AI Program for Aspiring Engineers

Become an AI Engineer

Fusemachines AI Schools are dedicated to providing the programs and resources
aspiring engineers need to launch their AI career.

Story from our AI Fellows

Our students have worked with companies such as:

Learning Path

Students first take an Eligibility Test to be placed into the MicrodegreeTM in AI Program or the Foundations in AI Program, either with or without the CS course. Students who have completed MicrodegreeTM in AI can apply for MicrodegreeTM Specialization courses.
Learning Path

Foundations in AI

The Fusemachines Foundations in AI is designed to enable students and engineers to begin their AI education suitable for any industry. This course provides a strong foundation in mathematical concepts of linear algebra, calculus, statistics, and Python programming language. This course also provides the foundation required to continue on to Fusemachines’ MicrodegreeTM Program in Artificial Intelligence.


Introduction to
Computer Science for AI
Introduction to
Mathematics for AI

Who should Enroll

  • Students with basic knowledge of computer science and mathematics.
  • Students who have completed their intermediate level of education.
I’d recommend the Fusemachines educational program to anyone who has an interest in AI and wants to pursue it as a career option.

One Harrison

Software Engineer, Listenfirst


  • Design, implement, test, debug, and document programs in Python
  • Understand different concepts related to computer science required for AI
  • Build strong programming and mathematical foundations to take advanced AI courses
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MicrodegreeTM in AI

A MicrodegreeTM program for Artificial Intelligence is an accelerated learning program in Artificial Intelligence. The MicrodegreeTM program is created by the leading US university faculty members and AI industry experts. It is specifically designed to upskill an engineer with AI expertise.



Who should Enroll

  • Basic knowledge of linear algebra and calculus.
  • Knowledge of probability and statistics.
  • Programming experience in Python.
  • Experience implementing computer science algorithms and object-oriented programming.
  • The ability to run programs and interpret output from a command line terminal or shell.


  • Ability to rapidly produce prototype machine learning models using most of the common ML libraries such as Tensorflow, Scikit Learn with a deep understanding of the underlying concepts.
  • Deep understanding of all topics covered in 4 courses including their mathematical concepts.
  • Ability to read academic journals and implement classical to state-of-the-art ML algorithms.
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Fusemachines’ educational program was a stepping stone for me in the field of AI, which has helped me polish my AI knowledge and grow professionally as an AI Engineer.

Shreesha Pokharel

ML Engineer

Microdegree Specialization

MicrodegreeTM Specialization

The Fusemachines’ MicrodegreeTM Specialization is in-depth learning courses in Computer Vision and Natural Language Processing. The courses are specifically designed to upskill an AI engineer. Engineers can choose to specialized in one or both the courses and will get certifications upon the successful completion.

Natural Language

Key Features


Our proprietary coding platform allows students to work and submit their assignments online and provides access to dedicated GPU servers.

Fusemachines’ Teaching
Pedagogy Training

Fusemachines trains instructors to facilitate student learning rather than lecture them. This style keeps students engaged and doesn’t impede their learning.

Student Progress Tracking

Our platform includes a dashboard for admins to see how far along each student is both overall and within each AI module.


Students receive an industry recognized certificate for each AI program that they complete.

Additional Features

Global Forum for AI students to share their ideas
Free access to Fusemachines AI events

Ready to start your career in AI?