LLM Engineering, RAG, & AI Agents Masterclass [2026] — 93% Off Coupon

Learn Hugging Face, LangGraph, CrewAI, AutoGen, N8N, RAG, MCP, & OpenAI Agents SDK + Expert Help & Access AI Community

⭐ 4.5 out of 5(16,942 students enrolled)Created by Prof. Ryan Ahmed, and Stemplicity Inc.Last updated: 🌐 English

Course Overview - Key Takeaways

The following summarizes all verified data points for this course, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CourseSpeak on .

•Course Title: LLM Engineering, RAG, & AI Agents Masterclass [2026]
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Prof. Ryan Ahmed, Stemplicity Inc.
•Coupon Verified On: July 20, 2026
•Difficulty Level: Advanced
•Category: IT & Software
•Subcategory: Large Language Models (LLM)
•Duration: 24h of on-demand video
•Language: English
•Access: Lifetime access to all course lectures and updates
•Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
•Top Learning Outcomes: 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.
•Prerequisites: You will need a laptop and an internet connection! · No programming experience required; basic Python skills are a plus.
•Price: $11.99 with coupon / Regular Udemy price: $169.99. Applying this coupon saves you $158.00 (93% OFF).
•Coupon: Click REDEEM COUPON below to apply discount
⚠️
Important:This coupon may not function properly in private/incognito browsing mode. Please use a standard browser window and consider temporarily disabling any ad blockers or VPN services for optimal performance.

What You'll Learn

This course gives you the following verified skills and competencies in IT & Software:

✓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. .
✓Master data validation & structured output generation using the Pydantic library, including BaseModel, type hints, & parsed output creation from OpenAI models. .
✓Build an AI-powered resume editor that analyzes gaps between a resume & job description & automatically tailors resumes/cover letters for targeted applications. .
✓Learn how to fine-tune pre-trained open-source LLMs using parameter-efficient methods like LoRA and tools such as Hugging Face’s TRL and SFTTrainer. .
✓Master dataset preparation and model evaluation techniques, including calculating accuracy, precision, recall, and F1-score using scikit-learn. .
✓Apply key components in Hugging Face Transformers library such as pipeline( ), AutoTokenizer( ), and AutoModelForCausalLM( ). .
✓Gain practical experience working with open-source datasets/models on Hugging Face, & apply quantization techniques like bitsandbytes to optimize Performance. .
✓Master advanced prompt engineering techniques such as zero-shot, few-shot, and chain-of-thought prompting. .
✓Deploy multi-model AI agents using AutoGen, integrating LLMs from OpenAI, Gemini, & Claude, enabling agent collaboration & human-in-the-loop oversight. .
✓Develop and deploy agentic AI workflows using LangGraph, mastering concepts like states, edges, conditional logic, and multi-stage nodes. .
✓Design & build AI-powered booking agents using LangGraph, enabling automated search & recommendation of flights & hotels through integration with external APIs. .
✓Build a data science agent team using CrewAI, creating specialized agents for workflow planning, data analysis, model building, and predictive analytics. .
✓Design and automate end-to-end Agentic AI workflows using n8n, integrating services like Gmail, Google Sheets, Google Calendar, and OpenAI. .
✓Build an advanced AI tutor system using Model-Context-Protocol (MCP) and OpenAI Agents SDK, enabling dynamic tool interoperability. .
✓Apply classical ML models (linear regression, random forest, XGBoost) within agent workflows, including dataset loading and inspection.

Course Requirements & Prerequisites

The following background knowledge and tools are recommended before starting this course. Students without these prerequisites may still enroll but should expect a steeper learning curve:

•You will need a laptop and an internet connection!
•No programming experience required; basic Python skills are a plus.

About This Udemy Course

The following is the full official course description as published on Udemy by instructors Prof. Ryan Ahmed, Stemplicity Inc.. It covers the curriculum structure, teaching methodology, and topic scope for this IT & Software course:

Complete Udemy Coupons Guide
Where to find coupons, how to redeem them, and how to avoid expired codes.
Read Guide ↗

Course Comparison

Compare features side by side to find the best course for your needs.

FeatureCURRENT
ProviderUdemyUdemy
Price
$11.99$169.99-93%
$10.99$199.99-95%
Rating
4.5(16.9k)
4.6(323.1k)
Duration24h41h 30m
CouponMT2607...AI_AUG...
View DealCompare

Is the LLM Engineering, RAG, & AI Agents Masterclass [2026] Coupon Worth It?

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeakUpdated Jul 20, 2026

The short answer is yes — provided the IT & Software skills this course teaches actually line up with what you want to build. The regular price for LLM Engineering, RAG, & AI Agents Masterclass [2026] on Udemy is $169.99. The coupon code listed on this page drops that 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 — less than the cost of a single chapter of most printed it & software textbooks.

A discount is only worth something if the material delivers, and the curriculum here is built around practical 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. — concrete skills you can apply, not abstract theory. It has already been taken by 16,942 students and holds a 4.5-star average from verified reviews, which is a reasonable sign the content holds up in practice.

The bar to entry is low: You will need a laptop and an internet connection!; No programming experience required; basic Python skills are a plus.. That makes it a realistic choice even if IT & Software is unfamiliar territory. In practical terms, expect around 24h of on-demand video to work through at your own pace. The material is presented in English.

Pros

  • ✓Verified 93% price reduction.
  • ✓High learner satisfaction (4.5/5).
  • ✓Trusted by 16,942 students.
  • ✓Certificate + lifetime access.

Cons

  • !The coupon is time-limited — once it expires, the price tends to revert toward the standard $169.99.
  • !Lifetime access is tied to Udemy staying online; the platform can change its policies.
  • !Budget for the exercises and quizzes too — they add real time on top of the 24h of video.
JS
Josh Smith
Lead Course Reviewer
Credentials →

"At roughly $0.50 an hour of video, LLM Engineering, RAG, & AI Agents Masterclass [2026] is priced sensibly for what it actually covers — understand the foundations of Large Language Models (LLMs) and Agentic AI, including how LLMs are trained, fine-tuned, and deployed. and beyond. If IT & Software is on your roadmap and you value the 4.5-star track record, this coupon is worth using while it's still valid."

✓
Final Verdict: Worth It
Saves you $158.00 against the standard Udemy price
New to redeeming coupons? Visit our step-by-step guide for detailed instructions on how to apply coupon codes.Coupon last verified July 20, 2026.At $11.99 you save $158.00 compared to the standard $169.99 price, and Udemy coupons are time-limited — redeem as soon as possible.

Course Rating Summary

This course holds an aggregate rating of 4.5 out of 5 based on 16,942 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.5
16,942 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. Last verified: July 20, 2026.

Instructor Profiles

Background information on Prof. Ryan Ahmed, Stemplicity Inc., the instructors responsible for this course on Udemy.

PR
Prof. Ryan Ahmed
Udemy Instructor
Full Profile ↗
Subject Area
IT & Software
Total Students
16,942+ enrolled
Rating
4.5 / 5.0
Course Duration
24h
Teaching Approach
Practical, project-based instruction built around real-world application of IT & Software skills, with hands-on exercises and quizzes to reinforce each section.
SI
Stemplicity Inc.
Udemy Instructor
Full Profile ↗
Subject Area
IT & Software
Total Students
16,942+ enrolled
Rating
4.5 / 5.0
Course Duration
24h
Teaching Approach
Practical, project-based instruction built around real-world application of IT & Software skills, with hands-on exercises and quizzes to reinforce each section.

Frequently Asked Questions

The following questions and answers cover the most common queries about this course, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of July 20, 2026.

About the Author

Josh Smith
Josh Smith
Udemy Coupon Specialist

8+ years finding and verifying the best Udemy deals. Helped thousands of students save on premium courses through curated coupon codes and exclusive discounts.

Similar Udemy courses in IT & Software with verified coupons: