AWS Generative AI and Foundation Models
Completed by Nicole Tsai
May 17, 2026
5 hours (approximately)
Nicole Tsai's account is verified. Coursera certifies their successful completion of AWS Generative AI and Foundation Models
What you will learn
Build RAG pipelines on AWS using Bedrock knowledge bases, embedding pipelines, and foundation models to ground LLM responses in your own data
Use Amazon Q Developer for AI-assisted code generation, security scanning, and documentation across VS Code and IntelliJ
Compile, quantize, and deploy open-source LLMs using llama.cpp, GGUF format, and AWS GPU instances with performance optimizations from Amdahl's Law
Skills you will gain
- Category: LLM Application
- Category: Technology Solutions
- Category: Amazon Bedrock
- Category: Token Optimization
- Category: AI Integrations
- Category: AWS SageMaker
- Category: Rust (Programming Language)
- Category: Model Deployment
- Category: Retrieval-Augmented Generation
- Category: Amazon Elastic Compute Cloud
- Category: Large Language Modeling
- Category: Package and Software Management
