LlamaIndex Develop LLM Powered Apps [UPDATE - 2026]

<div>Welcome to first <u><b>LlamaIndex Udemy course</b></u> - Unleashing the Power of LLM!</div><div><br></div><div>This comprehensive course is designed to teach you how to QUICKLY harness the power the LlamaIndex library for LLM applications.</div><div>This course will equip you with the skills and knowledge necessary to develop cutting-edge LLM solutions for a diverse range of topics.</div><div><br></div><div><span style="font-size: 1rem;">Please note&nbsp; that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python</span></div><div><br></div><div>In this course, you will embark on a journey from scratch to building a real-world LLM powered application using LlamaIndex.</div><div>We are going to do so by build the main application:</div><div><br></div><div>Documentation Helper- Create chatbot over a python package documentation. (and over any other data you would like)</div><div><br></div><div>The topics covered in this course include:</div><div><ul><li><span style="font-size: 1rem;">LlamaIndex</span></li><li><span style="font-size: 1rem;">Retrieval Augmentation Generation</span></li><li><span style="font-size: 1rem;">Vectorstores (Pinecone)</span></li><li><span style="font-size: 1rem;">Node Parers-&nbsp; TextSplitters</span></li><li><span style="font-size: 1rem;">QueryEngines, ChatEngines</span></li><li><span style="font-size: 1rem;">Streamlit (for UI)</span></li><li><span style="font-size: 1rem;">Agents, LLM Reasoning</span></li><li><span style="font-size: 1rem;">ReAct</span></li><li><span style="font-size: 1rem;">Output Parsers</span></li><li><span style="font-size: 1rem;">LLMs: Few shots prompting, Chain of Thought, ReAct prompting</span></li></ul></div><div><br></div><div>Throughout the course, you will work on hands-on exercises and real-world projects to reinforce your understanding of the concepts and techniques covered. By the end of the course, you will be proficient in using LlamaIndex to create powerful, efficient, and versatile LLM applications for a wide array of usages.</div><div><br></div><div><span style="font-size: 1rem;">This is not just a course, it's&nbsp; also&nbsp; a community. Along with lifetime access to the course, you'll get:</span></div><div><ul><li><span style="font-size: 1rem;">Dedicated 1 on 1 troubleshooting support with me</span></li><li><span style="font-size: 1rem;">Github links with additional AI resources, FAQ, troubleshooting guides</span></li><li><span style="font-size: 1rem;">Access to an exclusive Discord community to connect with other learners</span></li><li><span style="font-size: 1rem;">No extra cost for continuous updates and improvements to the course</span></li></ul></div><div><br></div><div>DISCLAIMERS</div><div><br></div><div><ul><li>Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python.</li><li>I will be using Pycharm/ VSCode IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts.</li></ul></div>

What you'll learn:

• Become proficient in LlamaIndex
• Have an end to end working LlamaIndex based generative AI application
• Prompt Engineering Theory: Chain of Thought, ReAct, Few Shot prompting and understand how LlamaIndex is built under the hood
• Understand how to navigate inside the LlamaIndex opensource codebase
• Large Language Models theory for software engineers
• Vectorestores/ Vector Databases (Pinecone, FAISS,)
• Retrieval Augmentation Generation (RAG)