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Data Governance for Inclusive Digital & AI Futures: Free Global Online Course by ITU, UNDP & UNESCO (2026)

Data Governance for Inclusive Digital & AI Futures: Free Global Online Course by ITU, UNDP & UNESCO (2026)
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The rapid evolution of digital technologies and artificial intelligence has made data governance a critical priority for governments, institutions, and development practitioners worldwide. To address this need, leading international organizations have launched a comprehensive training program titled “Data Governance for Inclusive Digital & AI Futures.” This course is designed to equip participants with the knowledge, frameworks, and practical tools needed to build inclusive, secure, and rights-based data systems.

Offered as a fully funded training opportunity, this course provides a unique chance for professionals across the globe to strengthen their understanding of how data can drive equitable digital transformation.

Overview of the Course

This online instructor-led training program focuses on building foundational and practical expertise in data governance. It emphasizes the importance of creating trustworthy data ecosystems that support innovation while safeguarding rights and ensuring inclusivity.

Key Details:

Organizers and Partners

This course is jointly organized by globally recognized institutions working at the intersection of technology, development, and policy:

The program is supported by the European Union’s Global Gateway initiative, ensuring accessibility for participants from diverse backgrounds.

Course Description

The course offers a deep dive into the principles and practices of data governance in the digital age. Participants will explore how to design and implement frameworks that enable:

The curriculum integrates insights from the Data Governance Toolkit, developed collaboratively by UNESCO, UNDP, ITU, and the African Union Commission under the Broadband Commission Working Group.

What You Will Learn

Participants will gain both theoretical understanding and practical insights, including:

  1. Policy Dimensions of Data Governance
    • Designing regulatory frameworks
    • Aligning with national digital strategies and SDGs
  2. Institutional Frameworks
    • Governance structures for data management
    • Stakeholder coordination and accountability
  3. Technical Foundations
    • Data quality, interoperability, and transparency
    • Building secure and trusted data ecosystems
  4. Digital Public Infrastructure (DPI)
    • Governance components of DPI
    • Role of data in public service delivery
  5. AI and Data Ecosystems
    • Importance of reliable data for AI systems
    • Safeguards for ethical AI deployment
  6. Global Case Studies
    • Country experiences and best practices
    • Actionable strategies for implementation

Learning Approach

The course uses an interactive and practical methodology to enhance engagement and knowledge retention:

Target Audience

This course is ideal for:

It is particularly relevant for those involved in shaping digital policies, managing data systems, or working on AI-related initiatives.

Tutors and Coordinators

Participants will learn from experienced experts in the field:

Why You Should Apply

This course offers several valuable benefits:

Inclusivity and Accessibility

The program strongly promotes diversity and inclusion. Applications are encouraged from:

The course is open to all professionals regardless of background, ensuring equal access to learning opportunities.

How to Apply

Interested applicants should complete their registration before the deadline:

Applicants may also refer to the official registration document for detailed instructions and requirements.

Final Thoughts

As data becomes the backbone of digital economies and AI systems, understanding how to govern it responsibly is no longer optional—it is essential. This course provides a timely opportunity to build expertise that can shape inclusive and sustainable digital futures.

Visit  here for more information and to apply

Discover more global courses on OFY  here. 

 

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