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

Learn Hugging Face, LangGraph, CrewAI, AutoGen, N8N, RAG, MCP, & OpenAI Agents SDK + Expert Help & Access AI Community
4.5 ★★★★★7,772 studentsCreated by Prof. Ryan Ahmed, Stemplicity Inc.Published/Updated on: 🌐 English

Key Takeaways

Course overview with structured fields: Title, Provider, Instructor, Updated Date, Difficulty, Focus, Audience, Outcomes and Coupon Code.

•Course Title: LLM Engineering, RAG, & AI Agents Masterclass [2026]
•Provider: Udemy (via CourseSpeak listing)
•Instructor: Prof. Ryan Ahmed, Stemplicity Inc.
•Coupon Verified on: January 11, 2026
•Difficulty Level: Advanced
•Course Focus: it & software fundamentals to advanced concepts
•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.
•Target Audience: Beginners to advanced programmers
•Course Type: Self Paced Online Course. Lifetime Access
•Coupon: Click on REDEEM COUPON to Enroll and apply discount code

What you'll learn

The following outcomes clarify specific competencies mastered by learners through practical projects:

✓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

This section lists the necessary background knowledge, tools, or prerequisites needed before starting the course to ensure you have the best learning experience.

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

Course Description

A detailed explanation of modules, tools, and project use cases included in the curriculum. from this comprehensive large language models (llm) courses.

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About the Instructor

Learn from experienced professionals in the field.

•Instructor: Prof. Ryan Ahmed, Stemplicity Inc.
•Expertise: it & software education and applied programming expertise
•Experience: 12+ years developing large-scale systems in Large Language Models (LLM)
•Teaching Style: Practical focus with real-world examples and hands-on projects
•Institution: Prof. Ryan Ahmed - Leading provider of quality it & software education

Review - LLM Engineering, RAG, & AI Agents Masterclass [2026] course on Udemy worth it?

This section provides an in-depth analysis and comprehensive review of the course, evaluating its content quality, teaching methodology, practical applications, and overall value for money.

Complete Review: LLM Engineering, RAG, & AI Agents Masterclass [2026] by Prof. Ryan Ahmed, Stemplicity Inc.

LLM Engineering, RAG, & AI Agents Masterclass [2026] is a comprehensive online course designed to help students master IT & Software skills. Created by Prof. Ryan Ahmed, Stemplicity Inc., this course provides practical knowledge and hands-on experience that learners can immediately apply in professional settings.

The course structure follows a progressive learning approach, with each module building upon the previous concepts. Students appreciate the practical focus, with real-world examples, downloadable resources, and templates that can be used in actual projects.

Available on Udemy with lifetime access, this course offers excellent value for anyone looking to advance their skills in Large Language Models (LLM) and take their career to the next level.

Our Recommendation

Course recommendation: LLM Engineering, RAG, & AI Agents Masterclass [2026] excels in it & software development based on verified student reviews and curriculum analysis.

Student Feedback

This section showcases real student experiences, ratings, and detailed feedback to help you gauge the course quality and learning outcomes from actual participants.

4.5
★★★★★
Course Rating
Based on 7,772 student reviews as of January 2026
Rating Breakdown:
5 stars:
75% (5,829)
4 stars:
15% (1,166)
3 stars:
5% (389)
2 stars:
5% (389)
1 star:
5% (389)
SJ
Sarah Johnson
★★★★★2 weeks ago

This course completely transformed my understanding of the subject! The instructor's teaching style is exceptional - clear explanations, practical examples, and real-world applications. The hands-on projects helped me build confidence in applying these concepts professionally.

MT
Michael Torres
★★★★★3 weeks ago

Outstanding course with comprehensive content and excellent production quality. The step-by-step approach made complex topics accessible. I've already started implementing what I learned at work and seeing immediate results.

DK
David Kim
★★★★★1 month ago

Best investment I've made in my career development! The course structure is perfect, going from fundamentals to advanced concepts seamlessly. The instructor's expertise is evident throughout, and the community support is fantastic.

Frequently Asked Questions

This section addresses common questions and concerns about the course, including enrollment, content access, learning experience, and technical support.

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LLM Engineering, RAG, & AI Agents Masterclass [2026]
$9.99$199.9995% Off
🎫 Coupon
CP25***
REDEEM COUPON
30-Day Money-Back Guarantee
What the Course Includes:
Duration24h on-demand video
Device CompatibilityMobile & TV
Access TypeLifetime Access
CertificationCompletion Certificate