Amazon Bedrock & AWS Generative AI – Beginner to Advanced
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Amazon Bedrock & AWS Generative AI – Beginner to Advanced Course
Build a Chatbot, Banking Agent, Image Generation, RAG, Text Summarize with Amazon Bedrock. No prior AI or Coding exp req
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. This Amazon Bedrock & AWS Generative AI – Beginner to Advanced 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 Code Whisperer.
The focus of this Amazon Bedrock & AWS Generative AI – Beginner to Advanced 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. 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.
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
- Use Case 3 – Build a Chatbot using Bedrock – Bedrock – Llama 2, Langchain and 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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Amazon Bedrock & AWS Generative AI Course Information
- Instructor: Rahul Trisal
- Duration: 11 hours
- Language: English
- Source: Udemy
