The British Academy for Training and Development offers a comprehensive Executive Leadership in Artificial Intelligence (AI) Systems training course. The Executive Leadership in Artificial Intelligence Systems training course aimed at senior leaders tasked with managing their organisation's AI strategy, implementation, and governance. This course offers technical design, data governance, privacy laws, and leadership abilities to assist leaders in making strategic decisions in the changing AI scene. You will acquire a thorough understanding of artificial intelligence within a global business context as well as key knowledge of AI architecture so as to maximize benefits for your company.

Essential highlights of the Executive Leadership in Artificial Intelligence Systems training programme are:

• Knowing the structures of strategic artificial intelligence management

• Managing top-level compliance and privacy projects inside companies

• Important technical architecture decisions

• Operating digital transformation plans

• Applying strong government systems

Objective:

In this course attendees will be able to:

• Master strategic decisionmaking in AI governance by examining validated regulatory frameworks, privacy needs, and technical architecture across both the Middle East and international markets, therefore empowering leadership in digital transformation.

• Using actual case studies, design efficient implementation plans for data governance and artificial intelligence systems guaranteeing practical use of the ideas covered.

• Lead institutional transformation and control hazards by knowing accepted compliance frameworks including PDPL, SAMA guidelines, and EU AI laws, but create strong governance systems supporting innovation and regulation.

• Understanding the links between data privacy, system architecture, and organisational demands helps to create and manage integrated technical and governance frameworks, therefore guaranteeing effective leadership of cross-functional teams.

• Supporting long-term success in artificial intelligence adoption, create and execute sustainable AI plans by knowing evolving technologies, confirmed regulatory demands, and true implementation approaches.

Who Should Attend?
This Executive Leadership in Artificial Intelligence Systems training course is beneficial for:

• IT Directors

• Digital Transformation Leaders

• Data Protection Officers (DPOs) and Privacy Directors

• Enterprise Architects and Technical Directors

• Compliance Officers and Legal Directors

• Information Security and Risk Management Leaders

How will attendees benefit?
Attendees will gain many benefits, include:

• Understand Knowledge of AI Applications: Attendees will learn how business plans could incorporate artificial intelligence technologies like machine learning, natural language processing, and predictive analytics in a clear, nontechnical manner. This enables them to match artificial intelligence projects with organisational objectives.

• Better Decision-Making Skills: Managers will discover how artificial intelligence can improve forecasting, customer experience, risk management, and operational efficiency with data-driven insights resulting in wiser, quicker, and more confident decisionmaking.

• Leading Digital Transformation: The curriculum gives leaders the tools and attitude necessary to promote artificial intelligence implementation throughout their companies. They will study how to effectively manage cross-functional artificial intelligence projects, drive innovation, and resist change.

• Control of ethics and risk: Attendees will investigate the moral, legal, and social ramifications of artificial intelligence (AI). They will get instruction on how to evaluate artificial intelligence risks, guarantee compliance, and place governance systems that develop trust with stakeholders.

• Cross-department Collaboration: Managers will learn methods between business units, IT departments, and AI developers, therefore fostering cooperation and guaranteeing that artificial intelligence systems fit actual business needs.

• Competitive advantage: Attendees will help their companies stay ahead in competitive markets by incorporating artificial intelligence leadership abilities. They will lead innovation that generates long-term value, streamline procedures, and spot fresh possibilities.

• Real Case Studies and Use Cases: The course includes actual instances from sectors including retail, healthcare, manufacturing, and finance. These case studies inspire plans for their own industries by helping attendees understand how AI has been used effectively.

Module 1: Data Governance, Privacy & Integrity in Artificial Intelligence (AI)

• Global Privacy Framework

• Regional Focus

• Data Classification Systems

• Data Lifecycle Management

• Data Governance Operating Models

• Privacy Impact Assessments

• Privacy Risk Assessment Models

• Data Protection Impact Assessments

• Data Anonymization Techniques

• Encryption Standards

• Organizational Integration

• Privacy Governance Structure

• Privacy Metrics Development

• Incident Response

• Emerging Topics

• Privacy-Preserving AI Techniques

• Federated Learning

Module 2: Artificial Intelligence Systems Architecture and Governance

• Enterprise AI Architecture Patterns

• Cloud vs On-Premise AI Infrastructure

• Saudi Cloud First Policy (verified)

• UAE TRA's actual published guidelines

• Model Development Platforms

• Data Pipeline Architecture

• API Management

• Microservices Architecture

• Architecture Review Boards

• Change Management Processes

• Performance Monitoring

• Capacity Planning

• Continuous Integration/Deployment

• A/B Testing Frameworks

• Testing Strategies

• Performance Testing

• Emerging Trends

• Edge AI Architecture

• Federated Learning Systems