Norah Abokhodair on Turning AI Awareness Into AI Capability

Reliability in artificial intelligence is not a technical property alone. Dr. Norah Abokhodair, who leads AI upskilling and enablement for Scale AI's global public sector, argues it rests on the people operating the system. That premise shapes the company's work with Qatar's Ministry of Communications and Information Technology on dozens of public-facing AI use cases, as governments across the Middle East weigh AI for healthcare, financial infrastructure, public services and national security.

The company's answer is Alif, its flagship applied generative AI learning program, developed under Abokhodair's direction. She built it for the Middle East from the outset rather than adapting a global curriculum. The name takes the first letter of the Arabic alphabet, sharing a root with a verb that suggests becoming familiar with something. Alif launched in Qatar in December 2025 with MCIT and runs through Qatar Digital Academy, with Arabic-first teaching and regional use cases and public-sector realities built in.

Between January and June 2026, Alif ran 15 cohorts and trained 240 government professionals drawn from more than 40 Qatari entities. The roster includes MCIT, the General Tax Authority, Qatar Armed Forces, the Amiri Diwan, the Prime Minister's Office, the Ministry of Foreign Affairs, Hamad Medical Corporation, ADLSA and Qatar Rail. Average assessment scores moved from 57% to 77%. Close to eight in ten participants improved their results, and a similar share met the requirements for the program's Digital Competence certificate.

Abokhodair treats workplace application as the measure that matters most next. She draws a line between knowing how to prompt a model and knowing how to use AI effectively. The scarcer skill, in her account, is judging whether an answer is accurate, appropriate and safe for the domain it lands in.

Alif runs on two tracks. Alif Core is a one-day instructor-led workshop for business professionals covering AI foundations, safe evaluation, ethics and use-case identification; participants leave with a proposal called an 'AI Opportunity Canvas'. Alif Tech spans two days for ICT professionals and covers multimodal generative AI, model training, retrieval-augmented generation, AI agents, architecture, risk and governance. Its exercises come from Scale AI's own work, including drafting policy documents and delegating workflows to AI agents.

Scale AI has announced a four-year partnership with Saudi Arabia's Ministry of Communications and Information Technology to equip 100,000 people with practical AI skills. Under it, the company will train and certify Alif Ambassadors nominated by universities, government entities, training centers and companies, who then deliver the curriculum inside their own institutions. The target is roughly 1,500 certified ambassadors by year four, after which delivery transitions increasingly to the institutions themselves. Independence, Abokhodair says, is the design goal. Alif is model-agnostic and vendor-neutral so that what learners pick up stays applicable as models, platforms and providers change. Qatar is the first market, Saudi Arabia the second, with the UK also in view.

Abokhodair describes capability building, startup innovation and enterprise adoption as one pipeline rather than three separate agendas. Alif Entrepreneurs helps founders and teams move from broad awareness to identifying commercially valuable use cases. Scale AI also runs AI Tinkerers meet-ups, internships and a planned self-paced Scale Learn platform. Her advice to founders is to start with one frequent, clearly defined decision that already has an established source of truth, and for companies to fix evaluation criteria before building anything. Stalled pilots, she says, usually come from mistaking a demonstration for production readiness, or from assuming that data access means data is governed for AI.

Abokhodair previously spent years as a senior product manager at Microsoft across education, AI-enabled products and emerging technology. Her academic work in human-computer interaction examined how culture and values such as privacy, identity and trust shape the way technology is designed and adopted. She holds a PhD in information science and a master's in information management from the University of Washington, and a computer science degree from King Saud University. She is a Fulbright Scholar with more than 15 years in technology research, product development, AI transformation and public-sector innovation.

Alif's next phase adds modules on production-grade prompting, safe retrieval pipelines and multi-step agentic workflows, alongside a planned self-paced platform with live environments where learners can experiment with prompts and agents outside instructor-led sessions. Abokhodair frames the arc as a progression: understand AI, use AI, evaluate AI, build with AI and deploy it responsibly. A national AI capability that reaches only part of the workforce, she says, is a ceiling rather than a capability.

The article was written by Wissam Younane, founder and CEO of BNC Publishing, who is based in Dubai, and was published by Entrepreneur Middle East on September 10, 2026.