aiXplain Academy

AI Native Executives & Directors

Master the strategic, governance, and investment decisions that determine whether your organization's AI initiatives succeed or fail.

Who This Is For

  • C-suite executives and Managing Directors
  • Board members and non-executive directors
  • SVPs and Divisional Directors
  • Senior business and public-sector leaders

Program Benefits

  • A practical, hands-on learning experience: A live, virtual program where senior leaders build the strategic clarity, governance confidence, and investment judgment to lead AI initiatives at board level.
  • Learn from top-tier speakers and faculty: Engage directly with practitioners and experts drawn from industry, not just theory.
  • Membership in the aiXplain alumni community: Stay current on AI, exchange experiences, and keep learning alongside a network of professionals long after the program ends.
  • Certificate of Attendance: A credential you can add to your profile and share with your employer.
  • Access to the AI Agent Library: A ready-to-use collection of AI agents you can draw on in your own workflows.
  • Invitations to exclusive events: Ongoing access to gatherings with AI practitioners to keep building your skills and connections.

Program Design

Learning Objectives

By the end of the program, participants will be able to:

01Explain how core AI and agentic AI technologies work, and where they create real business value
02Separate genuine opportunity from hype across the current AI landscape
03Assess AI's strategic impact on their industry, business model, and competitive position
04Identify and prioritize the highest-value AI opportunities across the enterprise portfolio
05Build a phased AI roadmap that ties technology investment to measurable business outcomes
06Set investment levels and evaluate build-vs-buy and vendor-partnership decisions
07Recognize the major risks, pitfalls, and failure modes of enterprise AI, and how to avoid them
08Establish AI governance, risk, and compliance structures aligned to emerging regulation
09Ask the right boardroom questions to challenge and direct AI initiatives with confidence
10Lead the workforce, culture, and operating-model shift required to scale AI organization-wide

Tuition

$799 / person

Format & Delivery

Virtual

Session Dates

17 Jul 2026, Friday, 9am – 4pm KSA
18 Jul 2026, Saturday, 9am – 4pm KSA

Live via Zoom · time for prayer and breaks provided

Want to train your team?

We offer private, customized cohorts for organizations training 10+ employees. Contextualized to your specific business data.

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Program Faculty

Dr. Hassan Sawaf
Dean

Founder & CEO, aiXplain

25+ years of experience in employing cutting-edge technologies for mission-critical business operations. Founded and led several companies and organizations in the AI domain, including engagements with Meta (formerly Facebook), AWS, and eBay.

Dr. Annas Abedin
Dean

Strategic Advisor, aiXplain

Serial entrepreneur (co-founder of Rocket Internet MENA, Namshi, Qimam Fellowship, Makeen Advisors, Mustashar Accelerator) and former McKinsey consultant. Trained 5k+ professionals in management consulting skills across MENA.

Dr. Nur Hamdan
Core Faculty

Head of Product, aiXplain

Leading teams of researchers, engineers, and designers to design and operate the aiXplain agentic OS, which supports organizations all over the world to manage and deploy agentic AI at scale.

Miqdad Dali
Core Faculty

Field CTO, aiXplain

Leads technical strategy, oversees AI solution architecture, and bridges client needs with product capabilities. Expertise in enterprise AI adoption, technical strategy, and scalable solution delivery.

Marco Trombetti
Guest Faculty

Co-founder & CEO · Translated / ModernMT

Co-founder and CEO of Translated, the AI-driven language company behind ModernMT. A serial entrepreneur and investor whose machine translation research has been widely cited as evidence that AI has reached human parity in translation.

Dr. Mona Diab
Guest Faculty

Director, Language Technologies Institute · Carnegie Mellon University

Computer science professor and director of Carnegie Mellon University's Language Technologies Institute. Previously a professor at George Washington University and a research scientist with Facebook AI.

FAQs