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.
4.6
16 Lessons
5h
Updated 2 months ago
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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.
This course covers the core concepts of the Llama Stack, including its architecture, components, and local development setup. Yo...Show More
WHAT YOU'LL LEARN
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
A foundational understanding of Llama Stack architecture, components, and local development setup
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TAKEAWAY SKILLS
Learning Roadmap
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