Understanding AI – Free Beginner’s Mini Course

Explore the basics of artificial intelligence, including machine learning, deep learning, and natural language processing, through a free curriculum of ten lectures detailing how AI models learn and current trends.

Explore the world of artificial intelligence through a film clip introducing Hal 9000 as a central AI, its chess success, and NLP enabling human dialogue, while addressing long-standing AI debates.

Discover how artificial intelligence simulates human intelligence in machines, including learning, reasoning, perception, and language processing, and explore narrow AI, general AI, and super intelligent AI along with future possibilities.

Define artificial intelligence, machine learning, and deep learning, and explain core concepts like algorithms, models, training data, and inference, plus neural networks, nlp, and computer vision.

Understand how artificial intelligence, machine learning, and deep learning relate as broad, subset, and advanced concepts. See examples like spam filters, self-driving cars, and facial recognition, and note data differences.

Discover the foundations of artificial intelligence as a multi-disciplinary field and learn core principles—logic, probability, optimization, neural networks, and reinforcement learning—driven by data.

Explore how machines learn in practice by training on data with models, features, and optimization. Understand gradient descent, learning rate, and how data quality and feature selection shape model accuracy.

Deep learning, a subset of machine learning using multi-layer neural networks, processes large data and automatically extracts features, enabling applications from computer vision to chatbots and healthcare.

Explore natural language processing, a field of AI that enables machines to read, understand, and generate human language, powering chatbots, speech recognition, search, and translation.

Explore core NLP concepts and techniques, from input to output, including tokenization, lemmatization, stemming, pos tagging, named entity recognition, sentiment analysis, text classification, and machine translation.

Explore how AI drives automation, robotic process automation, and human–AI collaboration across manufacturing, logistics, retail, and creative industries, including healthcare, finance, and cybersecurity.