Ai Ml · generic · beginner
Generative AI Fundamentals
Understand how large language models work and how to use them. From transformer architecture and prompting techniques through fine-tuning, RLHF, and responsible AI — ending with a hands-on document Q&A application. Based on DeepLearning.AI 'Generative AI with LLMs' (Coursera) and Google Cloud's Generative AI Learning Path.
- 8 hours
- 30 lessons
- 6 modules
- updated August 2026
try it
Try it before you sign up
Read a full lesson and answer 3 questions from the Module 1 quiz. No account needed.
free lesson · read · 15 min
What is Generative AI?
Generative AI refers to models that can produce new content — text, images, code, audio — given a prompt. Unlike discriminative models (which classify existing data), generative models learn the underlying distribution…
question 1 of 3 · from the Module 1 quiz
What is the key difference between a generative model and a discriminative model?
Pick an answer.
curriculum
6 modules, 30 lessons
The whole course is free.
- readWhat is Generative AI?15 min
- videoGenerative AI in 100 Seconds10 min
- readTransformer Architecture & Attention15 min
- hands-onLab: Explore an LLM API25 min
- quizQuiz: Generative AI Foundations10 min
how it's built
Built by the CloudaQube team
No celebrity instructor — here is exactly what goes into the course instead.
- 01 6 guided hands-on walkthroughs you run in a real environment.
- 02 6 module quizzes — every answer comes with an explanation.
- 03 Last updated August 2026.
- 04 Any module can become a hands-on lab in Labs Studio.
outcomes
What you'll be able to do
- 01 Explain how transformer architecture and attention mechanisms power LLMs
- 02 Apply zero-shot, few-shot, and chain-of-thought prompting techniques
- 03 Fine-tune a model using instruction tuning and PEFT/LoRA
- 04 Understand RLHF and how it aligns LLMs with human preferences
- 05 Apply responsible AI principles to generative AI systems
- 06 Deploy an LLM-powered application with retrieval-augmented generation
before you start
- — Basic Python programming
- — Familiarity with machine learning concepts helpful but not required
questions
Before you start
How long does it take?
About 8 hours of lessons, videos and hands-on walkthroughs across 6 modules.
What’s free?
The whole course is free — no card required.
get started