The British Academy for Training and Development offers the comprehensive AI Strategy and Governance Training Course. This course is designed in a manner that is systematic to the understanding of strategic use of AI across the organisations. It offers attendees on AI governance frameworks and compliance and accountability in deploying AI systems. The course focuses on developing AI literacy for professionals to improve their leading abilities with insight for data-driven environments.

Core areas of the training will include developing responsible AI strategies, implementation of AI risk management plans, and a comprehensive understanding of AI policy design. Attendees will get practical tools to assess AI models, design AI readiness assessments for their organisations, and other models as needed.

In such participatory modules, attendees will learn more about the role of leadership in AI strategy, identify ethical implications of AI, build trustworthy AI systems that meet regulatory norms and societal expectations. Besides ensuring cross-functional participation, the course offers professionals from legal, IT, HR, and executive backgrounds to be part of the success towards effective AI implementation. This course is a necessity for all professionals interested in AI. 

By the end of the course, attendees will be able to:

• Understand the basic principles of AI strategy and governance.

• Determine and evaluate an organisation's AI readiness.

• Develop and establish an appropriate system of governance for AI to ensure ethical and legal compliance.

• Ensure difference between AI implementation with existing organisational goals and strategic planning.

• Recognise and mitigate the risks and challenges posed by AI.

• Facilitate cross-functional teams towards responsible development and deployment of AI.

• Evaluate artificial intelligence indexes and lead continuous improvement.

Who Should Attend?

The course is beneficial for:

• C-level executives and business leaders driving the AI transformation.

• Strategy and innovation managers integrating AI with organisational planning.

• IT and digital transformation specialists deploying AI systems.

• Compliance officers and risk managers overseeing AI ethics and governance

• Human resources, legal and operation teams who include AI into their daily change management

• Public leaders and policymakers in the public sector who engage in AI frameworks

How Will Attendees Benefit?

Attendees in the AI Strategy and Governance Training Course will gain a wide range of strategic, technical, and leadership benefits, including:

• Strategic Insight: Develop well-defined views on the alignment of AI efforts on the overall business strategy plan for sustainable innovation and development.

• Governance Expertise: Familiarity with the process of adopting total AI governance frameworks for transparency, compliance, and ethical accountability.

• AI Readiness: Tools and readiness to understand the existing AI maturity level of your organisation, determine applicable gaps and opportunities to scale responsibly.

• Risk and Compliance Awareness: Understanding on practice dimensions of AI risk management in law, ethics, and regulatory dimensions to prevent excessive misappropriation.

• Leadership Confidence: Become a more strategic leader by instilling cross-functional collaboration and guiding teams through AI transformation.

• Ethical Decision-Making: Make informed decisions based on data, but not limited by it, balancing innovation and accountability.

• Future-Proofing Capabilities: Get ahead of technological disruption by learning about new trends and embedding responsible AI practices into core business processes.

• Real-World Relevance: Leverage case studies, actionable tools, and scenario-based learning that can be applied to your work situation immediately.

Introduction to AI in Strategic Management

• Understanding the role of AI in business transformation

• Overview of AI technologies and capabilities

• Case studies of AI-driven organisations

Foundations of AI Governance

• What is AI governance?

• Importance of accountability, transparency, and control

• Global standards and regulations

Designing AI Strategy

• Aligning AI with corporate vision and mission

• Creating a roadmap for AI adoption

• Stakeholder engagement and change management

Developing AI Readiness and Maturity

• Conducting AI readiness assessments

• Using AI maturity models

• Identifying gaps and opportunities

AI Ethics, Legal, and Regulatory Considerations

• Addressing ethical concerns in AI

• Legal implications and data privacy laws

• Responsible use of machine learning and automation

AI Risk Management

• Identifying risks in AI implementation

• Developing AI-specific risk mitigation strategies

• Building resilience through governance

Implementing AI Governance Frameworks

• Governance structures and roles

• Policy development and oversight processes

• Tools for monitoring AI system performance

Leadership and Cross-functional Collaboration

• Leadership’s role in AI strategy success

• Engaging legal, HR, IT, and operational teams

• Building a culture of responsible innovation

Evaluating and Scaling AI Systems

• Measuring success and ROI of AI initiatives

• Scaling responsibly across departments

• Continuous improvement and future-readiness