AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents — 95% 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 out of 5(305,538 students enrolled)Created by Ed Donner, Ligency ​Last updated: 🌐 English

Course Overview - Key Takeaways

The following summarizes all verified data points for this course, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CourseSpeak on .

Course Title: AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
Provider: Udemy (listed via CourseSpeak)
Instructor: Ed Donner, Ligency ​
Coupon Verified On: July 7, 2026
Difficulty Level: Advanced
Category: Development
Subcategory: Large Language Models (LLM)
Duration: 41h 30m of on-demand video
Language: English
Access: Lifetime access to all course lectures and updates
Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
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.
Price: $10.99 with coupon / Regular Udemy price: $199.99. Applying this coupon saves you $189.00 (95% OFF).
Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

This course gives you the following verified skills and competencies in Development:

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

The following background knowledge and tools are recommended before starting this course. Students without these prerequisites may still enroll but should expect a steeper learning curve:

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

The following is the full official course description as published on Udemy by instructor Ed Donner, Ligency ​. It covers the curriculum structure, teaching methodology, and topic scope for this Development course:

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Course Comparison

Compare features side by side to find the best course for your needs.

FeatureCURRENT
ProviderUdemyUdemy
Price
$10.99$199.99-95%
$10.99$159.99-93%
Rating
4.7(305.5k)
4.5(14.5k)
Duration41h 30m7h 30m
CouponAI_JUL...RAHULS...
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Is the AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents Coupon Worth It?

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeakUpdated Jul 7, 2026

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, this is a high-value resource for learners seeking to build skills in Development. Taught by Ed Donner, Ligency ​ on Udemy, the 41h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 95%, from $199.99 to $10.99, removing the primary financial barrier to enrollment.

Pros

  • Verified 95% price reduction.
  • High learner satisfaction (4.7/5).
  • Trusted by 305,538 students.
  • Certificate + lifetime access.

Cons

  • !May be challenging for absolute beginners.
  • !Lifetime access depends on Udemy.
  • !Projects & quizzes need extra time.
JS
Josh Smith
Lead Course Reviewer
Credentials →

"Given the 95% price reduction and verified 4.7-star rating, AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents is a strong value in Development on Udemy. Enrollment recommended while the coupon is active."

Final Verdict: Worth It
Exceptional value with current pricing
New to redeeming coupons? Visit our step-by-step guide for detailed instructions on how to apply coupon codes.Coupon last verified July 7, 2026.Udemy coupons are time-limited — redeem as soon as possible.

Course Rating Summary

This course holds an aggregate rating of 4.7 out of 5 based on 305,538 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.7
305,538 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: July 7, 2026.

Instructor Profile

Background information on Ed Donner, Ligency ​, the instructor responsible for this course on Udemy.

ED
Ed Donner, Ligency ​
Udemy Instructor
Full Profile ↗
Subject Area
Development
Total Students
305,538+ enrolled
Rating
4.7 / 5.0
Course Duration
41h 30m
Teaching Approach
Practical, project-based instruction focused on real-world application of Development skills. This course provides structured progression from foundational concepts to advanced techniques.

Frequently Asked Questions

The following questions and answers cover the most common queries about this course, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of July 7, 2026.

About the Author

Josh Smith
Josh Smith
Udemy Coupon Specialist

8+ years finding and verifying the best Udemy deals. Helped thousands of students save on premium courses through curated coupon codes and exclusive discounts.

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