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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