LLM Engineering, RAG, & AI Agents Masterclass [2026] — 95% Off Coupon

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

⭐ 4.5 out of 5(7,772 students enrolled)Created by Prof. Ryan Ahmed, 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: January 11, 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: $9.99 with coupon / Regular Udemy price: $199.99. Applying this coupon saves you $190.00 (95% OFF).
•Coupon: Click REDEEM COUPON below to apply discount
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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 instructor Prof. Ryan Ahmed, Stemplicity Inc.. It covers the curriculum structure, teaching methodology, and topic scope for this IT & Software course:

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Course Comparison

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

FeatureCURRENT
ProviderUdemyUdemy
Price
$9.99$199.99-95%
$10.99$159.99-93%
Rating
4.5(7.8k)
4.5(14.5k)
Duration24h7h 30m
CouponCP2501...RAHULS...
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Is the LLM Engineering, RAG, & AI Agents Masterclass [2026] Coupon Worth It?

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeakUpdated Jan 11, 2026

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, this is a high-value resource for learners seeking to build skills in IT & Software. Taught by Prof. Ryan Ahmed, Stemplicity Inc. on Udemy, the 24h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 95%, from $199.99 to $9.99, removing the primary financial barrier to enrollment.

Pros

  • ✓Verified 95% price reduction.
  • ✓High learner satisfaction (4.5/5).
  • ✓Trusted by 7,772 students.
  • ✓Certificate + lifetime access.

Cons

  • !May be challenging for absolute beginners.
  • !Lifetime access depends on Udemy.
  • !Projects & quizzes need extra time.
JS
Josh Smith
Lead Course Reviewer
Credentials →

"Given the 95% price reduction and verified 4.5-star rating, LLM Engineering, RAG, & AI Agents Masterclass [2026] is a strong value in IT & Software on Udemy. Enrollment recommended while the coupon is active."

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Final Verdict: Worth It
Exceptional value with current pricing
New to redeeming coupons? Visit our step-by-step guide for detailed instructions on how to apply coupon codes.Coupon last verified January 11, 2026.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 7,772 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.5
7,772 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: January 11, 2026.

Instructor Profile

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

PR
Prof. Ryan Ahmed, Stemplicity Inc.
Udemy Instructor
Full Profile ↗
Subject Area
IT & Software
Total Students
7,772+ enrolled
Rating
4.5 / 5.0
Course Duration
24h
Teaching Approach
Practical, project-based instruction focused on real-world application of IT & Software skills. This course provides structured progression from foundational concepts to advanced techniques.

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 January 11, 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.

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