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Intermediate Artificial Intelligence & Machine Learning en

Llama Stack: From Fundamentals to Deployment

Educative
Platform · Washington, USA

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.

Prerequisite Skills

Skills you should have before taking this course

Python APIs and Web Services Basic Machine Learning Concepts Basic Machine Learning Concepts

Skills Gained

Skills you will develop by completing this course

Prompt Engineering Generative AI Large Language Models Llama Stack Retrieval-Augmented Generation (RAG) AI Agents and Tools AI Safety and Monitoring AI Application Deployment and Scaling

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