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  • 2020-2024  (153)
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  • 2020-2024  (153)
  • 2020-2022
  • 1950-1954
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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: First episode of 52 Weeks of Swift. Cover Swift Playgrounds in Xcode as well as building a command-line tool using third party Swift argument parsing.
    Note: Online resource; Title from title screen (viewed January 12, 2022) , Mode of access: World Wide Web.
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to develop with AWS App Runner and AWS Lambda
    Note: Online resource; Title from title screen (viewed January 19, 2022) , Mode of access: World Wide Web.
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  • 3
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (20 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Amazon Web Services (Firm) ; Infonuagique ; Services Web ; Cloud computing ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Continue learning about Solutions Architect certification this time with automation. Opsworks, Beanstalk, Chef and Cloud Formation. 00:00 Intro.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 4
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Machine learning ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Explore Open AI using Github Codespaces 00:00 Intro 03:12 Getting started with OpenAI 06:45 Using Open AI Quickstart Guide with NLP prompts 09:16 Tokens and probabilities 10:46 Trying out Python Flask with Open AI 12:00 Setting up Github CodeSpaces 14:00 Create and source virtualenv 16:00 Create OpenAI API keys in Visual Studio Code 18:55 Setup requirements.txt for Open AI and Flask 20:00 Run Flask OpenAI NLP web app in Github CodeSpaces with Browser preview 22:00 Understand the OpenAI function and test it out with IPython locally.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 5
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/8
    Keywords: Amazon Web Services (Firm) Study guides Examinations ; Web services Study guides Examinations ; Cloud computing Study guides Examinations ; Electronic data processing personnel Certification ; Services Web ; Examens ; Guides de l'étudiant ; Infonuagique ; Examens ; Guides de l'étudiant ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to connect networks on AWS .
    Note: Online resource; title from title details screen (O’Reilly, viewed March 10, 2022)
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  • 6
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Cloud computing ; Natural language processing (Computer science) ; Application program interfaces (Computer software) ; Artificial Intelligence ; Natural Language Processing ; Intelligence artificielle ; Infonuagique ; Traitement automatique des langues naturelles ; Interfaces de programmation d'applications ; artificial intelligence ; APIs (interfaces) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: I talk with the authors of the new O'Reilly book GPT-3 about a range of topics including why they wrote the book. 00:00 Intro 01:30 Why did you write the book? 11:30 Can you write code by talking with GPT-3? 16:00 Is Async Work + GPT-3 a good combination? 19:30 Replica 23:00 How could someone with no technical background write code by talking with GPT-3? 29:30 Could we have organic technology where companies don't harm humans at scale? 39:00 The challenges of making ethical AI software 42:00 Do Tech companies pretend they cannot be ethical, but don't because it lowers profits? 45:00 You cannot predict what they models will do 49:00 Do tech leaders set the values of their companies? 52:00 Are humans often lacking in moral values with technology as well? 54:00 How you can buy the book and follow the authors.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 7
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Interview with O'Reilly authors John Culkin and Mike Zazon for AWS Cookbook. Buy a copy here: https://www.amazon.com/AWS-Cookbook-Recipes-Success/dp/1492092606/ 00:00 Intro 02:00 Why book? 10:00 VMs vs Containers 17:00 security scanning containers 26:29 Demo recipes 32:56 CDK 55:15 cleanup
    Note: Online resource; Title from title screen (viewed February 1, 2022) , Mode of access: World Wide Web.
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  • 8
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: I walk through the official Swift guide and try out Operators. 00:00 Intro 02:47 basic statements 08:00 Basic operator types 14:59 Conditional Statements 22:00 For loops with range 28:00 NOT AND OR
    Note: Online resource; Title from title screen (viewed January 26, 2022) , Mode of access: World Wide Web.
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  • 9
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn 52 weeks episode 7, swift closures 00:00 Intro; 00:36 What is a closure?; 02:00 Sorted; 06:00 Inferring Type From Context; 15:00 Various exotic topics in closures.
    Note: Online resource; title from title details screen (O’Reilly, viewed March 10, 2022)
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  • 10
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Continue to learn about AWS Solutions Architecture on the topic of Decoupling 00:00 Intro 04:00 Forms of decoupling 07:00 SQS 12:00 SQS Use Cases 19:27 SNS 23:21 SNS vs SQS.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 11
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: First episode of the series 52 weeks of MLOps. This episode starts with Tensorflow. 00:00 Intro 03:00 Walk through of options for deploying Tensorflow 06:00 Using Colab Notebook runtime options including GPU and TPU 08:00 Creating a copy of Colab into Github 09:41 Using MNIST dataset to do work with Keras 12:48 Training a model with Keras in Colab 14:00 Running a simple TFX Pipeline in Colab with Tensorflow 23:00 Inspecting the contents of the exported Tensorflow model on disk.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 12
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file, approximately 14 min.)
    Edition: 1st edition.
    Keywords: Electronic videos
    Abstract: 52 Weeks of Swift_ Episode 8-Enumerations 00:00 Intro 03:30 Using .dot syntax with enum 08:29 Associated values for enumeration 13:45 Recursive enumerations Okay, so I'm live here with 52 weeks of Swift and getting into a numeration is today, still going through the Swift language guide. And I'm going to start off with sharing some, some code here on a numeration syntax. To start with, if we go and paste some of this in, here we go, you can see that the num, right here says that this is really the flavor of what it looks like. And if we wanted to build this out into exactly sort of workable code, you can see here that make this thing, have the ability to do case statements. And then what's great about this is that I can, you know, essentially select which one of these fits the case that I that I need. So let's go ahead and run this. Here we go, we see that this is actually working code. And so you can basically use this as something that can really be related values, or typesafe. Way to deal with things in Swift. And in particular, one of the things that I'm going to do is I'm going to go ahead and take a look at this planet. We'll go next year. And take a look at this. And we see that in this case, I say, case Mercury, Venus, Earth, Mars, Jupiter, Uranus, Neptune, there we go. And so how would I actually use this.
    Note: Online resource; Title from title screen (viewed March 10, 2022)
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  • 13
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (20 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn control flow with Swift 00:00 Intro 01:57 For Loops 03:54 For Loops Dictionaries 08:00 While Loops 11:00 Case Statements.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 14
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Live coding with Hugging Face models and transformers as well as exploring TFHub 00:00 Intro 01:56 Looking at Tensorflow Hub 04:18 Exploring Tensorflow Hub 05:04 Looking at Pegasus Models in Hugging Face 05:28 Exploring Inference API for Hugging Face Models 07:17 Exploring DistilGPT2 Model in Hugging Face 09:00 Installing Hugging Face in Google Colab notebook 10:49 Using Hugging Face Transformers 12:00 Installing packages in Github CodeSpaces using virtualenv and requirements.txt 13:33 Using Transformers in Hugging Face 15:51 Doing Sentiment Analysis with Hugging Face 20:00 Doing Zero Shot Classification with Hugging Face 22:00 Analyzing Elon Musk statements and FSD (autonomous vehicles) using Zero Shot Classification 26:00 Doing Text Generation with Hugging Face.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 7, 2022)
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  • 15
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Episode three covers serving models with TensorFlow Serving 00:00 Intro 02:02 Launching Github CodeSpaces 04:00 Running make install 05:00 Creating Bash script to run tensorflow serving 09:00 Feeding model to Tensorflow Serving 14:00 Querying Tensorflow Serving API 16:00 Trying Docker version of Tensoflow Serving 22:00 Trying MNIST with Tensorflow Serving 23:00 Using Docker pull to speed up the process 27:30 Invoking Tensorflow Serving model endpoint.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 16
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (45 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Machine learning ; Computer software ; Development ; Machine learning ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: More Hugging Face exploration by Building a Computer Vision Predictor with Gradio 00:00 Intro 00:42 Hugging Face walkthrough 02:09 Create new Hugging Face Space 03:28 Build Gradio app in Hugging Face browser 04:44 Experiment with Gradio UI 07:31 Try Hosted Inference API 09:28 Try DALL-E 17:00 Predict cats with computer vision model 22:00 Try to load packages inside of Spaces user interface browser only 27:00 Toggling to Github CodeSpaces 32:59 Getting Gradio Computer Vision URL predictor working in Github CodeSpaces.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 17
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (14 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Exploring concurrency options with Swift 00:00 Intro 01:14 Asynchronous code 03:20 Looking at await 06:19 Using async functions 07:00 Looking at for try await 08:59 Looking at async let 10:53 Exploring actor.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 18
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn about caching content in the next episode of 52 weeks of AWS 00:00 Intro 00:40 Trading capacity for speed 03:00 Why Cache? 06:00 CloudFront 12:00 DDoS mitigation 14:00 Sticky sessions 17:00 Side Caches 20:00 Memcached versus Redis 21:09 Caching Strategies.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 26, 2022)
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  • 19
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (33 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this episode of 52 weeks of Live Coding MLOps I dive into serving out TensorFlow models to the world. 00:00 Intro 02:00 TensorFlow Serving - What is it? 07:00 TensorFlow Serving colab notebook 08:54 Porting code from Colab to Github 10:00 Build Python Tensorflow model scaffolding 13:23 Using pip freeze to get a list of dependencies 17:00 Attemping a first script for MLOps 20:00 Saving the TensorFlow model 24:00 Installing debian packages for TensorFlow serving 29:00 Trying and failing to invoke the model.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 20
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (18 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) Certification ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to prepare for the AWS Solutions Architect Exam.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 21
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Microsoft .NET Framework ; Application software Development ; C (Computer program language) ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Diving into C# and .NET from the beginning with Live coding each week. 00:00 Intro 02:38 New Repository 05:04 Launch Github Codespaces 11:30 Trying out .NET Blazor 16:13 Editing Blazor Pages 22:53 Setting up Github Actions to build and test C#.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 22
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Machine learning ; Computer software ; Development ; Machine learning ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: More Hugging Face exploration of datasets 00:00 Intro 01:08 Trying to figure out what to explore in Hugging Face 02:00 Kicking the tires on Auto-Train 06:00 Finding datasets on Hugging Face 13:00 Creating new dataset repository 17:00 Looking through options for dataset repository hosting.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 23
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sagemaker pipelines and the AWS ML Certification 00:00 Intro 03:00 Define business objectives 05:00 Problem framing 07:20 Problem formulation 11:10 What data do you need? 12:37 Observations 14:15 Storing data in AWS 16:21 ETL 17:41 Securing data 19:19 Loading data into pandas 20:18 Descriptive statistics 23:25 Feature selection and extraction 24:40 Encoding ordinal data 25:48 Cleaning data 26:39 Missing values.
    Note: TItle details screen lists the episode as 25, actual video is for episode 26. - Online resource; title from title details screen (O'Reilly, viewed June 20, 2022)
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  • 24
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 2 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: 52 Weeks of AWS Episode 5: I dive into the penultimate Cloud Practitioner Material. Part3 + Network and Content Delivery, Compute Storage
    Note: Online resource; Title from title screen (viewed January 4, 2022) , Mode of access: World Wide Web.
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  • 25
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn Swift deinit and deinitializer methods 00:00 Intro 01:59 How deinitialization works 04:29 Building deinit methods 05:43 Running deinit methods.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 26
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (35 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to pass the AWS ML Certification with a deep dive into Part 2 of the Sagemaker Pipelines material. 00:00 Intro 02:39 Drop missing values 04:46 Outliers 06:57 Feature selection 10:55 File formats for machine learning 13:46 K-fold cross validation 15:55 Training models with Amazong SageMaker 17:33 XGBoost 19:29 Is your model ready to deploy? 22:05 Creating an endpoint 23:26 Machine learning pipeline 25:30 Confusion matrix 27:27 Sensitivity 29:02 Classification report: ROC graph 30:51 Hyperparameter categories 32:06 Sagemaker hyperparameter tuning.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 27
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Continuing to go through Swift language guide 00:00 Intro 01:46 Person Class 04:03 If else statements 06:34 subscript with getter and setter and function 08:18 putting optional chaining together.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 28
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of Apple Swift. This episode covers subscripts. 00:00 Intro 01:43 Subscript Syntax 03:30 Subscript Usage 05:00 Subscript Options 06:47 Subscript Matrix 07:00 Type subscripts.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 29
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (51 min.)) , sound, color.
    DDC: 004.67/82
    Keywords: Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Detailed conversation about Declarative AutoML with Piero Molino author of Ludwig and co-founder Predibase. 00:00 Intro 00:50 First meeting Piero at Strata in Moscone Center 10:50 Why Declarative AutoML? 12:00 Introducing Declarative ML Systems 16:44 Ludwig: declarative ML systems on PyTorch 18:06 Github Statistics for Ludwig 19:51 Ludwig training example via CLI 21:09 pip install ludwig and using the Programmatic API 26:32 How does Ludwig work? 26:53 Training with Ludwig 27:34 Predicting with Ludwig 29:59 Running Experiments with Ludwig 31:04 ludwig experiment --dataset 32:09 Input - Encoder - Decoder - Output 34:15 ParallelCNN encoding 35:42 Pretrained Transformers: bert distilbert t5 roberta gpt-2 40:44 concat combiner 41:18 Number features decoding 41:37 Vector featuers decoding 41:52 Sequence features decoding 42:30 Training parameters: batch_size, epochs, learning_rate, ... 43:07 Preprocessing parameters 43:33 Speaker Verification 44:03 Expected Time of Delivery 44:35 Summarization 45:04 Distributed Training, Ludwig on Ray 45:23 Running Ludwig on Ray 47:18 Ludwig Hyperpot with RayTune (Advanced) 48:51 Ludwig on Kubernetes 49:15 Managed Ludwig in Predibase 49:54 Predibase: Low-code ML, High-Performance.
    Note: Presenters, Noah Gift and Piero Molino. - Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 30
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Part 1 of solutions architect cert 00:00 Intro 01:30 Overview of Exam 07:00 AWS Architecture 08:00 Well Architected 11:00 Scalability 17:00 AWS Regions 22:00 AWS S3 26:00 AWS Costs 28:00 AWS Snowball and Snowmobile
    Note: Online resource; Title from title screen (viewed February 2, 2022) , Mode of access: World Wide Web.
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  • 31
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Episode 5: Collections Swift Collections 00:00 Intro 01:52 Collection Types 04:00 Array 07:00 Type Inference with Arrays 15:00 Sets 21:00 Dictionaries
    Note: Online resource; Title from title screen (viewed February 8, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file, approximately 26 min.)
    Edition: 1st edition.
    Keywords: Electronic videos
    Abstract: Learn to pass the Solutions Architect exam with security material 00:00 Intro 03:15 Components of Security 06:14 Identity bases vs. Resource bases 09:59 Cloud Trail 14:58 Role based privilages 19:26 SAML 23:31 Security Use Cases Alright, so I'm live here 52 weeks of AWS, continuing to cover the solutions architect certification material. And today I'm going to talk about securing user and application access. Probably one of the most timely topics that we can discuss for cloud computing, there is a lot of increased risk of cybersecurity threats in in the world right now. And there's conflicts that could potentially make your organization really need to care a bit more about cybersecurity. And so this is a great topic for today. So let's go ahead and dive right in here. I'm going to talk through this material on securing user and application access. I'm going to go ahead and share my screen if you're watching. Live here with the video, and let's get to it. Okay, so first up securing user application access. We're talking about some of the things like architectural needs the user account and I ns, how to organize users do federated users multiple accounts. also play around a little bit with AWS itself and do some demos, if it seems like it's needed. So by the end of this talk, today, I'm going to cover I am groups roles, how to use user Federation, also about AWS organizations, and how to manage multiple AWS accounts, which is, in fact, a really good process for many organizations. Okay, let's get into architectural need first.
    Note: Online resource; Title from title screen (viewed March 10, 2022)
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    Language: English
    Pages: 1 online resource (1 video file, approximately 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: In this episode I dive into IAC with AWS Lambda on AWS Cloud9 00:00 Intro 02:00 Overview of IAC Architecture 05:00 Setup AWS Cloud9 06:57 Read CDK Project Setup 08:00 Upgrade CDK 12:33 Create AWS Lambda in Python Marco/Polo Function 14:08 Setup CDK Stack 15:32 Deploy Changes via CDK Deploy 19:32 Invoke Lambda via CDK 21:15 Invoke Lambda via Cloud9
    Note: Online resource; Title from title screen (viewed January 26, 2022) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 32 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Episode 10: Solutions Architect Part 2- EC2 00:00 Intro 02:50 Compute choices 13:00 Instance Type 15:00 User data input 22:00 EC2 Storage 24:00 EFS
    Note: Online resource; Title from title screen (viewed February 8, 2022) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file (15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) Study guides Examinations ; Web services Study guides Examinations ; Cloud computing Study guides Examinations ; Services Web ; Examens ; Guides de l'étudiant ; Infonuagique ; Examens ; Guides de l'étudiant ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn networking for the Solutions Architect Exam 00:00 Intro.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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    Language: English
    Pages: 1 online resource (1 video file (30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to pass the AWS Solutions Architect Exam by learning about Databases 00:00 Intro 03:21 Storage Requirements 07:41 RDS Characteristics 12:03 RDS Demo 16:00 DynamoDB 19:21 DynamoDB Demo 23:40 DynamoDB Demo with AWS CloudShell and Boto3 and Python.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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    Language: English
    Pages: 1 online resource (1 video file (30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/6
    Keywords: Amazon Web Services (Firm) ; Web applications ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this episode of 52 weeks of AWS I continue to cover the solutions architect certification. The topic of building Microservices is the focus today. 00:00 Intro 00:38 Discuss new weekly office hours from noahgift.com for O'Reilly books and Coursera courses. 02:00 What are Microservices? 03:35 What are Microservices? 04:00 Characteristics of Microservices 06:00 What is a container? 09:00 ECS orchestration 11:00 Decomposing monolithic applications 12:32 AWS Fargate 13:00 What is serverless? 15:00 AWS Serverless offerings 15:30 AWS Lambda 23:00 AWS API Gateway 26:00 AWS Step Functions
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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    Language: English
    Pages: 1 online resource (1 video file (27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Episode 22 covers the preparing for Disasters. 00:00 Intro 02:37 Planning for failures 03:34 Avoiding and planning for disasters 05:37 Using the Well-Architected Framework design principles 05:51 Recovery Point objectives (RPO) 06:34 Recovery time objective (RTO) 07:12 Plan for disaster recovery 08:03 Storage and backup building blocks 09:50 S3 Cross-Region replication 10:41 EBS volume snapshots 11:41 File system replication 12:50 Compute Capacity recovery 13:44 Strategies for disaster recovery 15:01 Networking design for resilience 15:34 Databases and recovery 16:45 Automation Services: CloudFormation, Elastic Beanstalk and AWS OpsWorks 17:38 Four disaster recovery strategies: Backup and restore, Pilot light, Warm Standby and Multi-site 18:23 AWS Storage Gateway 24:00 Summary of common DR patterns.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Live coding Ludwig inside of Github Codespaces 00:00 Intro 02:28 Introduction to Ludwig 04:57 Creating Github Codespaces for Ludwig 08:30 Installing Ludwig inside of Github Codespaces with Ubuntu 12:32 Grabbing data for Ludwig to train Rotten Tomotoes on and do binary classification 16:48 Trying to figure out why lzma is not working 22:50 Failing hard on figuring out why lzma is not working (note need to compile Python). Will fix in next episode..
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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    Language: English
    Pages: 1 online resource (1 video file (11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Error Handing with Swift 00:00 Intro 01:07 Propogating Errors 01:47 Looking at an entire error propogation class 03:35 Using guards in Swift 06:01 Using catch in Swift 08:07 Using functions in Swift 09:45 Using a defer.
    Note: Online resource; title from title details screen (O'Reilly, viewed June, 21, 2022)
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    Language: English
    Pages: 1 online resource (1 video file (26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) Study guides Examinations ; Cloud computing Study guides Examinations ; Web services Study guides Examinations ; Amazon Web Services (Firm) ; Infonuagique ; Examens ; Guides de l'étudiant ; Services Web ; Examens ; Guides de l'étudiant ; Examinations ; Instructional films ; Internet videos ; Nonfiction films ; Study guides ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Continue learning about Solutions Architect certification with the topic of Elasticity. 00:00 Intro 02:00 Reactive architectures 04:39 What is elasticity? 06:00 Scaling horizontal vs vertical 12:35 DynamoDB scaling 15:00 Highly available systems 17:00 Route53 19:16 Monitoring.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2022)
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    Language: English
    Pages: 1 online resource (1 video file (10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of Apple Swift. This episode covers methods 00:00 Intro 01:01 Instance methods 03:40 The self Property 05:29 Modifying Value Types from Within Instance Methods 05:54 Type methods.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022). - Vendor-supplied metadata
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: iOS (Electronic resource) ; Swift (Computer program language) ; Application software Development ; Mobile apps ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this episode of 52 weeks of Swift I talk about inheritence in Swift and how it is used to create a more robust toolchain for iOS and macOS. 00:00 Intro 00:50 Property Values 03:00 Invoking a base Class 05:00 Subclassing 06:49 Subclass of a Subclass 08:00 Overriding.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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    Language: English
    Pages: 1 online resource (1 video file, approximately 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to build out Continuous Integration with Github Actions and all clouds. Azure, AWS, GCP and Github Codespaces in Python.
    Note: Online resource; Title from title screen (viewed January 18, 2022) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to prototype Amazon Web Services (AWS) ai and ml apis using awscloudshell and bash.
    Note: Online resource; Title from title screen (viewed January 7, 2022) , Mode of access: World Wide Web.
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    Language: English
    Pages: 1 online resource (1 video file, approximately 9 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: A walkthrough of building a basic phrase repeater console application in VS Code 2022, .NET 6 and C# 10
    Note: Online resource; Title from title screen (viewed January 1, 2022) , Mode of access: World Wide Web.
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (34 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to deploy containerized Microservices using Cloud9, ECR, App Runner and FastAPI automatically with AWS Code 00:00 0:37 Continuous Delivery Architecture 01:06 AWS App Runner 01:41 Building Containerized Microservices with FastAPI 03:22 Pinning requirements.txt to a specific version 06:10 Running FastAPI 10:40 Setup ECR 14:19 Setup ECR with AWS App Runner 16:10 Create containerized Flask API Microservice in Github Codespaces 18:54 Testing Swagger UI in Github Codespaces 20:11 Verify FastAPI Microservice in AWS App Runner 22:20 Setup AWS Code Build for Continuous Deployment with App Runner 30:12 Architectural Overview of Continuous Deployment 32:35 Verify Continuous Deployment with AWS Code Build and App Runner.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.31
    Keywords: Machine learning ; Cloud computing ; Apprentissage automatique ; Infonuagique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to master MLOPs patterns with Databricks MLFlow as well as sklearn 00:00 Intro.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 30, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Swift Classes and Structures 00:00 Intro.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2022)
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    Language: English
    Pages: 1 online resource (1 video file (17 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to build cloud pipelines with AWS Step Functions 00:00 Intro 01:00 Create AWS Lambda function in Python 04:00 Create return statement that returns JSON depending on type of event 05:49 Test the AWS Lambda function 08:00 Build a second AWS Lambda function that can parse first function 13:00 Create AWS Step Function that consumes both AWS Lambda functions for Pipeline.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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    Language: English
    Pages: 1 online resource (1 video file (33 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Microsoft Azure (Computing platform) ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to master the Databricks platform for doing MLOps.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Microservices Key Concepts - An Ongoing Series Select Microservice Key Concepts This video series covers key concepts of microservices. Lessons Covered Include: 1.0 benefits microservices intro 1.1 benefits microservice 1.2 Operationalizing Microservices 1.3 ci for microservices 1.4 aws api app runner 1.5 flask random fruit 2.0 containers microservice intro 2.1 containerized dotnet6 2.2 containerized ml Learning Objectives Learn key terminology and concepts in Microservices Understand foundational concepts in Microservices Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 30, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to build a Python Fire Command Line Interface (CLI) 00:00 Intro 00:27 Build Function to randomly generate fruit 01:45 Test out the function 02:31 Read Python Fire Documentation 03:00 Install Python Fire 03:40 Build Python Fire CLI 05:00 Invoke Python Fire Help Menu 05:22 Refactor Python Fire CLI 06:06 Test out the CLI with fruits.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Git (Computer file) ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Build solutions use the entire GitHub Ecosystem This video series covers all major components of the GitHub Ecosystem. It is a great way to learn how to use GitHub for your projects. Lessons Include: 1.1 Key Concepts GitHub Ecosytem 1.2 demo GitHub Repo with teaching template 1.3 demo codespaces 1.4 demo gpu whisper 1.5 demo gpu hugging face fine tuning 1.6 demo copilot 1.7 demo github actions 2.0 building devops projects with GitHub ecosystem and copilot 3.0 building logistics projects withGitHub ecosystem and copilot Topics Covered Include: Multi-hour project walkthroughs Deploying AWS Microservices Using Github Actions Using Copilot to enable productive AI Pair Programming Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 18, 2022)
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to deploy an AWS Lambda Function in Python with CDK. 00:00 Intro 00:36 Verify CDK Version 01:00 Initialize Python CDK app 02:09 Create AWS Python Lambda 02:50 Add AWS CDK Stack for AWS Lambda 03:42 Run cdk diff 04:06 bootstrap cdk 05:31 run cdk deploy result 06:01 test AWS Lambda in Console
    Note: Online resource; Title from title screen (viewed January 24, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to perform Continuous Delivery of Container Based Projects using ECR, Cloud9 and App Runner. 00:00 Intro 00:27 Architectural Overview 01:30 FastAPI project overview 01:50 Setup AWS Cloud9 03:20 Setup ECR 05:00 Setup AWS App Runner
    Note: Online resource; Title from title screen (viewed January 26, 2022) , Mode of access: World Wide Web.
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 40 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer software Testing ; Debugging in computer science ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to master Pytest via these tips and tricks 00:00 Intro 01:00 Key Concepts in Testing 10:00 Key Testing Terminology 15:00 Kazien equals DevOps 18:22 Setup Github 23:00 Setup Github Codespaces 25:00 Explaining Python pip freeze 33:00 Create Makefile 37:00 Pin requirements.txt 38:00 Cloud development environment concepts: AWS Cloud9 to Github Codespaces 43:00 Setup Github Actions 44:00 Configuring Matrix testing of Python 48:00 Building simple Python scripts as part of CI/CD and linting them with Pylint 56:00 Setup AWS CloudShell for CI/CD 01:00:09 Adding Python 3.7, 3.8, 3.9 and 3.10 to Matrix testing 01:04:00 Setup AWS Cloud9 01:11:00 Refactoring Python project to include testing directory and library directory 01:19:00 Setup Python Test Coverage 01:22:00 Adding Pytest to Github Actions YAML file 01:29:00 Creating Python library file that searches wikipedia and tests it 01:36:00 Adding Python Fire command-line tool 01:42:00 Running Pytests by search expression 01:44:30 Running Pytests by specifying tests 01:46:00 Marking tests in Pytest and avoiding slow tests 01:48:00 Profiling testing speed using Pytest 01:56:39 Doing distributed testing with xdist to spread tests to multiple cores 02:05:21 Created distributed testing group to distribute to multiple cores 02:09:00 Setup 32 Core 60GB RAM Cloud9 Machine to run massively parallel Pytests 02:13:58 Running distributed testing that doubles the speed of the tests 02:23:00 Setup Cloud-Native AWS Code Build testing with buildspec.yml that does distributed testing to 8 Core Build client.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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    Language: English
    Pages: 1 online resource (1 video file (3 hr., 1 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Application software Development ; Python (Computer program language) ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: GitHub Copilot Driven: Python DevOps from Functions to Continuous Delivery of Microservices on AWS Learn to use Python for DevOps and build a GitHub copilot driven microservice on AWS Noah Gift is the author of a course on Python for DevOps using GitHub Copilot. He explains how to deal with the file system, how to set up continuous integration, and how to build command line tools that help you automate your workflow. Noah explains some of the tools for building DevOps workflows on GitHub and wraps the course up with a FastAPI Microservice deployed on AWS using AWS App Runner. Topics Covered Include: Containers GitHub Actions GitHub Copilot GitHub Codespaces AWS App Runner Containers FastAPI Continous Integration and Continous Delivery Python DevOps DevOps Skills with the Python Ecosystem Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed November 8, 2022)
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Swift is a programming language that is designed to be a simple, yet powerful. 00:00 Intro 01:30 Diving into Type Casting 02:50 Type Casting in Swift 05:00 Type Casting in Swift with Example.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (16 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Amazon Web Services (Firm) Certification ; Machine learning Study and teaching ; Cloud computing ; Web services ; Amazon Web Services (Firm) ; Cloud computing ; Machine learning ; Study and teaching ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to pass the AWS ML Certification 00:00 Intro 03:00 AWS ML Certification Course Outline 05:21 What is the Data Scientist role? 05:58 Machine Learning engineer 06:33 Applied science researcher 07:08 Machine learning developer role 08:05 Resources and documentation 10:48 AWS SageMaker Studio Lab 13:18 AWS Machine Learning Lens.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 20, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (5 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Machine learning ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of Live Coding MLOps-The Series Live Coding on New and Exotic MLOps Tools Weekly This is a weekly series of live coding sessions on new and exotic MLOps tools. Live Coding Sessions Include: 1.0-52-Weeks-Live-Coding-MLOps-Episode-1-mlops-with-tensorflow 2.0-52-Weeks-Live-Coding-MLOps-Episode-2-Serving TensorFlow Models 3.0-52-Weeks-Live-Coding-MLOps-Episode-3-Serving Tensforflow with TensorFlow Serving 4.0-52-Weeks-Live-Coding-MLOps-Episode-4-Live Coding Hugging Face 5.0-52-Weeks-Live-Coding-MLOps-Episode-5-More Hugging Face 6.0-52-Weeks-Live-Coding-MLOps-Episode-6-Even More Hugging Face 7.0-52-Weeks-Live-Coding-MLOps-Episode-7-Open AI with Github Codespaces 8.0-52-Weeks-Live-Coding-MLOps-Episode-8-Live Coding Ludwig 9.0-52-Weeks-Live-Coding-MLOps-Episode-9-Diving into Ludwig 10.0-52-Weeks-Live-Coding-MLOps-Episode-10-mlrun 11-52-Weeks-Live-Coding-MLOps-Sagemaker-Studio-Lab Topics Covered Include: Enterprise MLOps MLOps MLOps on AWS MLOps on GCP MLOps on Azure MLOps and DevOps MLOps with Ludwig MLOPs with mlrun MLOPs with Sagemaker Studio Lab Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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  • 62
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python for DevOps 2023: GitHub Codespaces CI/CD Microservice Pipeline Deployed to AWS App Runner and GCP Cloud Run Learning The Core Principles of Python for DevOps From Zero During Live Coding This video series covers live coding a step by step Python Microservice that serves out geopy requests that convert to wikipedia pages that get convereted to key phrases via a FastAPI microservice that is deployed to AWS App Runner and GCP Cloud Run. Lessons Covered Include: How to setup a GitHub Codespaces CI/CD Pipeline from Zero How to arrange Python libraries and test them How to containerize a Python Microservice How to setup continuous delivery using AWS Cloud9 and ECR How to integrate AWS Code Build to do a CI/CD Pipeline that deploys to AWS App Runner How to setup continuous delivery using GCP Cloud Shell and GCR Learning Objectives Learn Python for DevOps using live coding Learning to build solutions with Python and FastAPI and Containers. Learning the key syntax and features of the Python Language Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/2
    Keywords: Computer software Development ; Software architecture ; Computer software ; Development ; Software architecture ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Containers Learning Containers During Live Coding This video series covers live coding Containers iteratively while learning the concepts. Lessons Covered Include: 1.0 ep1 getting started containers build tiny bash container Learning Objectives Learn Containers Learning to build solutions with Docker, Containers and Kubernetes Learning the key syntax and features of Containers Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 32 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Amazon Web Services (Firm) ; Python (Computer program language) ; Application program interfaces (Computer software) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate AWS with Python Master AWS by Coding with Python in this ongoing series This video series covers mastering AWS in Python from the absolute beginning with incremental weekly lessons. Follow along for a deep dive into programmatically mastering AWS with Python. 1.0 Assimilate AWS by using Github Copilot and Github Codespaces to build solutions for S3, Apigateway and Click. 2.0 refactor boto3 code build translation click tool Assimilate AWS By Coding 3.0 Assimilate AWS By Coding EP3 Bash CloudEnvs Containers: Use Bash to build CloudEnvs and Containers Topics Covered Include: Python Basics Github Repo for Assimilate AWS Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer software Development ; Python (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to build real-world Python Microservices that enable Continuous Delivery. 00:00 Intro 05:00 Scaffolding a project in Python 08:00 Setup Virtualenv 13:10 Building Makefile 24:00 Setup Github Actions 29:00 Formatting code with Python Black 45:09 Test code with Pytest and Pytest Coverage 50:30 Using Python Fire to build CLI 59:30 Write Wikipedia scraper 1:02:00 Use IPython to interact and debug code in Github Codespaces 1:08:00 Pinning FastAPI version number 1:12:00 Building FastAPI Microservice 1:18:00 Using Text blob NLP service to parse phrases 1:29:00 Debugging broken code 1:34:00 Building container 1:54:00 Setup AWS Code Build push to ECR (Elastic Container Registry) 2:02:00 Setup AWS Code Build to ECR to AWS App Runner Continuous Delivery View the code on Github here: https://github.com/noahgift/python-for-devops-april-2022.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 26, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python Functions Master Class 2023: Master Functions in Python and Deploy to AWS, GCP, and Azure Learning Python Fuctions During Live Coding This video series covers live coding the Language iteratively thus learning the language. Lessons Covered Include: 1.0 Master Functions in Python and Deploy to AWS, GCP, and Azure while learning click, fire and FastAPI Learning Objectives Learn Python Functions Learning to build solutions for the cloud using Python Learning the key syntax and features of the Python Language Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 9, 2023)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 53 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Cutting Edge MLOps from Zero with Hugging Face and OpenAI Learn by doing This video course takes you from zero all the way to building solutions using MLOps. First the theory of MLOps is explained, then you will learn how to build a MLOps style solution from scratch using Hugging Face and OpenAI. You will also learn to use AI tools like Github Copilot, Hugging Face Spaces, and OpenAI Codex. Learning Objectives Learn to use Github Codespaces and customize your environment with devcontainer.json Learn the foundations of MLOps Explore new topics in the upcoming book Enterprise MLOps by O'Reilly Learn to use Github Actions to test AI projects Learn to use Github Copilot to write code for both Hugging Face and OpenAI Learn to build AI solutions using GPT-3 Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 30 min.)) , sound, color
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Object-oriented programming languages ; Computer software Development ; Computer software ; Development ; Object-oriented programming languages ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: DevOps Theory to Practice Go from theory to implementation in this DevOps course with Python and AWS This video course will show you how to start your first day as a DevOps Engineer and progress. Topics Covered Include: DevOps Theory Learn useful Python skills for DevOps including working with the filesystem and processes. Build an AWS Boto3 tool with Python Fire for translation and test it with CI/CD. Build a containerized FastAPI service deployed to AWS App Runner through continuous delivery. Learning Objectives Learn the theory behind DevOps Walk through the implementation of several O'Reilly books including Python for DevOps, AWS for C# and Enterprise MLOps. Build an AWS Translation Service tool with Python and Boto3 Deploy a Pandas FastAPI web service with Python and FastAPI and AWS App Runner Build and use AWS CodeBuild with AWS App Runner Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 24, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Microsoft .NET Framework ; Application software Development ; C (Computer program language) ; Microsoft .NET Framework ; Application software ; Development ; C (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks .NET - The Series Iterative .NET Live Coding 1.0 52 Weeks Live coding NET ep1- Setup Github CodeSpaces for .NET 2.0 52 Weeks Live coding NET Episode2 - Going through Microsoft tutorial on CSharp 3.0 52 Weeks Live coding NET Episode3 - Running Blazor on .NET Core 4.0 52 Weeks of Live Coding NET Episode 4 - Starting with CDK and Failing 5.0 52 Weeks of Live Coding NET Episode 5 - Building a CDK App and Succeeding 6.0 52 Weeks net EP6 more cdk2.0 - Trying a more complicated CDK app and Failing Topics include CSharp Blazor .NET Core CDK 2.0 Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning Computer programs ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Doing Hugging Face Building Solutions with Hugging Face This video course will show you how to build solutions with Hugging Face. Topics Covered Include: 1.0 Introduction to Course 1.1 Learn to use MLOPs methodology to deploy a Hugging Face Spaces application using Github Actions. Learning Objectives Build applications with Hugging Face Apply MLOPs methodology to deploy a Hugging Face Spaces application using Github Actions. Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn * AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book WT.mc_id=academic-0000-alfredodeza) Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Julia (Computer program language) ; Computer programming ; Computer programming ; Julia (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of EIL (Exploring Interesting Languages) Learning Interesting Languages Live Coding This video series live coding languages iteratively thus learning the language. Lessons Covered Include: 1.0 52 weeks of exploring interesting languages Episode 1 Julia installing getting started 2.0 52 weeks of exploring interesting languages Episode 2 Julia strings 3.0 52 weeks of exploring interesting languages Episode 3 Julia functions 4.0 52 weeks of exploring interesting languages Julia Episode 4 Julia piping vectorizing functions 5.0 52weeks EIL Julia EP5 Control Flow Learning Objectives Exploring interesting languages and frameworks Learning to code in Julia Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (18 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.75/65
    Keywords: PostgreSQL ; Database management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Azure PostgreSQL Setup and deploy an Azure PostgreSQL database Learn how to setup a PostgreSQL database using the Azure cloud. From the different options you have to create a PostgreSQL database (flexible or single server) to connection strings and firewall settings. This video will walk you through all you need to know to setup the resources, understand the constraints, and then correctly connect from a remote workstation using psql . Learning Objectives In this video you will learn to: Use the Azure Portal to create a PostgreSQL database Select between single and flexible server options Understand the constraints to create a database Setup firewall settings for external access Use psql to connect from a remote workstation to PostgreSQL Use the default database to connect Resources Azure Fundamentals Certification Azure Fundamentals quick reference guide Azure remote compute for VSCode Automated Azure resource cleanup Learn Azure ML (AutoML) in One hour.
    Note: Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Step up your local setup by setting a remote compute instance with attached SMB storage and then connect your local VSCode editor so that you can execute code and Jupyter Notebooks remotely. In this video I go through everything you need to know to crete a compute instance in Azure, both in Azure Machine Learning Studio and using the Data Science Virtual Machine spot instance that allows you to save costs when running a high memory with GPU instance. Because remote compute instances in the cloud should be considered ephemeral, specially if you are using spot instances, this video also covers setting up a storage account and a file share configuration for a Samba share that allows you to attach that same storage to any compute. Topics include: Create an Azure compute instance Learn about Spot Instances and other cost savings Setup VSCode for remote code execution Create an SMB file share and attach it to a VM Execute Jupyter Notebooks remotely Useful links: * Github Repository with summary instructions * Create a File share documentation on Azure * Data Science VMs in Azure
    Note: Online resource; Title from title screen (viewed January 13, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: What are the three most important files in a Python project? * Makefile * Dockerfile * Requirements
    Note: Online resource; Title from title screen (viewed January 21, 2022) , Mode of access: World Wide Web.
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Perform Data Science on Day One! 00:00 Intro 02:02 Data Science Project Structure Overview 05:15 Create Github Repo 07:28 Launch Github Codespaces 11:34 Using Colab Notebook 12:47 Using TOC in Colab Notebook 14:43 Saving notebook to Colab to Github 19:52 Ingesting CSV files into Colab 22:31 Describing Data using df.describe() 24:30 Plotting data with seaboard 28:30 lmplot 29:30 Comparing cumulative deaths in Covid19 plot by state 32:40 Merging Pandas Dataframe with election and Sugar Consumption 37:38 Exporting CSV file and uploading to Github from Colab result 39:27 Continuous Integration of Jupyter Notebook with Github Actions 40:44 Create Makefile 44:32 Using Github Actions to test Jupyter via nbval plugin 45:43 Using Github Status Badge for Jupyter Notebook test run pass
    Note: Online resource; Title from title screen (viewed January 22, 2022) , Mode of access: World Wide Web.
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  • 76
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (16 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn about Swift Properties.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 77
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Build a very simple command line tool with Python without using external dependencies or frameworks. In this video you'll see how with just a few lines of Python you can transform a file into a script with a help menu. All by using the sys.argv module and a simple if statement. Although you can create more powerful command-line tools with other frameworks like argparse or external libraries like Click, you can still implement a quick script without them that includes a help menu Useful links: Github repo with sample code Introduction to Python
    Note: Online resource; Title from title screen (viewed February 5, 2022) , Mode of access: World Wide Web.
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  • 78
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Computer software Development ; C (Computer program language) ; Infonuagique ; C (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to use pure Cloud-Native tools to developer AWS Microservices in .NET 6.0. These services include: Cloud9, ECR, App Runner and Cloudshell. 00:00 Intro 00:43 AWS Microservices Architecture 02:00 Github C# Project Structure 02:23 AWS Cloud9 03:00 Building Docker Images for .NET 6 Web Service 04:00 Push to ECR 05:00 Setup AWS App Runner 06:47 Test service with AWS Cloudshell.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (23 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn functions in Swift 00:00 Intro 03:00 Calling functions 06:00 Multiple parameters 21:00 Nested functions.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 80
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (45 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Amazon Web Services (Firm) ; Cloud computing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to use AWS to continuously deploy a Hugo site that has global scale. 00:00 Intro 02:00 Create Github Repo 05:52 Launch AWS Cloud9 05:58 Download Hugo binary 11:00 Create Hugo Quickstart 17:00 Adding submodules for theme 23:00 Building Hugo locally and running it in Cloud9 26:00 Setup AWS S3 Static Hosting 30:30 Setup AWS CloudBuild for Continuous Delivery of Hugo 40:00 Verify Hugo deploy works.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Build a command-line tool with Apple's Swift language.
    Note: Online resource; Title from title screen (viewed January 10, 2022) , Mode of access: World Wide Web.
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  • 82
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to build an S3 Bucket Lister Console app using VS 2022 and AWS targeting .NET 6.
    Note: Online resource; Title from title screen (viewed January 3, 2022) , Mode of access: World Wide Web.
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  • 83
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (14 hr., 23 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of AWS-The Complete Series Master AWS with weekly episodes on all significant AWS certifications This video series covers all major AWS Certification exams, from the AWS Certified Developer Associate to the AWS Certified Solutions Architect. Lessons Include: 1.0-52-weeks-aws-introduction 2.0-52 Weeks AWS Episode 2-Getting Started with AWS 3.0-52 Weeks of AWS_ Episode 3_ AWS Cloud Practitioner Part 1 4.0-52 Weeks of AWS-Episode 4-Global-Infrastructure-AWS Cloud Practitioner Part 2 5.0-52 Weeks of AWS Episode 5_ Cloud Practitioner Part3 + Network and Content Delivery, Compute_Storag 6.0-52 Weeks of AWS Live Stream_ Episode 6-Final AWS CP Certification Walkthrough 7.0-52 Weeks of AWS-Episode 7_ Developing on AWS 8.0-Episode 8 52 weeks of AWS 9.0-52 weeks AWS episode 9 solutions architect-Beginning 10.0-52 Weeks AWS_ Episode 10-Compute 11.0-52 Weeks AWS_ Episode 11- Solutions Architect-Database 12.0-52 Weeks AWS_ Episode 12-Solutions Architect-Networking 13.0-52 Weeks AWS_ Episode 13-Solutions Architect-Connecting Networks 14.0-52 Weeks of AWS Episode 9_AWS Cookbook 16.0-Weeks AWS_ Episode 16-)Solutions Architect-Securing-Users 17.0-Weeks AWS_ Episode 17-Solutions Architect Continued-Elasticity 18.0-52 Weeks AWS_ Episode 18-Solutions Architect Continued-Automate Infra 19.0-52 Weeks AWS_ Episode 19-Solutions Architect Continued-Caching Content 20.0-52 Weeks AWS_ Episode 20-SA- Continued-Building Decoupled Architectures 21.0-52 Weeks AWS_ Episode 21-SA- Building Microservices 22.0-52 Weeks AWS_ Episode 22-SA-Planning for Disaster 23.0-52 Weeks AWS_ Episode 23-SA-Bridging to Certification 24.0-52 Weeks AWS_ Episode 24-AWS ML Certification-Welcome to ML foundations 25.0-52 Weeks AWS_ Episode 25-AWS ML Certification_ Wk2-Introduction to ML 26.0-52 Weeks AWS_ Episode 25-AWS ML Certification_ Wk3-Amazon SageMaker-Part2 27.0-52 Weeks AWS_ Episode 25-AWS ML Certification_ Wk3-Amazon SageMaker 28.0-52 Weeks AWS_ Episode 27-AWS ML Certification_ Continued 29.0-52 Weeks AWS_ Episode 28-AWS ML Certification Continued 30.0-52-weeks-aws-Episode-29-AWS-ML-Certification-Conclusions 29-AWS Certified Machine Learning Engineering-Conclusion Topics Covered Include: AWS MLOps AWS Certified Cloud Practitioner AWS Certified Solutions Architect AWS Certified Machine Learning AWS Certified Developer Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (29 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: An ongoing series
    DDC: 006.3/1
    Keywords: Machine learning ; Machine learning ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: MLOps Key Concepts - An Ongoing Series Select MLOps Key Concepts This video series live coding languages iteratively thus learning the language. Lessons Covered Include: 1.0 MLOps Hierarchy of Needs: DevOps, DataOps, Platform Automation and MLOps Learning Objectives Learn key terminology and concepts in machine learning, data science, data operations and DevOps Understand foundational concepts in MLOps Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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  • 85
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 19 min.)) , sound, color
    Edition: [First edition].
    DDC: 005.1
    Keywords: Microsoft .NET Framework ; Application software Development ; C (Computer program language) ; Microsoft .NET Framework ; Application software ; Development ; C (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of .NET Learning .NET and C# by Live Coding This video series live coding .NET and iteratively learning the language. Lessons Covered Include: 1.0 52 Weeks of Live Coding NET Episode 1 codespaces.mp4 2.0 52 Weeks of Live Coding NET Episode 2 Xunit.mp4 3.0 52 Weeks of Live Coding NET Episode 3 Blazor.mp4 4.0 52 Weeks of Live Coding NET Episode 4 failing to get cdk1 working.mp4 5.0 52 Weeks of Live Coding NET Episode 5 success cdk2.mp4 Learning Objectives Learn .NET and C# and F# by Live Coding Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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  • 86
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (5 hr., 38 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Swift (Computer program language) ; Application software Development ; Application software ; Development ; Swift (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of Swift Learning Swift by Live Coding This video series live coding Apple's Swift language and iteratively learning the language. Lessons Covered Include: 1.0 52 Weeks of Swift Episode 1 getting setup 2.0 52 Weeks of Swift Episode 2 the basics 3.0 52 Weeks of Swift Episode 3 basic operators 4.0 52 Weeks of Swift Episode 4 strings characters 5.0 52 Weeks of Swift Episode 5 collection types 6.0 52 Weeks of Swift Episode 6 Functions 7.0 52 Weeks of Swift Episode 7 Closures 8.0 52 Weeks of Swift Episode 8 Enumerations 9.0 52 Weeks of Swift Structures and Classes 10.0 52 Weeks of Swift Episode 10 Properties 11.0 52 Weeks of Swift Episode 11 Methods 12.0 52 Weeks of Swift Episode 12 Subscripts 13.0 52 Weeks of Swift Episode 13 Inheritance 14.0 52 Weeks of Swift Episode 14 Deinitialization 15.0 52 Weeks of Swift Episode 14 Initialization 16.0 52 Weeks of Swift_ Episode 16 Error Handling 17.0 52 Weeks of Swift_ Episode 17 Concurrency 18.0 52 Weeks of Swift_ Episode 18 Type Casting 19.0 52 Weeks of Swift_ Episode 19 Nested Types 20.0 52 Weeks of Swift Generics 21.0 52 weeks of Swift EP21 Protocols 22.0 52 weeks of Swift OpaqueTypes Learning Objectives Learn Apple's Swift language by Live Coding Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Application software Development ; Python (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to refactor a Python script into a library called by Python Click CLI. 00:00 Intro 00:19 Refactoring to a library 01:44 Installing click 02:23 Importing refactored library 02:36 Building click options 05:04 Formatting code with Python Black and Running Click 06:14 Building conditional logic to print colored output.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Reinforcement learning ; Python (Computer program language) ; Machine learning ; Apprentissage par renforcement (Intelligence artificielle) ; Python (Langage de programmation) ; Apprentissage automatique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn Python in five Minutes with Colab Notebook. Covers statements, lists, dictionaries, and for loops. 00:00 Intro 00:25 Using Colab 00:40 Tables of Contents in Colab 00:55 Save copy in Github 01:05 Print hello world 01:24 print equation 01:50 Using f-strings to print 02:05 using list data structures 02:20 Appending to a list 02:45 Looping with for loops in Python 03:30 Pushing to a list 04:00 Random Pushing to a container 05:19 Using a dictionary in Python.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 89
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 19 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/17
    Keywords: Python (Computer program language) ; Application software Development ; Cloud computing ; Python (Langage de programmation) ; Logiciels d'application ; Développement ; Infonuagique ; Application software ; Development ; Cloud computing ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to build a project from zero, test it with Github Actions. Next, build both Click and Fire Command-Line Tools. Finally containerize a Fast API Wikipedia Scraper and deploy to AWS App Runner. 00:00 Intro 03:00 Statements in Python using Colab 10:00 List and Dictionaries Python 21:00 Using Github Codespaces to build project 38:00 Setup Github Actions 44:00 Python Functions 1:03:00 Build Wikipedia bot 1:12:00 Build Click Command-Line Tool Interface Wikipedia Bot 1:38:15 Build Python Fire Command-Line Tool 1:42:21 Build FastAPI Wikipedia Bot 1:56:00 Containerize FastAPI Wikipedia Bot with Docker 2:07:08 Deploy AWS App Runner FastAPI Wikipedia Bot with Docker.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2022)
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    [Erscheinungsort nicht ermittelbar] : Pragmatic AI Solutions | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Learn to use AWS Data Governance and Auditing Tools.
    Note: Online resource; Title from title screen (viewed January 15, 2022) , Mode of access: World Wide Web.
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (6 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Kubernetes ; Application software Development ; Computer programs ; Application program interfaces (Computer software) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Kubernetes for Data Learning Kubernetes For Data This video series covers the Kubernetes ecosystem for data. Lessons Covered Include Six Key Lessons: 1.0 What is Kubernetes? 1.1 Cluster Architecture 1.2 Pods and Nodes 1.3 Services and Deployments 2.0 Running Kubernetes with Minikube 3.0 3.0 4.0 5.0 1.1 Docker Container Demo 1.2 Minikube Demo 1.3 Minikube Dashboard 1.4 Deploying a containerized FastAPI App with Kubernetes Learning Objectives Learn Kubernetes for Data Learning to build solutions with Kubernetes for Data Learning the key syntax and features of Kubernetes for Data Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 21, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Go (Computer program language) ; Computer software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Go Learning Golang During Live Coding This video series covers live coding the Go Language iteratively thus learning the language. Lessons Covered Include: 1.0 Setup GitHub Codespaces and run hello world Go Learning Objectives Learn Go Learning to build solutions with Go Learning the key syntax and features of the Go Language Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 21, 2022)
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    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (50 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13
    Keywords: Scripting languages (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Bash Learning Bash During Live Coding This video series covers live coding the Bash Language iteratively thus learning the language. Lessons Covered Include: 1.0 Setup Bash GitHub Codespace for Bash and then build a phrase repeator cli with help menu and error handling Learning Objectives Learn Bash Learning to build solutions with Bash the shell Learning the key syntax and features of the Bash Language Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 21, 2022)
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  • 94
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Application program interfaces (Computer software) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Build Real-World AWS Microservices with Python and FastAPI From Zero. Practice end-to-end DevOps from scratch! This video will show you how to start from the absolute beginning of DevOps and build a real-world AWS microservice with Python and FastAPI. Topics Covered Include: 00:00 Introduction 01:00 Learning to use Github CodeSpaces 03:00 Building Python Project Scaffolding 06:50 Building Python virtualenv 09:00 Adding a Python Dependency 22:58 Setup GitHub Actions 34:00 Running Pylint on your project 42:00 Using a library you created 46:00 Building library tests with Pytest 51:00 Building CLI tools with Python Fire 59:00 Using IPython with libraries 01:02:09 Exploring Python wikipedia library 01:08:00 Using FastAPI and uvicorn 01:15:00 Exploring FastAPI Swagger API docs for microservice with wikipedia library 01:18:00 Adding NLP with textblob library in Python 01:29:00 Running tests with Pytest 01:34:00 Integrating Docker with FastAPI 01:50:00 Using AWS ECR (Elastic Container Registry) with FastAPI 01:52:00 Integrating AWS CodeBuild for Continuous Delivery to ECR Learning Objectives Using AWS to build real-world microservices Deploying AWS microservices with AWS CloudBuild and AWS App Runner for FastAPI Practice end-to-end DevOps from scratch with Python and FastAPI Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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  • 95
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/3
    Keywords: Amazon Web Services (Firm) ; Virtual storage (Computer science) ; Cloud computing ; Ordinateurs ; Mémoires virtuelles ; Infonuagique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to use AWS Storage Solutions Correctly. Hi, my name is Noah gift, and today I'm going to talk about AWS storage systems. We're going to talk about the elastic box system where EBS, also S3, the object storage system, which has unlimited data storage, and also EFS, the elastic file system. And finally, offsite backup, and also archiving systems with glacier, we're also going to do some demos of those products. Let's go ahead and get started. This video shoes both theory and hands on demos. * EBS (Elastic Block Storage) * EFS (Elastic File System) * S3 (Object Storage) * Glacier (Archiving) 00:00 Intro 00:49 Storage Module Overview 03:00 What is EBS? 11:00 EBS Demos 30:00 What is S3? 38:00 S3 Demos 48:00 Boto3 S3 Demos 49:00 What is EFS? 51:47 What is AWS Glacier?.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 96
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 39 min.)) , sound, color
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Neurolinguistic programming ; Web services ; Computer software ; Development ; Neurolinguistic programming ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Iteratively Build NLP Tools and FastAPI Microservice on AWS From Zero From Zero to NLP Hero This video will show you how to use CUDA GPUs with Python. Lessons Covered Include: 1.0 Introduction to Course 1.1 Introduction to Python Statements with Colab, IPython and GitHub CodeSpaces 2.0 Introduction to Python functions from simple to complex with Closure, and Decorators 3.0 Build a simple NLP Tool with TextBlob, Wikipedia and Python Fire command-line tool 4.0 Build an end-to-end NLP Microservice with FastAPI, ECR and AWS App Runner. Learning Objectives Learn key software engineering principles and best practices for building software. Learn to build NLP tools using TextBlob and Wikipedia. Learn to build a FastAPI containerized Microservice deployed via Amazon ECR and AWS App Runner. Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 24, 2022)
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  • 97
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 51 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: MLOps is consistently one of the greatest challenges engineers face when creating and maintaining machine learning systems. Join expert practitioners to learn techniques and best practices for operationalizing machine learning models and explore case studies of them in action, showing you what works--and what doesn't. What you'll learn and how you can apply it Understand MLOps processes for model deployment, containerization, and automation as well as monitoring, continuous experimentation, and improvement Learn how an understanding of SRE and DevOps principles can enhance the practice of MLOps Avoid common pitfalls in the process of building end-to-end machine learning pipelines This recording of a live event is for you because... You're a data or machine learning practitioner who puts machine learning models into production, or you're embarking on an MLOps career path. You want to improve your process of productionizing machine learning models by applying new techniques and best practices. Recommended follow-up: Read Practical MLOps (book) Read Reliable Machine Learning (book) Watch Radar Talks: Hugo Bowne-Anderson on MLOps Versus DevOps (video) Take Practical MLOps (live online course with Noah Gift) Take Open Source MLOps in 4 Weeks (live online course with Alex Kim) Read Site Reliability Engineering (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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  • 98
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Cloud computing ; Computer software Development ; Cloud computing ; Computer software ; Development ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate AWS Cloud Development Kit (CDK) Learning CDK During Live Coding This video series covers live coding CDK iteratively. Lessons Covered Include: 1.0 getting started with AWS Cloud9 and the AWS CDK or AWS Cloud Development Kit Learning Objectives Learn Infrastructure as Code (IaC) with AWS CDK Learning to build solutions with CDK Learning the key syntax and features of the CDK Python API and other languates Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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  • 99
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 31 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Amazon Web Services (Firm) ; Cloud computing Study guides Examination ; Web services Study guides Examinations ; Machine learning Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: AWS Certified Machine Learning - Specialty (MLS-C01)-2023 Learn to pass the AWS Certified Machine Learning - Specialty (MLS-C01) exam This video series prepares you to pass the AWS Certified Machine Learning - Specialty (MLS-C01) exam. The AWS Certified Machine Learning - Specialty (MLS-C01) exam is a pass or fail exam. The exam is scored against a minimum standard established by AWS professionals who follow certification industry best practices and guidelines. Domain 1: Data Engineering 1.0 course intro 1.1 technology prerequisite 1.2 sagemaker studio lab 1.3 learn aws cloudshell 1.4 cloud developer workspace advantage 1.5 prototyping ai apis aws cloudshell bash 1.6 cloud9 with codewhisperer 1.7 domain one intro 1.8 data storage 1.9 determine storage medium 1.10 using s3 demo 1.11 job styles batch vs streaming 1.12 data ingestion pipelines 1.13 aws batch demo 1.14 step function demo Domain 2: Exploratory Data Analysis 2.0 domain intro Sanitize and prepare data for modeling 2.1 cleanup data 2.2 scaling data 2.3 labeling data 2.4 mechanical turk labeling Perform feature engineering 2.5 identify extract features 2.6 feature engineering concepts Analyze and visualize data for machine learning 2.7 graphing data 2.9 clustering Conclusion 2.10 conclusion Domain 3: Modeling 3.0 domain intro Frame business problems as machine learning problems 3.1 when to use ml 3.2 supervised vs unsupervized 3.3 selection right ml solution Select the appropriate model(s) for a given machine learning problem 3.4 select models 3.5 sagemaker canvas demo Train machine learning models 3.6 train test split 3.7 optimization 3.8 compute choice Perform hyperparameter optimization 3.14 neural network architecture Evaluate machine learning models 3.18 overfitting vs underfitting 3.19 selecting metrics 3.22 compare models experiment tracking Conclusion 3.23 Conclusion Domain 4: Machine Learning Implementation and Operations 4.0 course intro Build machine learning solutions for performance, availability, scalability, resiliency, and fault 4.1 logging monitoring 4.2 multiple regions 4.3 reproducible workflow 4.4 aws flavored devops Recommend and implement the appropriate machine learning services and features for a given 4.5 provisioning ec2 4.5 compute choices 4.6 provisioning ebs 4.7 aws ai ml services Apply basic AWS security practices to machine learning solutions. 4.9 plp aws lambda 4.10 integrated security Deploy and operationalize machine learning solutions 4.13 sagemaker workflow 4.14 doing predictions with sagemaker canvas 4.16 retrain models Conclusion 5.0 course conclusion Topics Covered Include: Domain 1: Data Engineering Domain 2: Exploratory Data Analysis Domain 3: Modeling Domain 4: Machine Learning Implementation and Operations Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ 900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 8, 2022)
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  • 100
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/762
    Keywords: TypeScript (Computer program language) ; JavaScript (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate HTML/CSS/JS Learning Assimilate HTML/CSS/JS During Live Coding This video series covers live coding the Assimilate HTML/CSS/JS iteratively thus learning the language. Lessons Covered Include: 1.0 Get started with HTML, CSS and render out several static websites using node.js express. Learning Objectives Learn HTML/CSS/JS Learning to build solutions with HTML/CSS/JS Learning the key syntax and features of the HTML/CSS/JS Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 21, 2022)
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