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Retrieval and RAG

Develop LLM Applications with LlamaIndex

Use LlamaIndex and Python to build a language-model application and explore retrieval and ReAct agents.

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Course topics

Retrieval and RAG

  • LlamaIndex basics
  • Documentation assistant
  • ReAct agents

You check the sources

Find your fit

Is this a useful starting point?

For software developers familiar with Python, Git, environment variables, testing and debugging.

Starting point
Intermediate
Course length
6.5 total hours
Lessons
61 lectures

Course by Eden Marco, Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor

Course last updated: 03/2026

Requirements
  • This is not a beginner course. Basic software engineering concepts are needed
  • I assume students will be familiar software engineering subjects such as: git, python, pipenv, environment variables, classes, testing and debugging
  • No Machine Learning experience is needed.
What is included
  • 6.5 hours on-demand video
  • 2 articles
  • 19 downloadable resources
  • Access on mobile
  • Certificate of completion

DoJo membership: A$250 per month per seat, excluding GST. Includes fortnightly group support and a private member community.

Explore the lessons

Course curriculum.

11 sections • 61 lectures • 6h 22m total length

Introduction4 lectures • 14min
  1. Introduction01:16
  2. What to Expect and Course Prerequisites01:34
  3. What is Llamaindex08:57
  4. Course Community01:51
THE GIST of LlamaIndex Get started with your "hello world" LlamaIndex Script4 lectures • 16min

Lecture details are available inside DoJo.

Documentation helper29 lectures • 3hr 41min

Lecture details are available inside DoJo.

LlamaIndex Implementation- Under the hood and internals2 lectures • 11min

Lecture details are available inside DoJo.

LlamaIndex ReAct Agents6 lectures • 47min

Lecture details are available inside DoJo.

Prompt Engineering Thoery7 lectures • 43min

Lecture details are available inside DoJo.

Troubleshooting Section2 lectures • 6min

Lecture details are available inside DoJo.

Wrapping Up2 lectures • 10min

Lecture details are available inside DoJo.

Useful tools when developing LLM Applications3 lectures • 11min

Lecture details are available inside DoJo.

LangChain1 lecture • 3min

Lecture details are available inside DoJo.

Bonus1 lecture • 1min

Lecture details are available inside DoJo.

From learning to practice

Try this next.

Use the documentation-assistant example to examine retrieval and source support for an answer.

A useful next step

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