● Public flagship course
AI Essentials for Beginners
A complete ten-lesson introduction for learners who want to use AI confidently, understand its foundations and make responsible decisions.
Understand
Explain AI, machine learning, neural networks and generative systems in plain language.
Use
Write better prompts, evaluate outputs and protect sensitive information.
Build judgement
Recognise limitations, verify claims and design responsible use cases.
Course outline
Ten lessons from foundations to project
Estimated completion time: 8–10 hours. No coding experience required.
What Is Artificial Intelligence?Define AI, distinguish automation from learning systems, and identify AI in everyday life.
Open lessonA Short History of AITrace major ideas from early computing to generative AI and understand why progress happens in waves.
Open lessonTypes and Capabilities of AICompare narrow AI, general AI, predictive systems and generative systems without hype.
Open lessonMachine Learning BasicsUnderstand examples, features, labels, training and evaluation.
Open lessonDeep Learning and Neural NetworksExplain layers, weights, pattern learning and the role of data and compute.
Open lessonGenerative AIUnderstand how systems generate text, images, audio and code and where verification is essential.
Open lessonPrompting WellUse context, task, constraints and evaluation criteria to communicate with AI clearly.
Open lessonReliability, Hallucinations and VerificationRecognise confident errors and apply a practical verification workflow.
Open lessonResponsible AIExamine privacy, bias, fairness, copyright, transparency and human oversight.
Open lessonFinal Project: AI Use Case CanvasDesign and evaluate a responsible AI use case for study, business or community impact.
Open lesson