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
Content
1.
Getting Started with Llama Stack
3 Lessons
Understand the foundational concepts of Llama Stack, including its architecture, core components, and benefits, and set up a local development environment.
2.
Core Building Blocks: Architecture and Inference
2 Lessons
Learn about Llama Stack’s fundamental architectural components and apply them for text generation, prompt engineering, and building context-aware interactions.
3.
Agents, Tools, and Retrieval with Llama Stack
4 Lessons
Build interactive AI applications using Llama Stack’s APIs and implement retrieval-augmented generation (RAG) using Agents and the Memory API.
4.
Safety, Monitoring, and Evaluation
3 Lessons
Learn how to implement safety guardrails using the Safety API, set up monitoring and telemetry to track system performance, and evaluate AI applications.
5.
Advanced Integration and Beyond
3 Lessons
Understand and leverage provider abstraction for diverse models and deployment environments. Explore best practices for scaling Llama Stack deployments.
6.
Conclusion
1 Lessons
Summarize the key skills and concepts learned throughout the course and examine the generative AI applications built with Llama Stack.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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