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 7,772 students enrolledCreated by Prof. Ryan Ahmed, Stemplicity Inc.Last updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•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 · Mobile & TV compatible
•Certificate: Certificate of completion included
•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.
•Coupon: Click REDEEM COUPON below to apply discount

What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓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

Background knowledge or tools recommended before starting this course:

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

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Prof. Ryan Ahmed, Stemplicity Inc.. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Prof. Ryan Ahmed, Stemplicity Inc.
•Field: IT & Software
•Teaching Style: Practical, project-based learning (as described in course curriculum)

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

LLM Engineering, RAG, & AI Agents Masterclass [2026] is a it & software course offered on Udemy by instructor Prof. Ryan Ahmed, Stemplicity Inc., spanning 24h of on-demand content. It holds a 4.5/5 rating from over 7,772 enrolled students.

Through CourseSpeak, you can access this course with a 95% discount coupon. 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.

✓ Our Take: Based on the rating (4.5/5) and enrollment numbers (7,772 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of January 2026. For individual student reviews, visit the course page directly.

4.5
7,772 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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