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Coursera Report Shows Surge In UAE Interest In AI Upskilling
The Emirates lead the Middle East and North Africa for skill proficiency and come second globally for business.
Applications for generative artificial intelligence (GenAI) courses in the UAE have rocketed by over 1,100% during the past year, according to Coursera’s Global Skills Report 2024.
The enrolment rate easily surpassed the MENA region’s already impressive 861% year-on-year growth and the worldwide rate of 1,060%, signifying an increase in interest from UAE learners in AI and machine learning skill sets.
“Compared to other markets, the UAE has a higher number of expats, so the workforce structure may be more inclined to adopt technology-related or technology-impacted roles,” said Nikolaz Foucaud, Coursera’s managing director for Europe, the Middle East, and Africa.
According to Coursera, the Emirates is now a leader in AI education, ranking third globally in the GenAI sector behind the USA and China. During the first quarter of 2024, over 1 million UAE users were active on the platform, with a median age of 35.
The MENA region is set to become a key player in digital transformation and trade, according to the report, as significant investments continue to be made in technology infrastructure and logistics. However, there is still a pressing need to boost technology skills proficiency, which currently sits at around 40%.
Also Read: The Most AI-Proof Career Opportunities In The Middle East
“When you speak to employers, they emphasize skills that AI disruption cannot easily replace or enhance in the short term – social skills, human skills, interpersonal skills, the ability to collaborate, lead teams, and communicate effectively, including public speaking,” Coursera’s Foucaud added.
Coursera’s report also highlights the importance of career-focused, accessible skill development, along with initiatives to further gender inclusivity in the online learning sector. Women in the UAE currently comprise 33% of Coursera learners, with 27% studying science, technology, engineering, and mathematics (STEM) subjects.
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Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics
Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
