Executive AI Track
Half-dayC-suite, board, senior leaders
Investment thesis, competitive benchmarking, and governance guardrails. Produces a signed pilot scorecard before participants leave the room.
Modules
- AI landscape & competitive positioning
- Portfolio prioritisation framework
- Risk, compliance & board communication
Practitioner Foundations
1–2 daysCross-functional practitioners
Prompting patterns, evaluation habits, and responsible use checkpoints. Works with any LLM stack — Claude, ChatGPT, Gemini, Copilot.
Modules
- Prompt engineering & regression mindset
- When not to trust confident outputs
- Documentation & escalation habits
AI Agents & Agentic Workflows
1–2 daysTechnical leads, product teams
MCP, tool-use patterns, multi-agent orchestration, and human-in-the-loop design. Labs build real workflow prototypes.
Modules
- Agent architecture & tool-use
- MCP & enterprise integrations
- Safety, evals & production readiness
Topic × Industry Track
CustomSector-specific teams
Topic-in-industry templates — e.g. generative AI in banking, AI agents for FMCG, responsible AI for healthcare. Same high-intent framing, fully tailored content.
Modules
- Industry context & regulatory framing
- Domain-specific use-case labs
- Governance checkpoints & pilot backlog
Data & ML Enablement
2–3 daysData science & engineering teams
RAG, vector search, fine-tuning, evals, and model selection. Technical depth with production deployment context.
Modules
- RAG architecture & retrieval patterns
- Fine-tuning vs. prompting decision tree
- Eval frameworks & production monitoring
Train-the-Trainer
1–2 daysInternal L&D, AI champions
Equip your internal facilitators with curriculum, labs, and rubrics to scale AI enablement without external dependency.
Modules
- Facilitation playbook & exercises
- Evaluation rubrics & spot-check templates
- 30-day adoption reinforcement plan