
Explore the era of expert systems, where rule-based AI translated human expertise into logic rules for practical tasks, from handwriting recognition to medical diagnostics and chess.
Explore how AI acts as a catalyst and connector in an era of hyper innovation, amplifying foundation technologies, the Internet of Things, digital reality, life sciences, blockchain, and quantum computing.
Explore how AI and blockchain convergence creates secure records, detects fraud, and enables marketplaces for AI tools and resources. Understand how quantum computing and AI accelerate innovation in industries.
AI transforms healthcare by speeding diagnosis and imaging, accelerating drug discovery, enabling precision medicine, and expanding AI-powered health assistants, hospital operations, and robotics.
Explore how AI reshapes finance and banking—from AI assistants flagging suspicious transactions to automated lending, risk management, and investments—driven by tools like coin, machine learning, and robo-advisors.
Define your AI opportunities with the use case template, detailing ten elements to turn ideas into a scalable, fundable, execution-ready roadmap.
Explore how data fuels AI by cleaning, organizing, and contextualizing raw data, and how structured, unstructured, semi-structured, and multi-modal data from internal and external sources shape AI success.
Data quality drives AI outcomes; bad, biased, or incomplete data accelerates flawed decisions. Establish governance and ethical practices to keep data accurate, complete, timely, consistent, and relevant.
Understand that data has a shelf life and must be fresh; learn to monitor data health with observability, detect drift, and adapt AI systems for real-time accuracy.
Learn how to transform a business into a data-driven organization by building access, literacy, and trust so decisions are based on evidence across all teams.
Turn measurement into momentum by building scorecards and dashboards that align with strategy and tell a data-driven story, tailored to audiences and revealing value through visuals.
Explore practical, proven AI strategy in action across healthcare, energy, retail, and biotech, showing how organizations apply the AI strategy blueprint to deliver value at scale responsibly and sustainably.
Start with why and embed ai in business strategy to deliver value. Adopt the leadership checklist with use cases, data foundations, governance, people-centered design, responsible ai, and measure what matters.
AI Strategy is a comprehensive, executive-level course designed to help leaders, managers, and decision-makers understand, plan, and implement AI across their organizations.
We are living through a defining moment in the history of business and technology. AI is not simply another trend—it is a general-purpose technology, on par with electricity or the Internet, already reshaping every industry, every function, and every role.
Today’s organizations are operating within what can best be described as a hyper-innovation cycle, where AI converges with cloud computing, robotics, extended reality, biotechnology, and quantum computing. This convergence accelerates change across every sector of the global economy.
And the numbers speak for themselves:
$15.7 trillion — the estimated contribution of AI to the global economy by 2030
2× global economic growth — AI could double annual growth by 2035
40–60% of jobs in advanced economies are exposed to AI
But this isn’t just about disruption.
AI will augment human capabilities, unlock new roles, create new business models, and fundamentally change how value is created.
The question for every organization is no longer if to use AI, but how. Is your AI strategy effective, executable, and aligned with your priorities?
This course will help you answer that with clarity and confidence.
What You Will Learn
Using practical frameworks, real-world case studies, and step-by-step strategic guidance, you will learn how to:
Understand the evolution of AI—from early expert systems to today’s multimodal and agentic models
Navigate the era of hyper-innovation and the technologies accelerating it
Identify high-impact AI opportunities across products, services, and operations
Build a strong data foundation and transform into a data-driven organization
Translate AI strategy into execution through planning, governance, and change management
Measure results through effective KPIs, scorecards, and strategic storytelling
Learn from leading examples (Shell, IKEA, NHS, biotech innovators, and more)
Apply essential principles for successful AI design and deployment
By the end of the course, you will have a concrete blueprint for designing an AI strategy—and the practical knowledge to execute it in a way that delivers measurable, sustainable business value.
Ready to Lead Your Organization Into the AI-Driven Future?
Enrol now and become the leader who turns AI from a buzzword into a competitive advantage.
Start building an AI strategy that drives real business results—today.