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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.

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Overview

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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

TAKEAWAY SKILLS

Generative AI

Large Language Models (LLMs)

Content

16 Lessons

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.

What Is Llama Stack?

Setting Up a Development Environment for Llama Stack

Your First Llama Stack Application

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.

Core Concepts of Llama Stack

Using the Inference API for Text Generation

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.

Introduction to Agents

Extending Capabilities with Tools

Setting Up a Knowledge Base with Llama Stack

Building an Agent with RAG for Q&A

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.

Implementing Safety Guardrails

Monitoring and Telemetry

Evaluating Your AI Application’s Performance

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.

Working with Different Providers and Models

Designing Agent Workflows with Llama Stack

Building a Chatbot with Llama Stack

Conclusion

1 Lessons

Summarize the key skills and concepts learned throughout the course and examine the generative AI applications built with Llama Stack.

Wrap Up

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by our in-house team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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Personalized Interview Prep

Skip the LeetCode grind with a custom roadmap that adapts to your goals. Hands-on practice for Coding Interviews, System Design, and more.

Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

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AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

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