✨ GenAI • LLMs • Agents • ML • DS

GenAI Learning Hub & Dashboard

Use this index page as your central dashboard for the whole Generative AI module: overview, data science, machine learning, LLMs, prompting, agents and agentic AI. Every card below opens a dedicated teaching page.

🧠Concepts + Intuition
🧪Interactive teaching pages
🪄Designed for students
🔍
Core & overview Data science ML & models LLMs & agents

Dashboard

Start with the GenAI Overview, then follow the recommended pathway — or jump straight to any topic you want.

🗺️ GenAI Overview & Roadmap Start here

Big-picture map of the whole course: how generative AI, data science, ML, LLMs and agents fit together.
Core concept Visual roadmap
Level: everyone ↗ Open overview

✨ What is Generative AI?

Explore what makes an AI “generative”, from text and images to music and code, with everyday examples.
Foundations Use cases
Level: intro ↗ Open GenAI

📊 Data Science — Part 1

The role of data science in AI: data pipeline, exploration, simple statistics and why data quality matters.
Data pipeline Fundamentals
Level: foundation ↗ Open DS Part 1

📈 Data Science — Part 2

Go deeper into data cleaning, feature preparation, basic visualisation and how DS supports ML and GenAI.
Cleaning & features Bridge to ML
Level: foundation ↗ Open DS Part 2

🤖 Machine Learning Basics

Understand classic ML ideas: supervised vs unsupervised, training data, evaluation, and how ML connects to GenAI.
Core ML concepts Model mindset
Level: intro–intermediate ↗ Open ML

💬 Large Language Models (LLMs)

What an LLM really is: tokens, parameters, context windows and why models like ChatGPT can “reason”.
Transformers Capabilities & limits
Level: intermediate ↗ Open LLMs

🪄 Prompting & Cues

How to talk to LLMs effectively: structures, cues, examples, system prompts and simple chain-of-thought ideas.
Prompt patterns Practical tips
Level: hands-on ↗ Open Cues

🕹️ AI Agents

Move beyond one-off prompts: agents that plan, call tools, use memory, and complete multi-step tasks.
Tools & planning From chat to action
Level: intermediate ↗ Open AI Agents

🌐 Agentic AI & Autonomy

From simple agents to agentic systems: orchestration, autonomy, evaluation, and safety/oversight ideas.
Agentic patterns Risks & guardrails
Level: advanced concepts ↗ Open Agentic AI