Technical depth on LLMs, agents, RAG and governance, for people building or leading with AI.
Transformers, tokenisation, context windows, and how LLMs generate text.
Techniques from zero-shot to chain-of-thought, with evaluation frameworks.
Strategy, ROI, change management, and building the case for AI adoption.
APIs, orchestration, tool use, and multi-agent patterns in production.
Architecture, chunking, embeddings, vector stores, and evaluation.
Policy, model risk, auditing, bias mitigation, and regulatory frameworks.
Roadmaps, capability building, vendor evaluation, and organisational transformation.