Amazon Bedrock & AWS Generative AI - Beginner to Advanced
Last updated 7/2024
Duration: 11h11m | .MP4 1920x1080, 30 fps(r) | AAC, 44100 Hz, 2ch | 6.87 GB
Genre: eLearning | Language: English

Build a Chatbot, Banking Agent, Image Generation, RAG, Text Summarize with Amazon Bedrock. No prior AI or Coding exp req

What you'll learn
Learn fundamentals about AI, Machine Learning and Artificial Neural Networks.
Learn 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
Use Case 3 - Build a Chatbot using Bedrock - Llama 2 Foundation Model, Langchain and Streamlit
Use Case 4- Employee HR Q & A App with Retrieval Augmented Generation (RAG) - Bedrock - Claude Foundation Model + Langchain + FAISS + Streamlit
Use Case 5 : Serverless e-Learning App using Bedrock Knowledge Base + Claude FM + AWS Lambda + API Gateway
Use Case 6 : Build a Retail Banking Agent using Amazon Bedrock Agents & Knowledge Bases
Use Case 7 : Code Generation using AWS CodeWhisperer and CDK - In Typescript
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
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
Amazon Bedrock and GenAI Course :
***Hands - On Use Cases implemented as part of this course***
Use Case 1
-

Generate Poster Design
for Media Industry 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
Use Case 3
-
Build a Chatbot
using Amazon Bedrock - Llama 2, Langchain and Streamlit.
Use Case 4
-
Build an Employee HR Q & A Application with Retrieval Augmented Generation (RAG) -
Claude FM + Langchain (Ochestrator)+ FAISS (Vector DB) + Streamlit
Use Case 5 - Serverless e-Learning App
using
Bedrock

Knowledge Base

+ Claude FM
+ AWS Lambda + API Gateway
Use Case 6 - Build a Retail Banking Agent
using
Amazon Bedrock Agents and Knowledge Bases -
Claude Sonnet +
AWS Lambda + DynamoDB +
Bedrock Agents + Knowledge Bases + OpenAPI Schema
Use Case 7 - Code Generation using AWS CodeWhisperer
and CDK - In Typescript
Welcome to the most comprehensive guide on Amazon Bedrock and Generative AI on AWS from a practising AWS Solution Architect and best-selling Udemy

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