KATHMANDU, Feb 13: Fusemachines, a provider of enterprise AI products and solutions, invited registrations for the Fusemachines AI Fellowship 2024 Nepal cohort on Monday. The flagship program, designed by US university faculties and AI industry experts, offers Fusemachines’ proprietary Microdegree™ program with the goal of producing high-quality AI and data science talent.
The accelerated learning program provides advanced AI and data science expertise, along with hands-on problem-solving experience. The program is curated to upskill IT students, professionals, and enthusiasts with demonstrated backgrounds in programming, mathematics, computer science, and software development. Applicants will undergo a multi-stage selection process, and qualifying candidates will receive full scholarships to participate in the program.
"Each year, we continue to be pleasantly surprised by the growing enthusiasm for our Fellowship program expressed by applicants from across regions,” said Sameer Maskey, CEO, and Founder of Fusemachines Inc. “This year, we are looking to further nurture and propel this enthusiasm by providing unmatched training and upskilling opportunities for promising careers in data science and AI. In the fast-evolving landscape of AI, we are excited to be at the forefront of sculpting a community where passion meets innovation. By offering top-tier training, we are forging a future where Nepal stands as a beacon of AI excellence on the global stage."
Since its inception in 2017, the Fusemachines AI Fellowship Program has successfully trained over 800 fellows across 12 countries in frontier markets, aligning with Fusemachines' vision to democratize AI through quality AI education opportunities.
After completing the program, students will acquire a thorough understanding of AI, Machine Learning, and Deep Learning, complemented by proficiency in essential mathematical and programming principles. The program will employ weekly live online sessions with esteemed educators and industry experts, hands-on programming assignments, collaborative group projects, and supervised examinations.
The majority of the course content will be available online, with weekly live lectures and facilitated self-paced learning. The curriculum extends beyond theory, empowering participants to select and implement appropriate algorithms, libraries, frameworks, and techniques for diverse challenges in state-of-the-art computer vision, natural language processing, and generative AI technology. Students will conduct experiments to assess performance, compare models, and design end-to-end pipelines, considering various operational choices, ensuring practical and applicable skills for real-world scenarios.