Training Fundamentals:

 

1. Introduction to ISO/IEC 42001 and its relevance to organizations.

2. Requirements for building and implementing an Artificial Intelligence Management System (AIMS).

3. Assess and address risks in AI systems.

4. AI governance, ethical considerations, and responsibility.

5. Steps of internal audit and obtaining ISO certification.

Training Fundamentals:

 

1. Understand generative AI techniques and their mechanisms of action.

2. Overview of the most prominent government applications: from policy formulation to smart services.

3. Design and implement a generative AI strategy in your organization.

4. Risk management and ethical considerations for large language models.

5. Measuring the impact and effectiveness of generative AI projects.

Training Fundamentals:

 

1. Characteristics of a Digital Leader: How to Lead in an AI-Powered Work Environment.

2. Build a strategic vision for AI that aligns with the organization's goals.

3. Make executive decisions based on data analytics and artificial intelligence.

4. Manage teams and develop skills for the digital future.

5. Global Case Studies in Transformational Leadership Using Artificial Intelligence.

Training Fundamentals:

 

1. Digital transformation strategy development: from vision to roadmap.

2. Re-engineering processes and services to be fully digital.

3. Lead change and build a culture of digital innovation in the organization.

4. Employing emerging technologies (AI, IoT, and Blockchain) in government services.

5. Measure the maturity of digital transformation and KPIs.

Training Fundamentals:

 

1. Understand the landscape of modern cyber threats and their impact on business.

2. Responsibilities of the leader in building an integrated cybersecurity strategy.

3. Information Security Governance and Digital Risk Management.

4. Building a culture of cybersecurity and educating employees.

5. Cyber incident response and digital crisis management.

Training Fundamentals:

​

1. The concept of bureaucracy zeroing and its impact on government efficiency.

2. Process Redesign and Engineering (BPR) methodologies.

3. Use automation and artificial intelligence to streamline operations.

4. Designing a seamless and hassle-free customer journey.

5. Measuring performance and identifying efficiency indicators after restructuring.

Training Fundamentals:

 

1. Understand resistance to change and how to deal with it effectively.

2. Global change management models such as (ADKAR, Kotter).

3. The role of leadership in leading and inspiring teams towards change.

4. Effective communication strategies during and after change is implemented.

5. Build institutional resilience to ensure change is sustainable.

Training Fundamentals:

 

1. Fundamentals of AI Systems Auditing: Risks and Controls.

2. Evaluate data governance and algorithmic models.

3. To audit AI ethics and regulatory compliance.

4. Using AI as a tool to enhance the internal audit process.

5. Prepare AI audit reports for senior management.

Training Fundamentals:

 

1. Understand the framework and standards of the Global Star System for Service Ratings.

2. Designing the customer's journey according to the seven-star criteria.

3. Innovation in the provision of proactive and personalized services.

4. Measure customer experience and analyze feedback to improve the service.

5. Assessment requirements and preparation mechanisms for an advanced classification.

Training Fundamentals:

 

1. The concept of integrated GRC and its importance in the digital age.

2. Applying the global frameworks (COSO, ISO 31000) in a digital environment.

3. Technology and data governance as strategic assets.

4. Automate risk management and compliance processes using technology.

5. Building GRC dashboards to support decision-making.

Training Fundamentals:

 

1. Principles and Fundamentals of Data Governance and its Frameworks.

2. Build and classify data quality policies and standards.

3. Requirements of data protection and privacy laws such as PDPL, GDPR (GDPR).

4. Define the roles and responsibilities of data governance (data board, data officer).

5. Apply data governance and security tools and techniques.

Training Fundamentals:

 

1. Identify the future competencies and skills of government leaders.

2. Strategies for attracting, developing and retaining government talent.

3. Designing programs to prepare and develop future leaders.

4. Apply the latest performance appraisal and talent management tools.

5. Linking talent management to the standards of the Dubai Government Excellence Program.

Training Fundamentals:

 

1. HR Digital Transformation Strategy and Roadmap.

2. Automate HR processes (recruitment, onboarding, performance).

3. Designing a differentiated and stimulating digital employee experience.

4. Use data analytics to support HR decisions.

5. Application of Cloud Human Resources Systems (HRIS) and Artificial Intelligence.

Training Fundamentals:

 

1. Understand the main axes of the government excellence system (vision, value, enablers).

2. A detailed explanation of the system's standards and how to apply them.

3. Self-assessment mechanisms and identifying institutional performance gaps.

4. Building institutional capacity to achieve excellence requirements.

5. Prepare and prepare the participation document for the award effectively.

Training Fundamentals:

 

1. A comprehensive overview of the updated program award categories and criteria.

2. An in-depth explanation of the capability criteria (leadership, strategy, resources).

3. Analyze the results criteria (customers, employees, community, performance).

4. The Evaluation Mechanism (RADAR) and how to apply it in writing the report.

5. Practical workshops on real-world case studies.

Training Fundamentals:

 

1. Anticipate the skills and jobs required in the next decade.

2. The Impact of Artificial Intelligence and Automation on the Labor Market.

3. Future Skills: Critical Thinking, Creativity, Emotional Intelligence.

4. Strategies for continuous professional development and adaptation to change.

5. Building a flexible and sustainable career path in the digital economy.