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Data Science

Generative AI: Build LLMs & Diffusion Models

Understand and build the technology behind ChatGPT, Midjourney, and other generative AI systems.

4 ★★★★ (4 ratings)
9 lessons
44h
Intermediate level
Certificate included
Mobile accessible
Prof. David Osei Created by Prof. David Osei
Last Updated: August 15, 2026
Generative AI: Build LLMs & Diffusion Models
Preview this course

What You'll Learn

Foundations of Generative AI
Building Language Models
Building Diffusion Models

Requirements

  • No prior experience required — suitable for intermediate level learners
  • A computer or laptop with internet access
  • Willingness to learn and practise the concepts covered

Description

Go beyond using generative AI tools to understanding — and building — the models that power them.

Covers the theory and implementation of large language models and diffusion-based image generation.

You will train a small language model and a simple diffusion model from scratch as capstone projects.

Frequently Asked Questions

Is this course very mathematical?

Some linear algebra and probability is used, but explained intuitively throughout.

What will I build?

A small-scale language model and a basic image diffusion model.

3 Sections 9 Lessons 2h 33m total length
Foundations of Generative AI
3 lessons
What Makes AI "Generative"? 08:00 Preview
Language Model Basics 15:00
Diffusion Models Explained 16:00
Building Language Models
3 lessons
Tokenization & Embeddings Revisited 13:00
Training a Small LLM 24:00
Prompting & Fine-Tuning 15:00
Building Diffusion Models
3 lessons
Image Generation Fundamentals 15:00
Training a Diffusion Model 25:00
Capstone: Your Own Generative App 22:00

Your Instructor

Prof. David Osei
Prof. David Osei
Instructor at AI Training and Events
2 Courses david.osei@aitrainingandevents.com

Student Reviews

4
★★★★
Course Rating
5 ★
25%
4 ★
50%
3 ★
25%
2 ★
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Fatima Al-Rashid
Fatima Al-Rashid
August 2026
★★★★☆

Very well explained and paced nicely. A couple of sections felt slightly rushed but overall excellent value.

Ahmed Hassan
Ahmed Hassan
August 2026
★★★☆☆

Good introduction to the topic. Some prior knowledge would help you get more out of the advanced sections.

James Okonkwo
James Okonkwo
August 2026
★★★★☆

Very well explained and paced nicely. A couple of sections felt slightly rushed but overall excellent value.

Emily Johnson
Emily Johnson
August 2026
★★★★★

One of the best courses I've taken on this platform. Well structured, practical, and genuinely engaging.