4.6
Beginner
1h
Updated 3 weeks ago
Mastering LlamaIndex: From Fundamentals to Building AI Apps
This course teaches how to use LlamaIndex to connect with large language models, build RAG systems, extract data, and create agentic and AI applications.
This course explores LlamaIndex’s core architecture and how it connects unstructured data to language models. You’ll learn how to connect LLMs to content sources like documents, APIs, and knowledge bases.
You’ll build and refine RAG systems, extract structured data, and feed results into downstream analytics or automation workflows. Finally, you’ll orchestrate AI agents and workflows, from single-agent assistants to complex multi-agent architectures with shared memory and state. You’ll add logging, tracing, and dashboards to your pipelines, then apply everything in hands-on projects like building a document Q&A system and lesson-plan generator.
After completing this course, you’ll gain the skills to design and build end-to-end AI solutions with LlamaIndex, including RAG, structured data extraction, and multi-agent workflows in any domain.
This course explores LlamaIndex’s core architecture and how it connects unstructured data to language models. You’ll learn how t...Show More
WHAT YOU'LL LEARN
An understanding of the core architecture and use cases of LlamaIndex
Working knowledge of how to integrate any LLM with LlamaIndex for enhanced query handling
The ability to design and implement a RAG pipeline for efficient information retrieval
Proficiency in extracting structured data from unstructured text using schema-based techniques
Hands-on experience building single-agent and multi-agent systems with memory and workflow coordination
Working knowledge of monitoring, tracing, and evaluating LLM-driven applications for performance and reliability
The ability to assemble end-to-end AI solutions (e.g., Q&A systems, job application optimizers, lesson-plan generators)
An understanding of the core architecture and use cases of LlamaIndex
Show more
Content
2.
Core Concepts and Using LLMs
2 Lessons
Understand the fundamentals of LlamaIndex, how it connects with LLMs, and how to use it for AI-powered applications.
5.
Agents and Workflows
4 Lessons
Leverage LlamaIndex to build AI agents and workflows that automate multi-step reasoning and decision-making.
6.
Monitoring and Evaluating LLM Applications
2 Lessons
Learn to trace, evaluate, and improve LLM applications for greater reliability and performance.
7.
Building Real-World Applications with LlamaIndex
3 Lessons
Build complete, real-world AI applications by combining multiple LlamaIndex concepts into cohesive, interactive systems.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Developed by MAANG Engineers
Trusted by 2.8 million developers working at companies
"These are high-quality courses. Trust me the price is worth it for the content quality. Educative came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"
Anthony Walker
@_webarchitect_
"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"
Evan Dunbar
ML Engineer
"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."
Software Developer
Carlos Matias La Borde
"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"
Souvik Kundu
Front-end Developer
"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."
Vinay Krishnaiah
Software Developer
Hands-on Learning Powered by AI
See how Educative uses AI to make your learning more immersive than ever before.
AI Prompt
Code Feedback
Explain with AI
AI Code Mentor
Free Resources
