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AI Literacy &
Awareness Week 2026

Seizing the AI opportunity: AI as your co-pilot.

Join us March 23–27, 2026 for a nationwide initiative to close Kenya’s AI literacy gap.

Smart Nation Week: Building Confidence in the Age of AI

Closing the Gap. Building the Future

AI Literacy & Awareness Week is a nationwide initiative led by the Kenya AI Skilling Alliance (KAISA) to close Kenya’s AI literacy gap and build a shared baseline of understanding across sectors. AI is rapidly shaping workplaces, classrooms, SMEs, public services, and creative industries, but adoption is uneven and often misunderstood.

This week brings AI conversations beyond technical circles and into mainstream economic and social discourse, thus helping Kenyans see AI as a co‑pilot, not a threat.

Scaling AI Literacy Across the Nation

Pathways Technologies is proud to support AI Literacy & Awareness Week through:

Virtual AI Fluency Webinars

Daily learning aligned to national themes

AI Fluency Challenge

Micro-learning activities for 5,000+ participants

Physical AI Roadshows

Community Engagement, Demos & Awareness

Youth & University Outreach

TVETs, Universities & Innovation Hubs

National Themes

Focusing on the strategic pillars of Kenya’s AI transformation. These themes provide a roadmap for literacy, ensuring that every
sector—from the classroom to the boardroom—has the foundation to thrive in an AI-driven economy.

Who Can Join the AI Literacy Week?

Focusing on the strategic pillars of Kenya’s AI transformation. These themes provide a roadmap for literacy, ensuring that every sector—from the classroom to the boardroom—has the foundation to thrive in an AI-driven economy.

In Partnership KAISA

KAISA is a national alliance uniting private sector, academia, government institutions and ecosystem actors to accelerate AI skills development and responsible adoption across Kenya.

Ready to Lead the AI Revolution?

Don’t just watch the future happen—build it. Join Pathways Technologies for AI Skilling Week and gain the hands-on
expertise you need to master Machine Learning, Data Science, and AI application development.