FUSEMACHINES AI FELLOWSHIP

The first one-year program to become an expert in Artificial Intelligence.

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Program Highlights

The AI Fellowship is a one-year fellowship program that turns maths/programming students into AI engineers. It grants them with a first-class education in Artificial Intelligence and Machine Learning, enabling them to compete with graduates from top U.S. programs in computer science.

The program, which started in Nepal, is set to launch in three additional locations: New York City, Dominican Republic, and Rwanda. Fellows get hands-on experience in a wide range of AI techniques from machine translation to robotics. They are encouraged to develop projects of their own, leveraging the high potential of Artificial Intelligence to address real-life situations and social issues.

After a highly-selective vetting process, successful applicants are paired with in-house mentors. One of the fellowship’s goals is to close the opportunity gap by giving access to AI education to students in developing countries or from low-income communities. With a combination of online courses and some on-site training, students who complete the program are equipped to lead innovation in AI.

  • In-depth training in Machine Learning, Natural Language Processing, and Neural Networks technology
  • Mentorship and guidance from top AI experts with industry knowledge
  • Develop applications of AI that address real-world problems in healthcare, mobility, communications
  • Tuition-free program with access to academic and professional opportunities in the field
  • Join a global network of fellows and AI practitioners

Our mentors come from top universities and research teams

  • Sameer Maskey

    Sameer Maskey holds a Ph.D., M. Phil. & M.S. in Computer Science from Columbia University. He has more than 15 years of experience in Natural Language Processing/Machine Learning/Data Science. He currently teaches Data Science and Technology Entrepreneurship at Columbia University. He has published more than 20 peer reviewed articles and served as a Session Chair, a Program Committee member, and a Review Committee member of many International Conferences.

  • Steven J. Rennie

    Steven J. Rennie got his PhD from the University of Toronto with a specialization in speech recognition and is a renowned speaker in the industry. After obtaining his PhD, he went on to work at IBM, where he was the Team Lead for Watson Multimodal Group. He has more than 20 years of experience in research and development.

Apply to become an AI Fellow

Start your application now. Applicants should have interest in deep learning, natural language processing, semantics or computer vision. Join our community of scholars and experts in AI!