Generative AI & prompting
Specify tasks, constraints and expected output. Compare results, examine errors and refine the instructions.
AI Builder for universities and colleges: practical learning around real problems.
Build on responsible AI literacy to design, test and improve AI-powered systems with people in control.
AI Builder connects generative AI concepts with practical software and workflow work. Learners move from asking a tool for an answer to designing a system that has a clear purpose, uses appropriate data and can be tested.
Choose a small problem: a question-answering helper for public club information, a draft organiser for fictional enquiries or a workflow that categorises sample requests for human review. Define what success looks like before choosing the model or interface.
Use synthetic or appropriately authorised data. A classroom prototype should not be connected to real financial, school or customer actions simply because a demo appears to work.
Specify tasks, constraints and expected output. Compare results, examine errors and refine the instructions.
Understand requests and responses, connect AI to an application and handle failures without exposing secrets.
Design bounded tasks and tools. Decide which actions need human approval and how a workflow should stop safely.
Connect steps into a workflow. Test realistic cases, consider privacy and costs, and plan monitoring before deployment.
A useful project includes an explanation of the problem, the information used, the decisions made and the limits of the result. Learners should show both a successful example and a case where the system fails or asks a person for help.
Software development with AI still needs readable code, testing, version control and careful handling of credentials. A generated implementation should be reviewed against actual requirements. Working with an agent also means controlling its permissions and evaluating its actions.
Read the skills progression before university. The pathway starts with literacy, fact checking and responsible research, then expands towards building applications.
Use the enquiry options below to express interest in the next AI Builder cohort or a university/college session. Include your institution, role and preferred contact. Cohort dates, prerequisites, delivery format and any fees need to be confirmed directly.
The enquiry is an expression of interest, not automatic registration or a reserved place. Institutions can also explore Nairobi workshop options and the wider AI Ready Schools pathway.
No. Use the contact options to enquire about the next cohort. BritaCore confirms availability, prerequisites and arrangements directly.
Coding is one part. Learners also need problem definition, data judgement, workflow design, evaluation and an understanding of when human review is necessary.
Tell us your school or institution name, your name, role, preferred phone or email, and the program you are interested in. County or location is optional. No long explanation is needed.
Choose AI Smart & Safe, AI Ready, AI for Educators, AI Builder or Not Sure Yet. BritaCore will discuss dates, suitability and arrangements with you.
Email opens your email app with a short enquiry template. If it does not open, write to info@britacore.com or use the details on our contact page. An enquiry does not reserve a session or cohort place.