Skip to content
Write a review
UdemySoftware DevelopmentPaid courseAll LevelsCertificate

Generative AI Bootcamp: LLM Engineering, RAG & AI Agents (Udemy.com)

LLM Engineering, RAG & Agents. Build Apps with Llama 3.2, OpenAI, QLoRA & Fine-Tuning. Become an Generative AI Engineer.

4.5
309 reviews

Created by: TechLynk Selenium

Last updated May 2026

Our take

Based on the ratings of 309 students, a sample of their written reviews and the syllabus, as the course stood in May 2026. No course pays to be reviewed.

TechLynk Selenium's bootcamp sells itself as an eight-project path from Python developer to LLM engineer, covering RAG, QLoRA fine-tuning, agents and deployment. The syllabus tells a different story. The first nine sections, about 11 hours, are the LLM material: local models, tokens, function calling and interface prototyping. Most of the remaining hours are Python basics, machine learning fundamentals, and ANN and RNN projects. It reads closer to a Python and NLP primer with an LLM front end than the production AI track the description promises.

Most of the 309 reviews are positive, and 180 of them are five stars. Reviewers like the hands-on practice and say it moves past basic prompting, though several of the glowing ones are short and read like generic summaries, so weigh them lightly. The low scores are sharper. One says the intro claims 40 hours but delivers about half, with the GenAI content missing. Another says the teaching sounds like it was repeated from an AI tool. A third found the opening note long and the tone off.

The course was last updated in May 2026, so it is current, and about 15,000 students have enrolled. Value depends on what is needed. Someone who wants Python, ML basics and a first look at LLM apps together gets plenty. A developer hoping for RAG, fine-tuning and agents in depth should check the curriculum closely first, because no section title names RAG or QLoRA. Fine as a broad starter, a gamble as the advanced engineering track it advertises.

Best forPython beginners who want LLM basics plus Python and NLP groundwork in one place.
Skip it ifYou want deep RAG, QLoRA or agent work; no section title mentions RAG or QLoRA.

Pros

  • Reviewers like the hands-on practice, with something to build for each concept
  • Runs from local models and tokens to function calling and multimodal apps
  • Bundles Python, ML and NLP groundwork so beginners need little beforehand
  • Updated in May 2026, and 180 of 309 reviews are five stars

Cons

  • Only about 11 hours is LLM material; the rest is Python, ML and RNN lessons
  • One reviewer says the promised 40 hours and GenAI content fall short
  • Low-star reviews question the instructor's depth and delivery tone
The 33.5 hours are pretty intense, but the hands-on practice with fine-tuning and building autonomous systems made everything click.
Margret Bryant, a student

Listed for all levels, but the description asks for Python basics; the bundled Python lessons help beginners.

icon
What you will learn

  • Build and Deploy 8 Production-Ready LLM Apps ranging from intelligent web scrapers to autonomous multi-agent systems.
  • Master Advanced RAG Architecture including Query Expansion, Semantic Re-ranking, and GraphRAG for enterprise-grade accuracy.
  • Fine-Tune Open Source Models using QLoRA and SFT to outperform frontier models like GPT-4o on specialized tasks.
  • Architect Autonomous AI Agents that can reason, plan, and use external tools to execute complex multi-step workflows.
  • Optimize LLM Performance by porting Python to C++ for up to a 60,000x speedup in execution.
  • Master the OpenAI & Llama 3.1 Stack using the latest 2026 API features, Tool Calling, and Structured Outputs.
  • Implement Serverless AI Deployment on Modal, allowing you to run heavy LLM workloads in the cloud with zero infrastructure overhead.
  • Evaluate AI Systems Like a Pro using "LLM-as-a-Judge" metrics, RAGAS, and custom evaluation benchmarks.
  • Bridge the Gap to AI Engineer by mastering Transformers, Tokenization, and Context Window management.
  • Create Voice-to-Action Tools using Whisper and Open-Source models to automate meeting minutes and corporate tasks.

Course content

24 sections · 128 lectures · 30 hours of video 9 quizzes, 7 coding exercises, 1 practice test, 4 articles

  1. 1Introduction & Course Roadmap: Your Journey to Generative AI Engineer 1 free preview3 lectures · 8 min
  2. 2LLM Foundations & Local Model Setup (From Zero to First LLM App) 1 free preview8 lectures · 1 quiz · 2.2 hours
  3. 3Clash of the Titans: Frontier Giants, Open Source Rebels & The Universal API7 lectures · 1.5 hours
  4. 4The Physics of LLMs: Transformers, Tokens & Context Architecture6 lectures · 1.2 hours
  5. 5Architecting AI Pipelines: Chaining, JSON, and Streaming4 lectures · 37 min
  6. 6The Frontier Arena: Multi-Model Architectures & Advanced Reasoning5 lectures · 1.4 hours
  7. 7The Interface Layer: Rapid Prototyping & AI User Experiences9 lectures · 2.1 hours
  8. 8Giving the AI Hands – Function Calling & Agentic Workflows6 lectures · 1.2 hours
  9. 9The Multimodal Capstone – Vision, Voice, & Generation3 lectures · 44 min
  10. 10Python Basic Fundamentals5 lectures · 2 quizzes · 1.1 hours

Who it is for

The instructor says it suits

  • Software Developers and Backend Engineers who want to transition into AI Engineer or LLM Engineer roles
  • Python developers looking to build production-ready Generative AI applications
  • Data Scientists and ML Engineers who want to master modern LLM engineering, RAG, and agentic AI
  • Engineers and technical professionals who want a deep, hands-on understanding of how LLM systems work
  • Startup founders and product builders building AI-powered products or platforms
  • Developers preparing for AI Engineer interviews or real-world AI system design roles

What you need before you start

  • Familiarity with Python programming language, including basic syntax, data structures, and functions.
  • Basic understanding of software development concepts
  • A computer with internet access (Windows, macOS, or Linux)
  • Willingness to learn and experiment (curiosity matters more than prior AI experience)

How it compares

Against the other 518 rated Udemy courses in Software Development on CourseDuck:

  • Rating4.5 out of 5higher than 41% of them
  • Reviews309#292 of 519 by number of reviews
  • Length30.3 hourslonger than 92% of them
  • Last updatedMay 2026more recently than 75% of them

icon
Course Description

Stop being an AI User. Start being an AI Engineer.

In 2026, the gap between those who "prompt" and those who "build" is widening. Companies aren’t looking for people who can talk to AI; they are hiring LLM Engineers who can architect, fine-tune, and deploy autonomous systems that solve multi-million dollar problems.

Welcome to the AI Engineer Bootcamp—the most comprehensive, project-driven track on Udemy. This isn’t a collection of theory slides. It is a 33.5-hour technical deep dive designed to take you from a Python developer to a specialized AI Architect in 8 weeks.

Why This Course is Different

While other courses stay at the surface level using basic APIs, we go under the hood. You will master QLoRA for efficient fine-tuning, build Agentic RAG pipelines that actually scale, and orchestrate Multi-Agent Systems that work autonomously.

The 8-Week / 8-Project Portfolio

You won't just learn; you will build. By the end of this course, you will have a professional GitHub portfolio featuring:

  1. Smart Scraper: An AI brochure generator that navigates websites intelligently.

  2. Multi-Modal Support Agent: A functional airline assistant with UI and tool-calling.

  3. Meeting Intelligence: Convert audio to action items using Whisper & Llama 3.2.

  4. The Performance Booster: An AI that optimizes Python code into C++ (60,000x speedup).

  5. Enterprise Knowledge Worker: A production-grade RAG system for company data.

  6. Capstone (Part A-C): Build a "Price Prediction" engine, fine-tune an Open Source model to beat GPT-4o, and deploy an autonomous Deal-Scanner Agent System.

What You Will Master

  • LLM Engineering: Understand Transformers, Tokenization, and Context Windows.

  • Advanced RAG: Move beyond simple embeddings to Query Expansion, Re-ranking, and GraphRAG.

  • Fine-Tuning (QLoRA): Learn to train Llama 3.2 on Google Colab GPUs to outperform frontier models.

  • Agentic AI: Orchestrate planning agents and multi-tool workflows (LangChain & CrewAI).

  • Deployment: Ship your apps to the cloud using Modal and Serverless AI architecture.

Who Is This For?

  • Software Engineers: Ready to pivot into the highest-paying role in tech.

  • Data Scientists: Who want to move from training models to building full AI products.

  • Tech Enthusiasts: Who have the Python basics and want to reach the "Frontier" of Generative AI.

The AI Revolution is here, and the "AI Engineer" is the most in-demand role of the decade. Are you ready to build the future?

Enroll now and start your 8-week journey to mastery.
Read More All Levels All Levels product length iconTime: 30.3h

icon
Udemy Discount

The discount is applied through our link. Open the course from here and Udemy's current promotional price is applied at checkout on most courses, no code to type.

Get the Udemy discount

Some courses are excluded from Udemy's promotions. If the price does not drop, clear your browser cookies and use the button again.

icon
Instructor Details

TechLynk Selenium

Sometimes, reaching out and taking someone's hand is the beginning of a journey. We often need someone to helps us take the first few steps before we get a master's in that move.


This is the vision we have behind all of our courses 'Step by Step'


1. Start from scratch

2. Break down the topic

3. Simplify things

4. Go step by step


Teaching is our passion and we design every course so you can start from scratch, knowing nothing about a topic and become an expert after the course and can work on enterprise projects.

Do not worry if you do not have any existing knowledge of the subject. We will go very basic, step by step.


Let's Get Started...

FutureTech9


********************************************************************

All courses under our banner comes with life-time support and you can ask me questions whenever you face any issues or just want to discuss anything with me or need my suggestions.

********************************************************************

Read More

icon
More courses by TechLynk Selenium

$18.99

$19.99

$94.99

$10.99

$10.99

$11.99

All courses by TechLynk Selenium

icon
More Software Development courses

$10.99

$109.99

$19.99

$19.99

$94.99

$94.99

All Software Development courses

icon
Reviews

4.5

309 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By Margret Bryant on 9/3/2026

I’ve been trying to move past basic prompting for a while, and this course actually bridged that gap for me. The 33.5 hours are pretty intense, but the hands-on practice with fine-tuning and building autonomous systems made everything click. It’s definitely a solid investment if you already know Python and want to build real AI tools instead of just writing prompts.

By Prisha on 8/28/2026

This course provides a practical approach to building generative AI applications with LLM engineering, retrieval-augmented generation, and AI agents. I learned how to work with language models, design RAG workflows, connect LLMs with relevant data, and understand how AI agents can be structured to handle tasks more effectively. The hands-on approach made it easier to see how these components work together when developing AI applications and how retrieval and agent-based capabilities can improve the usefulness of LLM solutions. The course strengthened my understanding of modern LLM application development and gave me more confidence in applying generative AI concepts to practical projects.

By German Gonzalez-Amado on 7/11/2026

The instructor evidently has no idea of the subject. He's just repeating whatever he got from an AI tool about this content. Overpromises and underdelivers. This is a scam

By Chinna Veerabhadra Rao on 1/29/2026

i have got a good knowledge about how deep learning models work and about tensorflow and keras and some knowledge on python language also

By Sep Dekker on 12/20/2025

Comprehensive and practical. I moved from basic Python knowledge to deploying sophisticated Transformer models. The sequence of NLP fundamentals followed by Generative AI implementation provided a clear, logical roadmap for mastering current industry standards.

By Tanuja Yanamadala on 12/20/2025

The course is very up-to-date with the latest advancements in AI, and I feel like I've gained valuable skills that will be useful for my career. From theory to application, this bootcamp covers everything you need to get started with Generative AI. Highly recommend it to anyone serious about learning AI!

By Valeria Möller on 12/11/2025

A fantastic, comprehensive program that perfectly balances theory with practical application. The in-depth coverage of NLP and Generative AI principles is crucial for building and deploying powerful, cutting-edge machine learning solutions.

By Madan Gupta on 3/25/2025

The best part is the hands-on projects, which helped me gain practical experience in AI-powered development. The lessons are well-structured, making it easy to follow along and apply the concepts immediately. If you want to build AI-driven applications and harness the full potential of ChatGPT and LangChain, this is the course for you!

By Ganesh Kakarla on 3/16/2025

For developers, data scientists, or technology leaders looking to harness the power of generative AI with Python, this book is simply indispensable. It strikes the perfect balance between accessibility and depth, making it valuable for both newcomers and experienced practitioners.

By Vikram Kurna on 3/15/2025

The Python code provided isn't just theoretical—it's production-ready. Every function is thoroughly explained, error handling is addressed, and optimization techniques are demonstrated. The instructor anticipates common pitfalls and shows you how to overcome them.

Showing all 10 reviews on CourseDuck

Read all 309 reviews on Udemy

icon
Quality Score

No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 90 / 100

Generative AI Bootcamp: LLM Engineering, RAG & AI Agents
Visit course on Udemy Write a review
  • Video Duration: icon 30.3h
  • Price: $59.99
  • Provider: icon Udemy
  • Updated: icon May 2026
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
  • Lectures:128 in 24 sections
  • Practice:9 quizzes, 7 coding exercises, 1 practice test
  • Students:15,100
30-day money-back guarantee on most paid courses

Udemy Coupon Price Tracker

Udemy price history

For any issues or feature requests please email CourseDuck's Co-Founder at mkuhlman12@gmail.com