Course 1: AI-Driven Digital Transformation Playbook

Rather than focusing on abstract strategy or technical depth, this playbook is designed as an execution guide. Participants will learn how to identify where AI creates real value in their daily work, prioritise viable use cases, assess readiness across people, process and platforms, and apply AI responsibly to improve speed, quality, and consistency of outcomes. The emphasis is on what to use, how to use it, and how to embed AI into everyday operating rhythms

Course 2: Design think for AI-driven Organisations

Designed for implementors, individual contributors, team leads, and managers, this course focuses on how to systematically design AI into the organisation, rather than using AI in a fragmented or reactive manner. This course introduces an evergreen design‑thinking approach to embedding AI across business teams in a way that delivers sustained impact, productivity gains, smarter decisions, and new growth opportunities.

Course 3: Balancing Innovation, Risk & Responsible AI

This programme breaks down a complex topic into clear, practical steps participants can apply immediately. Leaders learn how to deploy AI securely in day‑to‑day work, manage AI risks, respond effectively to incidents, and guide teams through human‑centred change. The emphasis is firmly on execution—making AI safe, usable, and scalable—through a guided framework that builds confidence, supports responsible governance, and drives sustainable AI advantage.

The collective has 3 parts of to master the practical, end‑to‑end AI execution:

Course 1: AI-Driven Digital Transformation Playbook >> 19th May 2026 (Tue) 9am-1pm, 2pm-6pm
1.1 Market shifts and AI trends: How AI is reshaping value chains
1.2 AI prioritization and business implications: The line between disruption & competitive advantage
1.3 High-impact AI opportunities: Hype vs viable use cases
1.4 AI maturity & readiness assessment: 3P’s People, process & platform
1.5 AI implementation & scaling: Strategies for successful AI integration
1.6 Available support programs, AI grants

Course 2: Design think for AI-driven Organisations >> 28^th May 2026 (Thu) 9am-1pm, 2pm-6pm
2.1 From digital to AI-driven strategy: AI-driven transformation explained
2.2 AI goals mapping: Avoiding AI for AI’s sake
2.3 AI business model redesign: Learnings from AI-driven reinvention successes
2.4 AI across the value chain: An integrated enterprise AI approach
2.5 Human-in-the-loop: Balancing machine learning and human judgement
2.6 AI-driven applications across business units: Finance, Sales, Marketing & HR

Course 3: Balancing Innovation, Risk & Responsible AI >> 2^nd June 2026 (Tue) 9am-1pm, 2pm-6pm
3.1 Secure AI adoption in daily usage: Best practices for AI deployment
3.2 The innovation & risk paradox: Case studies & key learnings from AI success and failures
3.3 AI risk assessment: Aligning AI governance & oversight with business strategy
3.4 Disaster recovery vs incident response vs business continuity planning: Business resilience amid AI disruptions
3.5 AI-driven cybersecurity: Proactive risk management – the way forward
3.6 Change management: Human-centered adoption that fuels smart innovation

Enrol as a Collective and Receive Complimentary Bonuses
✔ Phishing exercise
✔ Cyber, data & AI risk training webinar for employees

So that you achieve:

✔ End‑to‑end AI capability — not siloed training

✔ Stronger outcomes than single‑course attendance

✔ Better alignment between innovation and governance

Managers, senior executives, and professionals responsible for implementing AI in daily work