Get LLM Engineering, RAG, & AI Agents Masterclass [2026] with 95% OFF Udemy Coupon
Learn Hugging Face, LangGraph, CrewAI, AutoGen, N8N, RAG, MCP, & OpenAI Agents SDK + Expert Help & Access AI Community.
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 CoursesWyn on .
Course Title: LLM Engineering, RAG, & AI Agents Masterclass [2026]
Platform: Udemy (listed via CoursesWyn)
Instructor: Prof. Ryan Ahmed, Stemplicity Inc.
Coupon Verified:
Difficulty Level: All Levels
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: Students who complete LLM Engineering, RAG, & AI Agents Masterclass [2026] will be able to: 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!
Price: $9.99 with coupon / Regular Udemy price: $199.99. Applying this coupon saves you $190.00 (95% OFF).
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What You'll Learn
Completing 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.
Requirements
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 This Course Worth It?
Expert review by Andrew Derek, Lead Course Reviewer at CoursesWyn. Last updated: .
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 in IT & Software. Taught by Prof. Ryan Ahmed, Stemplicity Inc. on Udemy, the 24h course provides a structured progression from foundational concepts to advanced Large Language Models (LLM) 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)
The following advantages were identified:
- Verified 95% price reduction makes this course accessible on any budget.
- Aggregate student rating of 4.5 out of 5 indicates high satisfaction.
- Includes an official Udemy completion certificate and lifetime access.
Keep in Mind (Cons)
The following limitations should be considered:
- The depth of Large Language Models (LLM) coverage may be challenging for newcomers.
- Lifetime access is contingent on the Udemy platform's operation.
- Hands-on projects require additional time beyond video watch time.
"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. Enrollment is recommended while this coupon remains active."
Course Rating Summary
LLM Engineering, RAG, & AI Agents Masterclass [2026] 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
* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: .
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.
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Instructor Name: Prof. Ryan Ahmed, Stemplicity Inc.
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Subject Area: IT & Software
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Teaching Approach: Practical, project-based instruction focused on real-world application of Large Language Models (LLM) skills.
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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 .
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Andrew Derek
Expert ReviewerAndrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.
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