AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
★ 4.7 rated · $9.99
Learn Hugging Face, LangGraph, CrewAI, AutoGen, N8N, RAG, MCP, & OpenAI Agents SDK + Expert Help & Access AI Community
$11.99 with coupon (list $169.99 — save $158.00, 93% off)
Coupon Verified: August 19, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the IT & Software skills on the syllabus match what you actually want to learn. The regular price for LLM Engineering, RAG, & AI Agents Masterclass [2026] on Udemy is $169.99. With the coupon code on this page, that falls to $11.99 — a saving of $158.00, or 93% off the standard rate Spread across 24h of on-demand video, that works out to roughly $0.50 per hour of content — cheaper than a single chapter of most printed IT & Software textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Prof. Ryan Ahmed and Stemplicity Inc. walk you through understand the foundations of Large Language Models (LLMs) and Agentic AI, including how LLMs are trained, fine-tuned, and deployed, create and deploy intelligent autonomous AI agents using cutting-edge frameworks like AutoGen, OpenAI Agents SDK, LangGraph, n8n, and MCP, and explore and benchmark open-source LLMs such as LLama, DeepSeek, Qwen, Phi, and Gemma using Hugging Face and LM Studio — skills meant to be used, not just watched. It has already been taken by 177,660 students and holds a 4.6-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: You will need a laptop and an internet connection!; No programming experience required; basic Python skills are a plus.. Best suited to learners who already have footing in IT & Software. Plan for roughly 24h of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from LLM Engineering, RAG, & AI Agents Masterclass [2026] — taken from the official Udemy syllabus for IT & Software learners.
Understand the foundations of Large Language Models (LLMs) and Agentic AI, including how LLMs are trained, fine-tuned, and deployed.
Create and deploy intelligent autonomous AI agents using cutting-edge frameworks like AutoGen, OpenAI Agents SDK, LangGraph, n8n, and MCP.
Explore and benchmark open-source LLMs such as LLama, DeepSeek, Qwen, Phi, and Gemma using Hugging Face and LM Studio.
Develop real-world applications using API access to OpenAI, Gemini, and Claude for text generation and vision tasks.
Apply a proven 5-step framework to select the right AI model for your business: maximizing cost-efficiency, minimizing latency, & accelerating time to market.
Evaluate LLMs using leaderboards like Vellum and Chat Arena, and conduct blind tests to objectively assess AI model performance.
Design Retrieval-Augmented Generation (RAG) pipelines using LangChain, OpenAI embeddings, & ChromaDB for efficient document retrieval & question answering.
Build an interactive, transparent AI-powered Q&A system with a Gradio interface that displays answers along with source citations for enhanced user trust.
What you need before enrolling in LLM Engineering, RAG, & AI Agents Masterclass [2026] — prerequisites as listed by the instructor on Udemy.
You will need a laptop and an internet connection!
No programming experience required; basic Python skills are a plus.
The full official description of LLM Engineering, RAG, & AI Agents Masterclass [2026] — 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 August 19, 2026.
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