Introduction to AI, Machine Learning & Large Language Models

What Is Artificial Intelligence?

Understand the definition of AI, its history from the Turing Test to modern LLMs, and how AI differs from machine learning and deep learning.

How Machines Learn

Explore supervised, unsupervised, and reinforcement learning — and why data quality determines AI quality.

Deep Learning & Neural Networks

How neural networks are structured, how they learn through backpropagation, and how CNNs, RNNs, and Transformers differ.

The Transformer Revolution & How LLMs Work

How attention mechanisms, tokenization, pretraining, fine-tuning, and RLHF combine to create the large language models powering modern AI.

Prompt Engineering

Master the core techniques for communicating effectively with AI — from zero-shot prompting to chain-of-thought reasoning and system prompts.

Ethics, Bias & Responsible AI

Explore how bias enters AI systems, what responsible AI principles look like in practice, and the key governance frameworks shaping the industry.

Your First AI Conversation

A hands-on guide to having your first conversation with an AI chatbot. Learn how to craft effective prompts, compare responses across tools, and start using AI in your daily work.