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Catalog / All levels / Llama Stack Essentials – The Foundation for Smarter AI Apps
Mammoth Club All levels 10 sections 31 lectures

Llama Stack Essentials – The Foundation for Smarter AI Apps

JB
Created by John Bura
·
31 lectures
01
Skill level
All levels
02
Sections
10
03
Lectures
31
04
Instructor
John Bura
What's inside

This course includes.

✓
10
Sections
✓
Certificate of completion
Included
✓
Mobile and desktop access
Included
✓
AI learning assistance
Included
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Course content

Curriculum & lectures.

10 sections · 31 lectures
+ Section 1: What Is Llama Stack? 2 lectures Preview
Lecture 1.01 – Introduction to Llama Stack Locked
Lecture 1.02 – Llama Stack vs. ChatGPT Locked
+ Section 2: LLMs vs. Llama Stack – Why Raw LLMs Aren’t Enough 2 lectures
Lecture 2.01 – Limitations of Standalone LLMs Locked
Lecture 2.02 – Extending LLMs with Memory, Tools, and Retrieval Locked
+ Section 3: Installing Llama Stack 2 lectures
Lecture 3.01 – Installation and Setup Basics Locked
Lecture 3.02 – Running Llama Stack (Locally or in the Cloud) Locked
+ Section 4: Your First Inference Call 3 lectures
Lecture 4.01 – Starting the Llama Stack Service Locked
Lecture 4.02: Setting Up the Client and Sending Your First Prompt Locked
Lecture 4.03: Understanding the Inference Call and Its Parameters Locked
+ Section 5: Adding Memory 3 lectures
Lecture 5.01 – Why Memory Matters (Conversation Context) Locked
Lecture 5.02: Understanding Memory Banks and Retrieval in Llama Stack Locked
Lecture 5.03: Implementing Memory Workflows with the Memory API Locked
+ Section 6: Calling Tools 4 lectures
Lecture 6.01: What Are Tools and Why Do They Matter? Locked
Lecture 6.02: Built-in Tools and Agentic Reasoning Locked
Lecture 6.03: Creating Custom Tools for Your AI Locked
Lecture 6.04: Executing Tools in Conversations with the Agentic API Locked
+ Section 7: Retrieval-Augmented Generation (RAG) 3 lectures
Lecture 7.01: What is RAG and Why It Matters Locked
Lecture 7.02: The RAG Pipeline — Ingestion and Retrieval Explained Locked
Lecture 7.03: Building RAG with Llama Stack Locked
+ Section 8: Plug-and-Play with Any Model 3 lectures
Lecture 8.01 – Model Agnosticism in Llama Stack Locked
Lecture 8.02: Configuring Providers and Switching Between Models Locked
Lecture 8.03: Advanced Scenarios: Plugins, Scaling, and Edge Use Locked
+ Section 9: Building Smarter Workflows 3 lectures
Lecture 9.01: Orchestrating Inference, Memory, Tools, and Retrieval Locked
Lecture 9.02: Designing a Smart Assistant with Llama Stack Locked
Lecture 9.03: Configuring and Scaling Your AI App with Llama Stack Locked
+ Section 10: Llama Stack + LlamaIndex, LangChain, and Ollama 6 lectures
Lecture 10.01: LlamaIndex (Connecting LLMs to External Data) Locked
Lecture 10.02: Integrating LlamaIndex with Llama Stack for Retrieval-Augmented Generation Locked
Lecture 10.03: LangChain (Orchestrating LLM Workflows) Locked
Lecture 10.04: Implementing LangChain Pipelines with Llama Stack as a Custom LLM Backend Locked
Lecture 10.05: Ollama (Running LLMs Locally) Locked
Lecture 10.06: Integrating Ollama as the Backend Model for Llama Stack Locked
Description

About this course.

Unlock the potential of modern AI development with Llama Stack Essentials, a comprehensive crash course designed for developers ready to build intelligent, self-hosted applications. This first-time exclusive in the Humble Bundle lineup introduces you to the core technologies behind the Llama Stack – including LLMs, vector databases, embedding models, and retrieval-augmented generation (RAG). Whether you're a curious beginner or an experienced coder looking to future-proof your skills, you'll learn how to integrate cutting-edge tools like LlamaIndex, LangChain, and Ollama into real-world projects. Perfect for open-source enthusiasts and privacy-first developers, this course empowers you to create responsive AI apps without relying on closed platforms. Lifetime access and source files included.

Instructors

Taught by people who ship.

JB

John Bura

Instructor

Founder and CEO of Mammoth Club and CoursePro, the #1 AI Learning Management System for developing online courses and content. Over 14 years, Mammoth Club has sold 9 million courses in 190+ countries, releasing over 1,000 courses and 5,000 hours of video.

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