AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
4.7(36,179) on Udemy·256K enrolled
Intermediate 33.5 hours English Course Certificate
Our recommendation
A hands-on Udemy course on modern AI engineering — building with large language models, retrieval-augmented generation (RAG), fine-tuning with QLoRA, and AI agents. It targets the practical skills behind today's AI applications, for developers who already know Python and some machine learning.
Good for: Python developers who want to build real LLM applications and agents.
Less suitable if: You are new to Python or machine learning, or you only want to use AI tools.
Skills you'll gain
LLM engineeringRAGFine-tuningQLoRAAI agentsPython
Is this course right for you?
A good fit if you…
You know Python and some ML
You want to build LLM apps
You like hands-on projects
Consider something else if you…
You are new to Python or ML
You only want to use AI tools
You want deep theory
Requirements: Python and some machine-learning basics; intermediate.
Realistic time: About 33 hours; a couple of months part-time.
About this course
AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents is an intensive, eight-week build-along bootcamp for becoming a hands-on LLM engineer. Across about 33.5 hours you ship eight real projects — from a web-scraping brochure generator and a multimodal support agent to a knowledge worker built on RAG, a fine-tuned open-source model (QLoRA), and an autonomous multi-agent deal-finder deployed serverless on Modal — while experimenting with 20+ frontier and open-source models.
What you'll learn
Build LLM apps with frontier and open-source models
Implement RAG with vector embeddings from scratch
Fine-tune open-source models with QLoRA
Design and run autonomous multi-agent systems
Deploy models serverlessly on Modal
Select and evaluate the right model for a task
This course includes
33.5h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
A paid Udemy course, usually on sale for around $12 to $20. Note that using some AI models and APIs may incur their own usage costs. Lifetime access and a refund window.
Comparison · LBS
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UDUdemy4.7(36,179)
AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
Udemy completion certificate — not accredited; the projects you build matter most.
Instructor
ED
Ed Donner
Udemy instructor
Taught by Ed Donner, an entrepreneur and AI leader with 20+ years of experience who has co-founded and sold an AI startup and led technology teams at major financial institutions.
About this provider
UD
Udemy
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