Module 1: foundations of ai transformation
This module introduces the fundamentals of artificial intelligence and its role in business transformation. Learners explore how generative AI is reshaping organisations and creating new opportunities for value.
- Introduction to artificial intelligence and generative AI
- Key trends shaping AI adoption in organisations
- Understanding business impact and transformation potential
- Common challenges and barriers to AI adoption
- The role of leadership in AI transformation
Module 2: identifying high-value ai opportunities
This module focuses on recognising where AI can deliver measurable business outcomes. Learners explore practical approaches to identifying and prioritising use cases.
- Mapping AI opportunities across business functions
- Identifying high-impact, low-risk use cases
- Evaluating feasibility and business value
- Prioritisation frameworks for AI initiatives
- Aligning opportunities with organisational goals
Module 3: driving value with microsoft ai technologies
This module explores Microsoft AI tools and how they support business transformation. Learners gain insight into selecting the right technologies for different scenarios.
- Overview of Microsoft AI ecosystem
- Driving productivity with Microsoft 365 Copilot
- Leveraging Azure AI capabilities
- Introduction to Microsoft Foundry
- Matching tools to business needs and use cases
Module 4: enabling ai-powered workflows
This module examines how AI can enhance processes and workflows across the organisation. Learners explore practical applications that deliver efficiency and innovation.
- Redesigning business processes with AI
- Automating tasks and decision-making
- Enhancing collaboration and productivity
- Integrating AI into existing workflows
- Measuring impact and performance improvements
Module 5: responsible ai and governance
This module focuses on implementing AI in a responsible and ethical way. Learners explore governance models and risk management approaches.
- Principles of responsible AI
- Managing risk, compliance, and ethics
- Establishing governance frameworks
- Ensuring transparency and accountability
- Building trust in AI systems
Module 6: planning and scaling ai adoption
This module provides a structured approach to implementing and scaling AI initiatives across the organisation.
- Developing an AI adoption strategy
- Building organisational readiness
- Change management and stakeholder engagement
- Scaling AI across teams and functions
- Continuous improvement and innovation
Module 7: leading ai transformation
This final module consolidates learning with a leadership-focused perspective on driving sustained transformation.
- Defining a vision for AI transformation
- Aligning leadership and organisational culture
- Overcoming resistance to change
- Tracking success and business outcomes
- Next steps for AI maturity
Exams and assessments
There are no formal exams included in this course. Learners will complete knowledge checks, guided reflection activities, and scenario-based exercises to confirm understanding of AI transformation principles and leadership decision-making.
Hands-on learning
This course includes practical, leadership-focused activities that help learners connect AI concepts to real organisational priorities.
Learners will take part in activities such as:
- Mapping AI opportunities across key business functions
- Prioritising AI use cases based on value, feasibility, and risk
- Exploring how Microsoft 365 Copilot, Azure AI, and Microsoft Foundry can support different business needs
- Redesigning workflows to identify where AI can improve productivity and decision-making
- Applying responsible AI principles to governance and risk scenarios
- Creating a high-level AI adoption plan that supports scale, stakeholder engagement, and measurable outcomes