AI-powered learning
Save this course
Llama Stack: From Fundamentals to Deployment
This course guides you through Llama Stack and its key components, including agentic workflows, RAG systems, safety mechanisms, monitoring, and deployment.
4.8
16 Lessons
5h
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- A foundational understanding of Llama Stack architecture, components, and local development setup
- Hands-on experience using the Inference API for text generation and prompt engineering
- The ability to design and implement retrieval-augmented generation (RAG) systems with Agents, Tools, and the Memory API
- Proficiency in applying the Safety API and setting up monitoring systems for AI applications
- The ability to evaluate AI application performance and interpret telemetry data
- The ability to integrate multiple models and providers and scale Llama Stack deployments
- Hands-on experience orchestrating complex agent workflows for real-world AI solutions
Learning Roadmap
YOUR ROADMAP
1.
Introduction to Generative AI
Introduction to Generative AI
Learn the fundamentals of Generative AI, what Large Language Models are, and the powerful capabilities they unlock.
2.
Intelligent Interaction with GenAI
Intelligent Interaction with GenAI
Master effective AI communication and learn about RAG and agents to give your model dynamic, real-world context.
3.
Getting Started with Llama Stack
Getting Started with Llama Stack
3 Lessons
3 Lessons
Get hands-on with LlamaStack by setting up your local development environment and building your first AI application.
4.
Core Building Blocks: Architecture and Inference
Core Building Blocks: Architecture and Inference
2 Lessons
2 Lessons
Explore the core architecture of LlamaStack and learn to control model behavior by using the powerful Inference API.
5.
Agents, Tools, and Retrieval with Llama Stack
Agents, Tools, and Retrieval with Llama Stack
4 Lessons
4 Lessons
Build powerful agents that use external tools and create a complete RAG system to answer questions from a custom knowledge base.
6.
Safety, Monitoring, and Evaluation
Safety, Monitoring, and Evaluation
3 Lessons
3 Lessons
Prepare your app for the real world by implementing safety guardrails, monitoring performance, and evaluating response quality.
7.
Advanced Integration and Beyond
Advanced Integration and Beyond
4 Lessons
4 Lessons
Master advanced LlamaStack by integrating different cloud providers and designing complex, multi-tool agentic workflows.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Complete more lessons to unlock your certificate
Developed by MAANG Engineers
ABOUT THIS COURSE
This course covers the core concepts of the Llama Stack, including its architecture, components, and local development setup. You’ll build your first AI app, explore the Inference API to generate intelligent, context-aware responses, and dive into agentic workflows with retrieval-augmented generation (RAG).
You’ll work with Agents, Tools, and the Memory API to build interactive apps using custom knowledge bases. The course also includes safety with the Safety API, monitoring, and telemetry for performance optimization.
Advanced topics include multi-provider integration, deployment, and scaling. By the end, you’ll be ready to build and manage production-grade AI systems.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
Built for 10x Developers
No Passive Learning
Learn by building with project-based lessons and in-browser code editor
Personalized Roadmaps
The platform adapts to your strengths & skills gaps as you go
Future-proof Your Career
Get hands-on with in-demand skills
AI Code Mentor
Write better code with AI feedback, smart debugging, and "Ask AI"
MAANG+ Interview Prep
AI Mock Interviews simulate every technical loop at top companies
Free Resources
