Free study materials
Generative AI Library
Read through every module of our Generative AI course for free — no login, no payment. If you want the projects, the quiz, and a certificate at the end, the full course covers the same ground in more depth.
Downloadable notes
AI Growth Workshop — Complete Notes & Deep Study Guide
A full workshop write-up covering the Generative AI mindset, prompting techniques, the ICIV image/video workflow, AI avatars, and how to turn AI skills into income.
Download PDF · 0.5 MBAI360
A supplementary PDF resource on generative AI.
Download PDF · 27 MBGenAI Foundations — Week 3 Notes
A beginner-friendly slide deck: GenAI vs. traditional AI, foundational models, pre-training vs. fine-tuning, LLMs, tokenization, transformers, BERT, and free vs. paid no-code AI tools.
Download PDF · 15.6 MBRAG For Beginners
Why LLMs need help, what Retrieval-Augmented Generation is, how it reduces hallucinations using your own documents, and the retrieve-augment-generate architecture explained simply.
Download PDF · 0.6 MBTransformers & Vision Transformers — Lecture Notes
A more technical lecture deck on the Transformer architecture (encoder/decoder, self-attention, positional encoding), BERT and GPT, and how Vision Transformers (ViT, SWIN) apply the same ideas to images.
Download PDF · 9 MB10 free modules
Introduction to Artificial Intelligence
What AI is, a short history, and where generative AI fits among other kinds of AI systems.
Machine Learning and Deep Learning Basics
Supervised vs. unsupervised learning, neural networks, and why depth and data made modern AI possible.
Introduction to Generative AI
How generative models differ from predictive ones, and a tour of the major model families (GANs, diffusion, transformers).
Large Language Models (LLMs)
Tokenization, attention, and next-token prediction — how models like GPT and Llama actually generate text.
Prompt Engineering Techniques
Zero-shot vs. few-shot prompting, chain-of-thought, system prompts, and iterating on prompts systematically.
AI Text and Content Generation
Using LLMs for writing, summarising, translating, and editing — and where they tend to go wrong.
AI Image, Audio, and Video Generation
Diffusion models, text-to-image and text-to-video tools, and voice/audio generation basics.
Building AI Chatbots and Applications
Connecting a model to a simple interface: system prompts, context, memory, and API basics.
Responsible AI, Ethics, Privacy, and Limitations
Bias, hallucination, copyright, data privacy, and how to use generative AI tools responsibly.
Practical Projects and Final Assessment
Apply everything in a capstone project, then take the final quiz to unlock your certificate.
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Enroll in the full course for projects, a final quiz, and a certificate — or ask the tutor about anything above right now.