AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents — 94% OFF Discount 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
241,162 students
Created by Ed Donner, Ligency ​
English
Updated May 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents before you enroll:

•Course Name: AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
•Platform: Udemy
•Instructor: Ed Donner, Ligency ​
•Coupon Last Verified: May 10, 2026
•Level: Advanced
•Topic: Development
•Subtopic: Large Language Models (LLM)
•Total Time: 41h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: 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.
•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.
•Current Price: $11.99 (was $199.99). You save $188.00 with 94% discount.
•How to Apply: Click the coupon button to activate your discount automatically
💡
Tip:For best results, apply the coupon in a regular browser window rather than incognito/private mode.

Skills You'll Master

By the end of AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents, you'll have these practical skills:

✓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.

What You Need Before Starting

Before enrolling in AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents, make sure you have:

•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 ​:

Mastering Generative AI and LLMs: An 8-Week Hands-On Journey

Accelerate your career in AI with practical, real-world projects led by industry veteran Ed Donner. Build advanced Generative AI products, experiment with over 20 groundbreaking models, and master state-of-the-art techniques like RAG, QLoRA, and Agents.

What you’ll learn
  • Build advanced Generative AI products using cutting-edge models and frameworks.
  • Experiment with over 20 groundbreaking AI models, including Frontier and Open-Source models.
  • Develop proficiency with platforms like HuggingFace, LangChain, and Gradio.
  • Implement state-of-the-art techniques such as RAG (Retrieval-Augmented Generation), QLoRA fine-tuning, and Agents.
  • Create real-world AI applications, including:
  • A multi-modal customer support assistant that interacts with text, sound, and images.
  • An AI knowledge worker that can answer any question about a company based on its shared drive.
  • An AI programmer that optimizes software, achieving performance improvements of over 60,000 times.
  • An ecommerce application that accurately predicts prices of unseen products.
  • Transition from inference to training, fine-tuning both Frontier and Open-Source models.
  • Deploy AI products to production with polished user interfaces and advanced capabilities.
  • Level up your AI and LLM engineering skills to be at the forefront of the industry.

About the Instructor

I’m Ed Donner, an entrepreneur and leader in AI and technology with over 20 years of experience. I’ve co-founded and sold my own AI startup, started a second one, and led teams in top-tier financial institutions and startups around the world. I’m passionate about bringing others into this exciting field and helping them become experts at the forefront of the industry.

Projects:
  • Project 1: AI-powered brochure generator that scrapes and navigates company websites intelligently.
  • Project 2: Multi-modal customer support agent for an airline with UI and function-calling.
  • Project 3: Tool that creates meeting minutes and action items from audio using both open- and closed-source models.
  • Project 4: AI that converts Python code to optimized C++, boosting performance by 60,000x!
  • Project 5: 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 – Fine-tuned open-source model to compete with Frontier in price prediction.
  • Project 8: Capstone Part C – Autonomous agent system collaborating with models to spot deals and notify you of special bargains.

Why This Course?
  • Hands-On Learning: The best way to learn is by doing. You’ll engage in practical exercises, building real-world AI applications that deliver stunning results.
  • Cutting-Edge Techniques: Stay ahead of the curve by learning the latest frameworks and techniques, including RAG, QLoRA, and Agents.
  • Accessible Content: Designed for learners at all levels. Step-by-step instructions, practical exercises, cheat sheets, and plenty of resources are provided.
  • No Advanced Math Required: The course focuses on practical application. No calculus or linear algebra is needed to master LLM engineering.

Course Structure
Week 1: Foundations and First Projects
  • Dive into the fundamentals of Transformers.
  • Experiment with six leading Frontier Models.
  • Build your first business Gen AI product that scrapes the web, makes decisions, and creates formatted sales brochures.
Week 2: Frontier APIs and Customer Service Chatbots
  • Explore Frontier APIs and interact with three leading models.
  • Develop a customer service chatbot with a sharp UI that can interact with text, images, audio, and utilize tools or agents.
Week 3: Embracing Open-Source Models
  • Discover the world of Open-Source models using HuggingFace.
  • Tackle 10 common Gen AI use cases, from translation to image generation.
  • Build a product to generate meeting minutes and action items from recordings.
Week 4: LLM Selection and Code Generation
  • Understand the differences between LLMs and how to select the best one for your business tasks.
  • Use LLMs to generate code and build a product that translates code from Python to C++, achieving performance improvements of over 60,000 times.
Week 5: Retrieval-Augmented Generation (RAG)
  • Master RAG to improve the accuracy of your solutions.
  • Become proficient with vector embeddings and explore vectors in popular open-source vector datastores.
  • Build a full business solution similar to real products on the market today.

Week 6: Transitioning to Training
  • Move from inference to training.
  • Fine-tune a Frontier model to solve a real business problem.
  • Build your own specialized model, marking a significant milestone in your AI journey.

Week 7: Advanced Training Techniques
  • Dive into advanced training techniques like QLoRA fine-tuning.
  • Train an open-source model to outperform Frontier models for specific tasks.
  • Tackle challenging projects that push your skills to the next level.

Week 8: Deployment and Finalization
  • Deploy your commercial product to production with a polished UI.
  • Enhance capabilities using Agents.
  • Deliver your first productionized, agentized, fine-tuned LLM model.
  • Celebrate your mastery of AI and LLM engineering, ready for a new phase in your career.

Compare Similar Courses

This section allows you to compare the current course with similar options to help you make an informed decision by evaluating prices, ratings, and key features side by side.

Compare prices and features to find the best deal for your learning needs

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

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 10, 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 94%, from $199.99 to $11.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 94% 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 241,162 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.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

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 241,162 student reviews on Udemy.

4.7
★★★★★
241,162 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.

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.

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.

About the Author

AD

Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

Explore More Resources

Discover related content and navigation options for Development:

More Development Courses You Might Like

Similar Udemy courses in Development with verified coupons: