AI Leader: Generative AI & Agentic AI for Leaders & Founders
★ 4.6 rated · $10.99
Become an LLM Engineer in 8 weeks: Build and deploy 8 LLM apps, mastering Generative AI, RAG, LoRA and AI Agents.
$9.99 with coupon (list $149.99 — save $140.00, 93% off)
Coupon Verified: October 7, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the Development skills on the syllabus match what you actually want to learn. The regular price for AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents on Udemy is $149.99. With the coupon code on this page, that falls to $9.99 — a saving of $140.00, or 93% off the standard rate Spread across 41h 30m of on-demand video, that works out to roughly $0.24 per hour of content — cheaper than a single chapter of most printed Development textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Ed Donner and Ligency walk you through 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, and project 3: Develop Tool that creates meeting minutes and action items from audio using both open- and closed-source models — skills meant to be used, not just watched. It has already been taken by 354,728 students and holds a 4.7-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: 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.. Best suited to learners who already have footing in Development. Plan for roughly 41h 30m of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents — taken from the official Udemy syllabus for Development learners.
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.
What you need before enrolling in AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents — prerequisites as listed by the instructor on Udemy.
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.
The full official description of AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on October 7, 2026.
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