Amazon Bedrock & AWS Generative AI – Beginner to Advanced

Free Download Amazon Bedrock & AWS Generative AI – Beginner to Advanced
Published 12/2023
Created by Rahul Trisal
MP4 | Video: h264, 1280×720 | 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.
Description:
Welcome to the most comprehensive guide on Amazon Bedrock and Generative AI on AWS from a practising AWS Solution Architect and best-selling Udemy Instructor.After taking this course, you will have detailed understanding of Generative AI, Amazon Bedrock & Foundation Models. You will be able to build end to end enterprise applications hands-on.The focus of this course is to help you switch careers and move into lucrative Generative AI roles.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.This course will start from absolute basics on AI/ML, Generative AI and Amazon Bedrock and teach you how to build end to end enterprise apps on Image Generation using Stability Diffusion, Text Summarization using Cohere and Code Generation using Amazon CodeWhisperer.I will continue to update this course as the GenAI and Bedrock evolves to give you a detailed understanding and learning required in enterprise context, so that you are ready to switch careers.Detailed Course OverviewSection 1 – Evolution of Generative AI: Learn fundamentals about AI, Machine Learning and Artificial Neural Networks (Layers, Weights & Bias).Section 2 – Generative AI & Foundation Models Concepts: Learn about How Generative AI works (Prompt, Inference, Completion, Context Window etc.) & Detailed Walkthrough of Foundation Model working.Section 3 – Amazon Bedrock – Deep Dive: Do detailed Console Walkthough, Bedrock Architecture, Pricing and Inference Parameters.Section 4 – Use Case 1: Media and Entertainment Industry: Generate Movie Poster Design using API Gateway, S3 and Stable Diffusion Foundation ModelSection 5 – Use Case 2: Text Summarization for Manufacturing Industry using API Gateway, S3 and Cohere Foundation ModelSection 6 – GenAI Project Lifecycle: Phase 1 – Use Case Selection – Discuss about various phases of GenAI and How to identify right use caseSection 7 – GenAI Project Lifecycle: Phase 2 – Foundation Model Selection – Theory and Handson using AWS Bedrock Model Evaluation ServiceSection 8 – GenAI Project Lifecycle: Phase 3 – Prompt Engineering – Factors Impacting Prompt design, Prompt design Techniques (Zero Shot, One Shot.), Good practices for writing prompts for Claude, Titan and Stability AI Foundation ModelsSection 9 – GenAI Project Lifecycle: Phase 4 – Fine Tuning of Foundation Models – Theory and Hands-OnSection 10 – Code Generation using AWS CodeWhisperer and CDK – In TypescriptSection 11 – Python Basics RefresherSection 12 – AWS Lambda RefresherSection 13 – AWS API Gateway Refresher
Who this course is for:
The course is designed to help you switch careers and move into lucrative Generative AI and Amazon Bedrock roles.
Homepage

www.udemy.com/course/amazon-bedrock-aws-generative-ai-beginner-to-advanced/