AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
Ed Donner's 8-week, project-based course: 8 LLM apps, from a website summarizer through a RAG knowledge worker and a fine-tuned open-source model to an autonomous multi-agent system. Requires Python.
Go to the course on Udemy- Provider
- Udemy (Ed Donner and Ligency)
- Price
- Paid
- Certificate
- Paid certificateUdemy gives a certificate of completion with the paid course.
- Level
- All levels
- Time
- 33h 21m of video
- Format
- On-demand video course with 8 projects (210 lectures)
- Checked
- 2026-11-05
Udemy list price varies; frequent sales. The course suggests about $5 for frontier-model API costs, or you can use open-source models.
01
What you will learn.
- 01LLM engineering
- 02OpenAI API
- 03Open-source models
- 04RAG
- 05QLoRA fine-tuning
- 06Multi-agent systems
- 07Gradio
02
Before you enroll.
From the course page, checked 2026-11-05.
- Who it is for
- Aspiring AI engineers, data scientists, and developers who want to build LLM apps.
- You need
- Familiarity with Python; the course does not cover Python basics
- A Mac, Linux, or Windows computer with an internet connection
- What you build
- An AI brochure generator that scrapes company websites
- A multimodal airline support agent with a UI and function calling
- A RAG knowledge worker that answers questions about a company
- A multi-agent system that spots deals and notifies you
03
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