Generative & agentic AI workshops
Students build and evaluate applications with large language models, prompt design, AI integrations and agent workflows in guided college workshops.
How the training works
Students demonstrate their applications and explain what they tested, where the model works and where it needs human review.
Format · College workshops or blended domain modules
In the integrated campus model, a 40-hour module combines four weeks of guided self-paced learning with a one-day workshop and evaluation. Standalone workshop scope is agreed separately.
What you’ll practise
- Large language models and practical use cases
- Prompt design and response evaluation
- AI integrations and agent workflows
- Application development and demonstrations
- Output verification, privacy and responsible use
- Project documentation and review
Build and test an AI application
Choose a problem the cohort can explore with the available tools and programming experience. Students design prompts or workflows, build a demonstration and test it with examples that reveal where it succeeds and fails.
Example of student work
A team builds a tool that answers questions from a set of documents. Its demo includes a question the documents answer and one they cannot answer, with an explanation of how the team checks the output.
Common questions
What do students make in an AI workshop?
Students build an AI application using prompts, model integrations or agent workflows. They demonstrate how it behaves, check its outputs and explain its limitations.
Is every AI workshop 40 hours?
The 40-hour module belongs to the proposed four-year college pathway and includes guided self-paced learning, a workshop and evaluation. We agree the scope of a standalone workshop with the college.
Check availability and scope
Share your requirements so we can confirm dates, participation terms and any fees.