| 1. AWS API Gateway Refresher.mp4 | 236.5 MB | ||
| 1. AWS Lambda - Overview.mp4 | 31.4 MB | ||
| 1. Amazon CodeWhisperer - Introduction.mp4 | 14.6 MB | ||
| 1. Basic Python Programming Refresher - Part 1.mp4 | 47.2 MB | ||
| 1. Course Introduction.mp4 | 46 MB | ||
| 1. Section Introduction Use Case 2 - Text Summarization.mp4 | 8.2 MB | ||
| 1. Section Introduction- Use Case for Media and Entertainment Industry.mp4 | 8.1 MB | ||
| 1. Section Overview - Amazon Bedrock.mp4 | 3.5 MB | ||
| 1. Section Overview - Evolution of Generative AI.mp4 | 4.5 MB | ||
| 1. Section Overview - Fine Tuning of Foundation Model.mp4 | 3.7 MB | ||
| 1. Section Overview - Foundation Model Selection for your Use Case.mp4 | 3.7 MB | ||
| 1. Section Overview - GenAI Project Lifecycle and Use Case Identification.mp4 | 2.5 MB | ||
| 1. Section Overview - Generative AI & Foundation Models Concepts.mp4 | 4.5 MB | ||
| 1. Section Overview - Prompt Engineering.mp4 | 3.9 MB | ||
| 1.1 python_refresher.py | 1.3 KB | ||
| 10. End to End Demo.mp4 | 30.5 MB | ||
| 2. AWS Lambda - Invocation.mp4 | 22.6 MB | ||
| 2. Amazon Bedrock - Introduction.mp4 | 30.5 MB | ||
| 2. Amazon CodeWhisperer - Installation.mp4 | 18.1 MB | ||
| 2. Artificial Intelligence - Overview.mp4 | 15.7 MB | ||
| 2. Basic Python Programming Refresher - Par 2.mp4 | 92.6 MB | ||
| 2. Fine Tuning of Foundation Model - Overview.mp4 | 19.6 MB | ||
| 2. Foundation Model Selection Criteria - Theory - Part 1.mp4 | 30.5 MB | ||
| 2. Must Watch - Tips to Optimize Learning & Download Course Content Slides.mp4 | 15.7 MB | ||
| 2. Overview of GenAI Project Lifecycle.mp4 | 9.3 MB | ||
| 2. Prompt Engineering - 1.mp4 | 38.4 MB | ||
| 2. Text Summarization - Use Case Description and Architecture.mp4 | 13.6 MB | ||
| 2. Use Case Pre-Requisites - Model Access and Lambda Boto3 Version Upgrade.mp4 | 87.8 MB | ||
| 2. What is Generative AI and Use Cases.mp4 | 22.6 MB | ||
| 2.1 Amazon Bedrock and AWS Generative AI - Beginner to Advanced_v1.0_24122023.pdf | 5.4 MB | ||
| 2.1 PythonCode_Lambda_Boto3VersionCheck.py | 204.8 B | ||
| 3. Amazon CodeWhisperer - Create S3 bucket.mp4 | 57.6 MB | ||
| 3. Bedrock - Console Walkthrough - 1.mp4 | 76.5 MB | ||
| 3. Boto3 Introduction.mp4 | 81.9 MB | ||
| 3. Creation of AWS Lambda function and Boto3 upgrade.mp4 | 26.3 MB | ||
| 3. Fine Tuning of Foundation Model - Architecture.mp4 | 16.1 MB | ||
| 3. Foundation Model Selection Criteria - Theory - Part 2.mp4 | 57.2 MB | ||
| 3. GenAI - Use Case Identification Approach.mp4 | 25.4 MB | ||
| 3. How Generative AI works 1 - Prompt, Completion and Infererences.mp4 | 48.7 MB | ||
| 3. Machine Learning - Supervised, Unsupervised and Reinforced Learning.mp4 | 50.3 MB | ||
| 3. Prompt Engineering - 2.mp4 | 45 MB | ||
| 3. Use Case Description - Media and Entertainment Industry.mp4 | 14.3 MB | ||
| 3.1 PythonCode_Lambda_demoManufacturing.py | 1.4 KB | ||
| 4. Amazon Bedrock - Data Privacy Challenges.mp4 | 6.5 MB | ||
| 4. Amazon CodeWhisperer - Create VPC and RDS.mp4 | 151.2 MB | ||
| 4. Bedrock - Console Walkthrough -2.mp4 | 88.7 MB | ||
| 4. Deep Learning and Neural Networks.mp4 | 55.5 MB | ||
| 4. Foundation Model Selection Criteria - HandsOn.mp4 | 98.2 MB | ||
| 4. How Generative AI works - Basic Concepts and Terminology - 2.mp4 | 57.2 MB | ||
| 4. Prompt Engineering Techinques.mp4 | 24.7 MB | ||
| 4. Use Case Architecture - Amazon Bedrock (Stability AI), Lambda and S3.mp4 | 12.6 MB | ||
| 4. Writing the AWS Lambda function to connect to Bedrock Service - 1.mp4 | 105.9 MB | ||
| 5. Amazon Bedrock - Architecture.mp4 | 24.8 MB | ||
| 5. Creation of S3 Bucket and Lambda Function.mp4 | 66 MB | ||
| 5. Fine Tuning of Foundation Models - Hands On.mp4 | 86.6 MB | ||
| 5. Service Offerings in Generative AI from AWS.mp4 | 53.3 MB | ||
| 5. Steps to engineer a good prompt.mp4 | 2.6 MB | ||
| 5. Writing the AWS Lambda function to connect to Bedrock Service - 2.mp4 | 161.4 MB | ||
| 5.1 PythonCode_Lambda_moviePosterDesignFunction.py | 1.9 KB | ||
| 5.1 manufacturingUseCase_fineTuningData.json | 2 KB | ||
| 6. AWS Lambda and Bedrock Integration - 1.mp4 | 163.2 MB | ||
| 6. Amazon Bedrock - Infererence Parameters - Temperature.mp4 | 67.9 MB | ||
| 6. Create REST API using AWS API Gateway and Lambda Integration.mp4 | 49.7 MB | ||
| 7. AWS Lambda and Bedrock Integration - 2.mp4 | 90.7 MB | ||
| 7. Amazon Bedrock - Infererence Parameters - 2.mp4 | 56.5 MB | ||
| 7. End to End Demo.mp4 | 29.8 MB | ||
| 8. AWS Lambda and S3 Pre Signed URL.mp4 | 79.3 MB | ||
| 8. Bedrock - Pricing.mp4 | 51.5 MB | ||
| 9. AWS API Gateway and Lambda Integration.mp4 | 86.4 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 71 total files | |||
Amazon Bedrock & AWS Generative AI - Beginner to Advanced
https://DevCourseWeb.com
Published 12/2023
Created by Rahul Trisal
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 63 Lectures ( 6h 18m ) | Size: 3 GB
Complete guide to build Enterprise GenAI Apps using Amazon Bedrock on AWS. No prior AI/ML/Coding exp. req.
What you'll learn:
Learn fundamentals about AI, Machine Learning and Artificial Neural Networks.
Learn about how Generative AI works and deep dive into Foundation Models.
Amazon Bedrock – Detailed Console Walkthough, Bedrock Architecture, Pricing and Inference Parameters.
Use Case 1: Media and Entertainment Industry: Generate Movie Poster Design using API Gateway, S3 and Stable Diffusion Foundation Model
Use Case 2: Text Summarization for Manufacturing Industry using API Gateway, S3 and Cohere Foundation Model
GenAI Project Lifecycle: Phase 1 - Use Case Selection - Discuss about various phases of GenAI and How to identify right use case
GenAI Project Lifecycle: Phase 2 - Foundation Model Selection - Theory and Handson using AWS Bedrock Model Evaluation Service
GenAI Project Lifecycle: Phase 3 - Prompt Engineering - Factors Impacting Prompt design - Claude, Amazon Titan, Stability Diffusion, Prompt design Techniques
GenAI Project Lifecycle: Phase 4 - Fine Tuning of Foundation Models - Theory and Hands-On
Code Generation using AWS CodeWhisperer and CDK - In Typescript
Python Basics Refresher
AWS Lambda and API Gateway Refresher
Requirements:
There are no course pre-requisites for this course except basic AWS Knowledge. I will provide basic overview of AI/ML concepts and have included Python, AWS Lambda and API Gateway refresher at end of course in case you are not familiar with python coding or these AWS services.
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Udemy - Amazon Bedrock Masterclass - The Ultimate Generative Ai Guide Posted by
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