AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
★ 4.7 rated · $9.99
Build and train LLM NLP transformers and attention mechanisms (PyTorch). Explore with mechanistic interpretability tools
$9.99 with coupon (list $179.99 — save $170.00, 94% off)
Coupon Verified: October 1, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the Teaching & Academics skills on the syllabus match what you actually want to learn. The regular price for A deep understanding of AI large language model mechanisms on Udemy is $179.99. With the coupon code on this page, that falls to $9.99 — a saving of $170.00, or 94% off the standard rate Spread across 91h of on-demand video, that works out to roughly $0.11 per hour of content — cheaper than a single chapter of most printed Teaching & Academics textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Mike X Cohen walks you through large language model (LLM) architectures, including GPT (OpenAI) and BERT, transformer blocks, and attention algorithm — skills meant to be used, not just watched. It has already been taken by 21,220 students and holds a 4.8-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Motivation to learn about large language models and AI; Experience with coding is helpful but not necessary. Best suited to learners who already have footing in Teaching & Academics. Plan for roughly 91h of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from A deep understanding of AI large language model mechanisms — taken from the official Udemy syllabus for Teaching & Academics learners.
Large language model (LLM) architectures, including GPT (OpenAI) and BERT.
Transformer blocks.
Attention algorithm.
Pytorch.
LLM pretraining.
Explainable AI.
Mechanistic interpretability.
Machine learning.
What you need before enrolling in A deep understanding of AI large language model mechanisms — prerequisites as listed by the instructor on Udemy.
Motivation to learn about large language models and AI
Experience with coding is helpful but not necessary
Familiarity with machine learning is helpful but not necessary
Basic linear algebra is helpful
Deep learning, including gradient descent, is helpful but not necessary
The full official description of A deep understanding of AI large language model mechanisms — 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 1, 2026.
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