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

Key Takeaways — Course Overview

The following summarizes all verified data points for LLM Engineering, RAG, & AI Agents Masterclass [2026], 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

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

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeak.Last updated: January 11, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, LLM Engineering, RAG, & AI Agents Masterclass [2026] is a high-value resource for learners seeking to build skills inIT & 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.

What We Like (Pros)

  • Verified 95% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.5 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 7,772 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in LLM Engineering, RAG, & AI Agents Masterclass [2026]:

  • The depth of IT & Software coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
JS
Josh Smith
Lead Course Reviewer, CourseSpeak
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"Given the 95% price reduction and verified 4.5-star rating, LLM Engineering, RAG, & AI Agents Masterclass [2026] represents one of the strongest value propositions currently available in IT & Software on Udemy. Enrollment is strongly recommended while this coupon remains active."

Final Verdict: Worth It
This course offers exceptional value with current pricing

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

The coupon was last verified on January 11, 2026.Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

Course Rating Summary

LLM Engineering, RAG, & AI Agents Masterclass [2026] 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

The following section provides background information on Prof. Ryan Ahmed, Stemplicity Inc., the instructor responsible for creating and maintaining LLM Engineering, RAG, & AI Agents Masterclass [2026] on Udemy.

LLM Engineering, RAG, & AI Agents Masterclass [2026] is taught by Prof. Ryan Ahmed, Stemplicity Inc., a Udemy instructor specializing in IT & Software. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

Instructor Name: Prof. Ryan Ahmed, Stemplicity Inc.
Subject Area: IT & Software
Teaching Approach: Practical, project-based instruction focused on real-world application of IT & Software skills (as described in the course curriculum on Udemy).

Frequently Asked Questions

The following questions and answers cover the most common queries about LLM Engineering, RAG, & AI Agents Masterclass [2026], 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 - Udemy Coupon Expert

Josh Smith

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