Log InLog InThree modules · 3 tutorials · no code, no maths, no prior AI experience
Master AI concepts, collaborate with data science teams, spot bias, measure ROI and identify AI opportunities — all without writing a single line of code. Designed for managers, team leaders, analysts, consultants and anyone whose work is being transformed by AI.
Drawing on the research of Demis Hassabis in applying AI to real-world problems
Machine learning, deep learning and generative AI in plain language · recommendation systems, classification, forecasting · data quality and governance · AI across marketing, sales, operations, HR and customer service · your role as a domain expert.
Open module →Drawing on the research and responsible AI advocacy of Yoshua Bengio
Value-feasibility-risk framework for AI use cases · strong vs weak use cases · writing problem statements · questions to ask data scientists · AI risks (bias, privacy, security) · transparency and human-in-the-loop · responsible AI principles.
Open module →Drawing on the foundational research of Geoffrey Hinton
Large language models in simple terms · practical business uses (drafting, summarising, copilots) · strengths and limitations (hallucination, outdated info) · business KPIs vs technical metrics · communicating AI impact to stakeholders · the future of your role.
Open module →