Arabic.AI, a leader in secure, Arabic-first artificial intelligence, has announced the launch of the AI Academy, the first dedicated hub for Arabic-language AI education and enterprise upskilling in the Middle East. The initiative is designed to close the region’s skills gap and build a future-ready workforce.
Key Highlights
The AI Academy is a strategic initiative aimed at building sovereign AI capabilities in the region:
- First in MENA: The first dedicated hub for Arabic-language AI education and enterprise upskilling.
- Target Audience: The programs are designed for governments, enterprises, and professionals across the Arab world.
- Core Offerings: The academy will provide industry-focused workshops, hands-on training, and tailored AI programs.
- Key Sectors: The curriculum will focus on the unique needs of vital sectors such as public services, finance, healthcare, and telecommunications.
Closing the Regional AI Skills Gap
Leveraging more than
16 years of expertise in Arabic language technologies, the AI Academy aims to equip professionals with the knowledge, tools, and certifications needed to lead in the era of artificial intelligence. The academy will offer a curated calendar of programs throughout 2025, addressing the specific challenges and opportunities within the Arab world.
A Curriculum for the Arab World’s Future Workforce
The initiative is focused on more than just technical training; it’s about establishing regional leadership in AI innovation. “AI Academy is about more than just training; it’s about building the Arab world’s future workforce,” said Nour Al Hassan, Founder & CEO of Arabic.AI. “By providing sovereign, secure, and culturally rooted AI education, we are empowering our region not only to adopt AI, but to lead in Arabic-first innovation on the global stage.”
Accessible and Certified Learning Tracks
Accessible both online and on-site, the AI Academy will collaborate with leading academic and industry partners to deliver certifications. The programs will cover a range of needs, including:
- AI literacy and leadership for decision-makers and teams.
- Technical enablement for developers and data professionals.
- Applied enterprise use cases tailored to regional challenges.
Source: Wamda
