KAUST held its fifth annual KAUST Saudi Leadership Program (KSLP) in collaboration with the Haas School of Business of UC Berkeley. The 2018 KSLP edition included workshops and a six-day training course for 25 Saudi female academics in leadership and deanship positions. Participants reviewed strategic planning, team management, and effective executive leadership, and attended lectures by KAUST's senior leadership. Why it matters: Such programs contribute to developing leadership capabilities within Saudi academic institutions, fostering a stronger educational ecosystem in line with Saudi Vision 2030.
MoIAT and MBZUAI conducted the second edition of their "Industry 4.0 and AI for Industrial Leaders" training program. The four-day program aims to develop skills in AI implementation within industry and enhance national industrial capacity through 4IR technologies. Industrial leaders gained technical knowledge to harness AI and accelerate industrial transformation. Why it matters: This initiative reflects the UAE's commitment to becoming a leader in AI by 2031, boosting industrial productivity, and integrating advanced technologies to contribute significantly to the national GDP.
KAUST Academy is launching training programs in AI, bioinformatics, and renewable energy to help position Saudi Arabia as a global leader in these fields. Over 1,500 students from Saudi universities will participate in the programs, which align with Saudi Vision 2030 goals. The programs are in collaboration with strategic partners like NTDP, the Al-Aqeel Foundation, KACARE, and the Saudi Women and Energy Association. Why it matters: The initiative aims to cultivate local talent and build a knowledge-based economy in Saudi Arabia, addressing future needs in critical technology sectors.
KAUST is expanding its Lifelong Learning Initiative, now called KAUST Academy, to meet growing demand for AI and machine learning training in Saudi Arabia. The Academy offers short courses and certificates in STEM fields, targeting both recent graduates and professionals. KAUST faculty and industry partners contribute to the program, which is free for Saudi nationals and residents. Why it matters: The KAUST Academy aims to upskill the Saudi workforce and support the Kingdom's Vision 2030 and 2050 goals by providing accessible, high-quality training in AI and other key areas.
KAUST is launching the Lifelong Learning Initiative (LLI), offering short, hands-on courses in areas like cybersecurity, food security, and semiconductors. The inaugural AI courses, designed for those with basic coding skills, will start with a "Machine Learning Bootcamp" in Riyadh from May 10-12. The KAUST Artificial Intelligence Initiative (AII) is developing AI class material in partnership with SDAIA. Why it matters: This initiative will upskill Saudi nationals and residents in critical areas like AI, supporting the Kingdom's development objectives and mobilization of the labor market.
KAUST's Technology, Innovation, and Entrepreneurship (TIE) program and the National Industrial Development and Logistics Program (NIDLP) are collaborating to train Saudi entrepreneurs. The "Startup Founder Leadership Program," co-developed with SDA Bocconi, provided five-day intensive training to 28 participants selected from 147 applicants. The program focused on marketing, communication, finance, and entrepreneurship management skills. Why it matters: This partnership highlights the focus on developing local talent and fostering innovation within Saudi Arabia's evolving entrepreneurial ecosystem.
Researchers from KAUST trained members of the Moving Windmills non-profit on green energy infrastructure. The training program included hands-on experience for installing solar photovoltaic systems for use in Malawi, such as solar water pumps and rooftop solar on school buildings. Moving Windmills will use this knowledge to coordinate energy projects across Malawi. Why it matters: This initiative highlights KAUST's commitment to supporting sustainable development in Africa by sharing technical expertise and resources.
MBZUAI is hosting a short course on developing open-source machine learning packages. The course will be led by Chih-Jen Lin, an affiliated professor at MBZUAI and distinguished professor at National Taiwan University, who has developed widely used ML packages like LIBSVM and LibMultiLabel. The course will cover topics such as starting a project, choosing functionalities, and identifying research problems from user feedback. Why it matters: This course can help improve the quality and usability of open-source machine learning tools coming from the region's research institutions.