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Generative AI with Amazon Bedrock

Primer - AI Literacy

AI Literacy and Responsible Use
AI and Tools Reference
AI, ML, and AWS AI Services
Tokens and Embeddings
Ten Essential AI Skills
A Practical AI Workflow: Making AI Do the Heavy Lifting
Alignment with the U.S. DOL “Make America AI-Ready” Initiative

Module 1 - Fundamentals of Generative AI

Module 1: Fundamentals of Generative AI
Chapter 1: Introduction to Generative AI
Chapter 2: Foundation Models and Large Language Models
Chapter 3: Prompt Engineering
Chapter 4: Advanced Prompting Techniques
Chapter 5: Multimodal Prompting
Module 1 Labs: Hands-on with Amazon Bedrock

Module 2 - Responsible Generative AI

Module 2: Responsible Generative AI
Chapter 1: Evaluating LLMs
Chapter 2: Foundations of Responsible AI
Chapter 3: Dimensions of Responsible AI
Chapter 4: Improving Security and Safety
Module 2 Labs: Responsible AI in practice

Module 3 - Building Applications with Foundation Models

Module 3: Building Applications with Foundation Models
Chapter 1: LangChain Modules
Chapter 2: Developing Conversational Applications
Chapter 3: Retrieval-Augmented Generation
Chapter 4: Agents
Chapter 5: Multimodal Applications
Module 3 Labs: Building applications

Appendices

Appendix: Building a Free Serverless Backend with AWS Lambda and DynamoDB

Back matter

List of Figures
About the Author and Selected Publications
References

Repository
Open issue

Index

By Devharsh Trivedi, Ph.D., CISSP
Department of Computer Science
Bowie State University
ORCID 0000-0001-6374-7249

© Copyright 2026.

Last updated on Jun 16, 2026.

Adapted from the AWS Machine Learning University Generative AI curriculum.
Course content licensed under the terms in the source repository.