
Generative AI & AI Productivity
- Strong fit
- all streams. This is the one course in the library with universal relevance, and it is the natural first purchase for any cohort
- Career track
- AI-enabled professional
Artificial intelligence has stopped being a specialist subject. Employers now assume a graduate can use these tools competently, and increasingly they assume the graduate can tell when the output is wrong. These eight courses run from everyday working practice through to automation, agents and governance. They suit every stream, and they are the layer that strengthens every other topic on this site.



Every organisation now has people who can generate with AI. Very few have people who can tell whether the output is right. This course teaches the discipline of checking: how to evaluate AI output systematically, detect the answer that is nearly correct, build test sets, and establish review processes an employer can rely on. The scarcest AI skill in the market.

For students heading into business roles rather than technical ones. Learn where AI genuinely changes how work gets done inside a company — process automation, decision support, reporting, customer operations — how to scope an AI project so it does not fail, and how to tell a good use case from an expensive one.

Marketing changed faster than any other function when generative AI arrived, and most of the change is in the parts nobody sees — research, iteration, testing and analysis, not just copy generation. Learn the workflows agencies actually run, the brand and quality controls that keep AI content usable, and how search behaviour is shifting as answers replace links.

AI has changed the analyst's job at both ends — getting to a first answer faster, and needing to be far more careful that the answer is right. Learn to use AI across the analytics workflow, from cleaning and exploration to modelling and narrative, and to catch the errors that a confident-sounding analysis hides.

Build working software without writing much code. Learn the automation platforms that small and mid-sized companies actually run on, connect the systems a business already uses, and add AI where it earns its place. Ends with automations running against real accounts, which is unusually demonstrable evidence for an interview.

Agents are the current frontier and the current source of most disappointment. Learn what an agent actually is, how to give a model tools and boundaries, how to test one properly, and — the part most courses skip — how to recognise the many problems for which an agent is the wrong answer.

As AI moves into decisions that affect people, organisations need people who can think clearly about the consequences and translate that thinking into policy. Covers bias and fairness, privacy law including India's DPDP Act, transparency, the emerging regulatory landscape, and how to write governance that a working team will actually follow.
Enrolment is through our partner colleges. You will need the code your college issued.