AWS Amazon Bedrock & Generative AI – Beginner to Advanced
AWS Amazon Bedrock & Generative AI – Beginner to Advanced
Build Chatbot, Image Generation, RAG, Text Summarize Apps using Bedrock and Langchain. No prior AI/ML/Coding exp. req.
Created by Rahul Trisal | 8.5 hours on-demand video course
Welcome to AWS Amazon Bedrock & Generative AI – Beginner to Advanced Course. this the most comprehensive guide on Amazon Bedrock and Generative AI on AWS from a practising AWS Solution Architect and best-selling Udemy Instructor. 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 Foundation, Text Summarization using Cohere, Chatbot using Llama 2,Langchain, Streamlit and Code Generation using Amazon CodeWhisperer. The focus of this course is to help you switch careers and move into lucrative Generative AI roles.
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
- 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
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Who this course is for:
- The course is designed to help you switch careers and move into lucrative Generative AI and Amazon Bedrock roles.
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