AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents — 90% Off Coupon

Become an LLM Engineer in 8 weeks: Build and deploy 8 LLM apps, mastering Generative AI, RAG, LoRA and AI Agents.

4.7 200,256 students enrolledCreated by Ed Donner, Ligency ​Last updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Ed Donner, Ligency ​
•Coupon Verified On: February 9, 2026
•Difficulty Level: Advanced
•Category: Development
•Subcategory: Large Language Models (LLM)
•Duration: 41h 30m of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: 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.
•Prerequisites: 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.
•Coupon: Click REDEEM COUPON below to apply discount

What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓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.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•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.

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Ed Donner, Ligency ​. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Ed Donner, Ligency ​
•Field: Development
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents Coupon Worth It?

AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents is a development course offered on Udemy by instructor Ed Donner, Ligency ​, spanning 41h 30m of on-demand content. It holds a 4.7/5 rating from over 200,256 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on February 9, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

✓ Our Take: Based on the rating (4.7/5) and enrollment numbers (200,256 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of February 2026. For individual student reviews, visit the course page directly.

4.7
200,256 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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