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 out of 5(226,822 students enrolled)Created by Ed Donner, Ligency ​Last updated: 🌐 English

Key Takeaways — Course Overview

The following summarizes all verified data points for AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents, 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: April 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: $109.99. Applying this coupon saves you $99.00 (90% OFF).
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents 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 AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents. 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 for AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents 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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Compare Similar Courses

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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 CourseSpeak.•Last updated: April 7, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents is a high-value resource for learners seeking to build skills inDevelopment. 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 90%, from $109.99 to $10.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 90% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.7 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 226,822 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
JS
Josh Smith
Lead Course Reviewer, CourseSpeak
View credentials →

"Given the 90% price reduction and verified 4.7-star rating, AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents represents one of the strongest value propositions currently available in Development on Udemy. Enrollment is strongly recommended while this coupon remains active."

Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

The coupon was last verified on April 7, 2026.Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

Course Rating Summary

AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents Course holds an aggregate rating of 4.7 out of 5 based on 226,822 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.7
226,822 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: April 7, 2026.

Instructor Profile

The following section provides background information on Ed Donner, Ligency ​, the instructor responsible for creating and maintaining AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents on Udemy.

AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents is taught by Ed Donner, Ligency ​, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Ed Donner, Ligency ​
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills (as described in the course curriculum on Udemy).

Frequently Asked Questions

The following questions and answers cover the most common queries about AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of April 7, 2026.

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