AI fundamentals

_{Month 1}

Introduction: AI in business

Gain a foundational introduction to AI and learn about how AI drives business forward.

• Core AI terminology
• Role of AI in business
• Generating business value through AI
• Industry-relevant case studies

_{Month 2}

AI and data

Understand the role of clean, structured data in driving AI business value.

• The importance of data in AI
• The data lifecycle: data collection and preparation, data storage, data structures and modeling
• The importance of data governance in AI
• Data security frameworks and protocols for AI

_{Month 3}

AI ethics and responsible AI

Learn about ethical considerations and risks associated with AI technology.

• Ethical concerns in AI implementations
• Understanding and identifying bias in AI
• Mitigating AI risks
• Understanding UK, US, and EU regulations

Business analysis fundamentals

_{Month 4}

Introduction to business analysis

Understand the role of business analysis in driving progress towards business objectives.

• The role of a business analyst
• Leveraging business analysis for change
• Transformation lifecycle
• Systems development lifecycle
• Scoping, planning, and performing business analysis

_{Month 5}

End point assessment (EPA) preparation

• Working session to learn more about the EPA, practice for interviews, and work on project evidence.

_{Month 6}

Evaluating the state of the organisation

Analyse business state, including internal processes and external environment, to identify improvement opportunities.

• Investigate business situations
• Analyse internal and external environments for strategic insights
• Apply techniques for process improvement through modeling and analysis

_{Month 7}

Understanding business needs

Identify business needs, gather stakeholder input, and iteratively develop cross-functional solutions.

• Identify business pains
• Collect stakeholder input
• Develop user stories for digital solutions
• Use an iterative approach to prioritise and validate business and stakeholder needs

Embedding AI into your organisation

_{Month 8}

Identifying opportunities for AI

Identify, evaluate, and prioritise AI use cases in your organisation.

• Identify potential AI use cases in your organisation
• Evaluate the business value of AI opportunities
• Evaluate the feasibility, desirability, and viability of AI initiatives

_{Month 9}

Implementing AI projects

Implement AI projects, overcome operational challenges, and select optimal tools and workflows.

• Overcoming operational barriers in AI projects
• Models for ways of working on AI projects
• Evaluating AI

_{Month 10}

Scaling AI in your organisation

Future-proof your project and scale the use of AI in your organisation.

• Business acceptance of AI projects
• Post-implementation review for AI initiatives
• The future of AI in organisations

_{Month 11}

Change management for AI

Manage AI change for the long-term.

• Understanding resistance to AI changes
• Strategies for managing change during AI initiatives
• Develop a communication approach for AI initiatives

_{Month 12}

AI ROI and business impact

Assess, maximise, and communicate the benefits of an AI implementation.

• Identifying KPIs and metrics for successful AI projects
• Tracking the business impact of AI implementations
• Evaluating the ROI of AI initiatives

_{Month 13}

End point assessment (EPA) preparation

Working session to learn more about the EPA, practice for interviews, and work on project evidence