LLM Engineering: Master AI, Large Language Models & Agents

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

Created by Ed Donner, Ligency ​
Udemy 25h 30m 144,129 enrolled English4.7
DevelopmentLarge Language Models (LLM)

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.

About this course

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.

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.

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Is LLM Engineering: Master AI, Large Language Models & Agents Coupon Code Working?
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How long is the LLM Engineering: Master AI, Large Language Models & Agents course?
The LLM Engineering: Master AI, Large Language Models & Agents course is approximately 25.5 hours long with comprehensive content.
What will I learn in LLM Engineering: Master AI, Large Language Models & Agents classes?
Build and deploy 8 LLM apps, mastering Generative AI, RAG, LoRA and AI Agents.
How do I get this course?
Click the “Enroll Now” button on this page to access the course with our exclusive coupon code applied automatically.