Laying the groundwork: Foundations of Artificial Intelligence

_{Month 1}

AI 101: What do leaders need to know about AI?

Gain a foundational understanding of artificial intelligence as a leader by exploring its history, types, and key use cases, while examining how AI integrates with existing technologies. Delve into the critical role of data in AI applications, highlighting the importance of robust data architecture and effective data pipelines. Finally, get hands-on experience with AI applications to practice basic prompting techniques and common AI methods.

_{Month 2}

The urgency of AI adoption

Understand the risk of inaction in the AI space to ensure that your department and organisation remain competitive and ahead of the competition. Learn to create responsive strategies for crisis situations that may arise from using AI, ensuring your organisation is prepared to navigate and mitigate these risks effectively.

_{Month 3}

Navigating ethics, regulation & governance

Explore the ethical implications and regulatory landscape of artificial intelligence in business. Understand key responsibility issues, model governance structures, and ensure responsible AI and data management practices within your organisation.

Leading an AI-first organisation

_{Month 4}

AI use cases and innovation in your department

Identify opportunities for AI implementation to enhance business outcomes by exploring both successful and unsuccessful case studies across various industries. Establish a culture of innovation within your department. Finally, discover ways to leverage AI to enhance team efficiency and drive meaningful results in your organisation.

_{Month 5}

Becoming an AI advocate

Learn strategies for championing AI within your organisation and understand the pivotal role of leadership in fostering a positive AI culture. Tailor AI initiatives to address specific business areas and explore how these implementations can drive impact. Additionally, examine how AI influences leadership styles, considering how it may complement or transform your approach to leading teams effectively.

_{Month 6}

Crafting your AI vision

Understand how to develop a holistic AI strategy that creates an engaging and sustainable vision for your organisation. Learn to align your AI initiatives with overarching business objectives and explore the components of an actionable long-term AI roadmap tailored for your specific business area, ensuring effective implementation and measurable impact.

_{Month 7}

Communicating credibly and procuring AI

Explore frameworks for selecting AI solutions from vendors, including evaluation criteria and available out-of-the-box options, while mastering negotiation strategies for procurement. Understand how to build lasting relationships with third-party vendors and enhance your communication skills to effectively convey AI concepts to both technical and non-technical teams, fostering collaboration and aligning project objectives.

Strategic AI for maximum value

_{Month 8}

Building an agile AI organisation

Understand how to transform your organisation by exploring structural changes for effective AI integration and the importance of skills development for AI awareness. Examine potential team structures supported by AI and learn strategies to upskill your workforce, creating opportunities for continuous learning to enhance overall organisational agility in the AI landscape.

_{Month 9}

Crafting a compelling AI business case

Learn to measure the return on investment (ROI) of AI initiatives through effective metrics and measurements. Explore how to create and structure a compelling business case for AI, addressing the unique nuances involved, and discover techniques to identify AI investments that align with strategic organisational goals, ensuring that your proposals resonate with stakeholders and drive meaningful impact.

_{Month 10}

Evaluating KPIs and establishing realistic timelines

Explore realistic timelines for AI integration, identifying common blockers that can hinder the achievement of potential returns on AI implementations. Learn to evaluate key performance indicators (KPIs) to effectively track the success of AI initiatives, ensuring your organisation can monitor progress and manage expectations throughout the implementation process.

_{Month 11}

The future of leadership in an AI world

Understand how AI can enhance decision-making through automated insights and develop strategies for ongoing learning to stay informed about future AI trends. Explore the impact of AI on team dynamics, addressing concerns while effectively communicating its benefits. Ensure alignment with organisational sustainability goals and foster a diverse, engaged workforce in an AI-driven environment.

_{Month 12}

End point assessment (EPA) preparation

Embrace a growth mindset, focusing on continuous learning and flexibility to thrive in an AI-driven business landscape.

End point assessment (EPA)

_{Months 13-16}

End point assessment (EPA)