AWS Generative AI and Foundation Models
Completed by Kakeru Iida
May 13, 2026
5 hours (approximately)
Kakeru Iida'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: Technology Solutions
- Category: Amazon Bedrock
- Category: Token Optimization
- Category: AI Integrations
- Category: LLM Application
- Category: Amazon Elastic Compute Cloud
- Category: Large Language Modeling
- Category: Package and Software Management
- Category: Retrieval-Augmented Generation
- Category: AWS SageMaker
- Category: Rust (Programming Language)
- Category: Model Deployment
