AI Strategy for Business Professionals

Courses Syllabus

Format: In-person training with case studies, group discussions, and hands-on strategy workshops

Course Introduction

This intensive 5-day course equips senior leaders with the strategic knowledge to drive AI transformation across their organisations. Designed for C-suite executives, strategy heads, and digital innovators, the programme covers AI fundamentals, business integration, ethical governance, and future trends.

Participants will explore real-world case studies, engage in hands-on workshops, and develop a customised AI roadmap aligned with their business goals. With expert-led sessions and peer collaboration, attendees will leave with practical tools, strategic insight, and a clear action plan for implementing AI responsibly and effectively. A Certificate of Completion will be awarded upon successful participation.

Course Objectives and Outcomes

By attending this course, participants will::

• Understand the fundamentals of AI technologies and their business applications.
• Identify opportunities for AI integration in their organization.
• Develop a strategic roadmap for AI adoption and transformation.
• Evaluate risks, ethics, and governance in AI deployment.
• Lead cross-functional teams through AI-related initiatives.

Target Audience

• C-suite executives and directors
• Business unit heads and strategy managers
• Digital transformation leaders
• Senior consultants and innovation leads

Contents

Day One

Unlocking AI’s Power – Transforming Business for the Future

• What is Artificial Intelligence? Overview of key technologies (ML, NLP, Computer Vision, Generative AI)
• History and evolution of AI in business
• Current AI trends and global landscape
• Real-world business use cases (retail, healthcare, finance, logistics, etc.)
• AI maturity model for organizations

Activities:

• Group discussion: AI in your industry
• Case study analysis: How Amazon uses AI to enhance customer experience

Day Two

Aligning AI with Business Strategy

• Linking AI initiatives to business goals
• Identifying business problems that AI can solve
• Data-Driven Strategies for Smarter Decision-Making
• Building AI into your digital transformation roadmap
• ROI and KPIs in AI projects

Activities:

• Workshop: Define a problem in your organization and map AI as a potential solution
• Executive panel: AI strategy success stories

Day Three

Building the AI-Ready Organization

• AI operating models and center of excellence (CoE)
• Talent and skills: in-house vs. outsourced capabilities
• Managing AI-Driven Projects Across Teams and Functions
• Change management and workforce readiness
• Governance, compliance, and risk frameworks

Activities:

• Organizational self-assessment: Are you AI-ready?
• Roadmap simulation: Build your company’s AI playbook

Day Four

Ethics, Risk, and Responsible AI

• Bias, transparency, and fairness in AI
• Regulatory overview (EU AI Act, UK laws, global standards)
• Privacy and cybersecurity considerations
• Ethics in data collection and usage
• Creating a responsible AI governance framework

Activities:

• Ethical dilemma discussion: When AI decisions go wrong
• Group task: Draft an ethical AI charter for your company

Day Five

Executing AI Strategy & Future Outlook

• Creating a scalable AI implementation plan
• Working with vendors, startups, and academia
• Funding AI initiatives and measuring progress
• Emerging trends: Generative AI, Autonomous systems, AGI
• The future of work in the age of AI

Activities:

• Capstone project: Present your company’s AI strategic roadmap
• Feedback and certification ceremony

Course Features:

• Expert industry trainers with real-world AI strategy experience
• Practical frameworks and templates for immediate use
• Networking opportunities with fellow business professionals
• Certificate of Completion