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AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents

Become an LLM Engineer in 8 weeks: Build and deploy 8 LLM apps, mastering Generative AI, RAG, LoRA and AI Agents.
4.7 ★★★★★172,251 studentsCreated by Ed Donner, Ligency ​Last updated Dec 5, 2025🌐 English

What you'll learn

✓Project 1: Make AI-powered brochure generator that scrapes and navigates company websites intelligently.
✓Project 2: Build Multi-modal customer support agent for an airline with UI and function-calling.
✓Project 3: Develop Tool that creates meeting minutes and action items from audio using both open- and closed-source models.
✓Project 4: Make AI that converts Python code to optimized C++, boosting performance by 60,000x!
✓Project 5: Build AI knowledge-worker using RAG to become an expert on all company-related matters.
✓Project 6: Capstone Part A – Predict product prices from short descriptions using Frontier models.
✓Project 7: Capstone Part B – Execute Fine-tuned open-source model to compete with Frontier in price prediction.
✓Project 8: Capstone Part C – Build Autonomous multi agent system collaborating with models to spot deals and notify you of special bargains.
✓Compare and contrast the latest techniques for improving the performance of your LLM solution, such as RAG, fine-tuning and agentic workflows
✓Weigh up the leading 10 frontier and 10 open-source LLMs, and be able to select the best choice for a given task

Requirements

•Familiarity with Python. This course will not cover Python basics and is completed in Python.
•A PC with an internet connection is required. Either Mac (Linux) or Windows.
•We recommend that you allocate around $5 for API costs to work with frontier models. However, you can complete the course using open-source models if you prefer.

Description

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Student Feedback

4.7
★★★★★
Course Rating
75%
15%
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Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
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This course includes:
  • 📺 41h 30m on-demand video
  • 📱 Access on mobile and TV
  • ♾️ Full lifetime access
  • 🏆 Certificate of completion