info@ceris.be    +32(0)2 537 40 75   +32(0)471 726 505
E-community
E-learning
21
Apr

AI for Policymakers – Two Days Intensive Training with Ajit Jaokar 10 & 11 July 2026

By
Home > Blog > AI for Policymakers – Two Days Intensive Training with Ajit Jaokar 10 & 11 July 2026
AI for Policymakers : Foundation . Governance . Geopolitics – No technical background of AI is required.

Two Days Intensive Training with Ajit Jaokar (Course director for several AI programs at the University of Oxford). Places are very limited (first come, first served). Fees: 3.000 Euros (including the booking fees of 2.000 Euros). Deadline: Monday 10th June, 2026 (Early bird rate 10% discount in April and May 2026).

Course Overview

This course equips policymakers, government officials, and public sector leaders with the knowledge needed to understand, govern, and strategically respond to artificial intelligence. Artificial intelligence is rapidly becoming a foundational technology shaping economies, public services, security systems, and global power dynamics. Policymakers must therefore develop both AI literacy and policy judgment to navigate its opportunities and risks. The course bridges three essential areas: 1. Understanding how AI works, 2. Applying AI governance in real policy contexts, 3. Navigating the global strategic competition around AI. No technical background of AI is required.

Target Audience
  • Government officials
  • Legislative staff
  • Regulators
  • Public sector executives
  • Policy advisors
  • International organization professionals
Learning Objectives – Participants will develop the ability to:
  • Understand AI technologies at a practical level
  • Evaluate AI risks and benefits
  • Design effective AI governance policies
  • Understand AI’s role in national strategy and global competition
Course Structure – The course is organized into three sections:

Section 1 — Foundations of AI : Builds basic technical literacy

Section 2 — AI for Policymakers : Focuses on governance, regulation, and societal impact.

Section 3 — The Geopolitics of AI : Explores AI as a strategic and global power technology.

Practical information : 

Places are very limited (first come, first served).

Fees: 3.000 Euros (including the booking fees of 2.000 Euros)

Duration: 2 Days Programme (Friday 10th July 2026 and Saturday 11th July 2026)

Hours: 10:00 am  to 12:30 pm & 2:00 pm to 5:00 pm

Language: English

Class Size: 20-30 participants maximum

Location: Avenue Jeanne 44, 1050 Brussels (Campus Solbosch)

The Two-days training programme is also accessible worldwide online

Registration: info@ceris.be

Deadline: Monday 10th June, 2026 (Early bird rate 10% discount in April and May 2026)

 

About the author

Professor Ajit Jaokar is a researcher and teacher of Applied Artificial intelligence at the University of Oxford. Currently, he serves as the Course Director for several AI programs at the University of Oxford - ranging from AI Engineering, Low code AI and AI in Cyber security and Risk. He is also a Visiting Fellow for AI in Engineering Sciences at the University of Oxford. His work is rooted in the interdisciplinary aspects of AI. Over the past 15 years, in the policy space, he has presented at the Capitol Hill / White house - The G7 summit, the World Economic Forum and the European Parliament on AI - working with Members of Congress and members of European Parliament. Ajit’s applied research and consulting activities include areas such as AI in Cyber security/Risk management - Human AI collaboration - Data governance for AI agents - AI for Engineering Sciences. These areas are also related to his teaching. He works globally in a consulting and advisory capacity. Ajit is passionate about reskilling for AI and democratising the teaching and learning of AI using large language models and is doing some pioneering work in this area at the University of Oxford. Ajit was until recently (Nov 25) also a fellow at the Justice AI Unit at the Ministry of Justice for the UK Government - working across Government on a range of complex AI issues on the rollout of large scale AI - covering mainly the OpenAI and the Microsoft 365 platforms. [read more]