Introduction to Generative AI
How large language models work, what they are good and bad at, and how to use them responsibly at work. No programming required.
Training
Course catalogue
Short courses on specific topics, each built around exercises on working systems. For a full career programme, see the Data Scientist, AI Engineer and Generative AI pathways.
Advanced LLM Fine-tuning
When to fine-tune rather than prompt, how to prepare data, and how to train, evaluate and serve a fine-tuned model. For practitioners with Python and ML experience.
AI Cloud Solutions with AWS
Deploying machine learning and Generative AI workloads on AWS: the core services, a reference architecture, cost control and security basics.
Responsible AI & Ethics
Bias, fairness, explainability, privacy and the regulatory landscape, taught through cases from real deployments. Suitable for technical and non-technical staff.
Building AI Chatbots
Design and build a customer-facing assistant end to end: conversation design, grounding it in your own content, guardrails, testing and handover to a person.
RAG & Knowledge Systems
Build retrieval-augmented generation systems over your own documents: chunking, embeddings, vector search, evaluation and the failure modes to watch for.