AI Fundamentals is a comprehensive beginner-to-intermediate course designed to give learners a clear and practical understanding of Artificial Intelligence, how it works, and how it is applied in the real world. Through structured lessons, hands-on examples, and guided activities, learners will explore the core concepts behind AI, Machine Learning, Deep Learning, Data, Generative AI, and responsible AI practices.

The course requires no prior technical experience and is ideal for anyone who wants to understand AI from the ground up — whether for personal learning, professional development, or preparing for deeper AI or cloud certifications.

You will learn how modern AI systems like ChatGPT, image generators, and recommendation engines work, what data and models they rely on, and how organisations build, train, deploy, and govern AI systems responsibly.

By the end of the course, you will have a strong conceptual foundation in AI and the confidence to participate in AI-powered workplaces, evaluate AI tools, and continue into more advanced technical training.

This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.