Fusemachines AI Fellowship 2023


Latin America

A comprehensive six-month course to help you in advancing your career to the next level.
Applications are now closed
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Program FAQs

The exam has been rescheduled for Monday, August 7th. You can complete the 1-hour online exam anytime before 11:59 pm EST. Good luck!

All applicants will receive a temporary password and user ID to access the Fuse Classroom platform. In case you haven't received your credentials, please check your spam folder or search for the subject line “Welcome to Fuse Classroom.” If you have any questions, feel free to contact Joey, our LATAM Coordinator, at joey@fusemachines.com. We're here to assist you!

Great news! We've set up group channels on WhatsApp and Telegram. Join now to receive the latest LIVE updates! And feel free to reach out to our team if you have any questions or concerns. Looking forward to seeing you there! 😊

There are 50 questions that need to be answered within 1 hour.

Access the Fuse Classroom platform and log in to explore study materials. For a step-by-step guide on using our platform, watch this video tutorial. It will walk you through everything you need to know.
In case you haven't received your credentials, please check your spam folder or search for the subject line “Welcome to Fuse Classroom.” If you have any questions, feel free to contact Joey, our LATAM Coordinator, at Joey@fusemachines.com. We're here to assist you!

Multiple choice questions based on the pre-requisites of the program. Practise exam questions are available on the Fuse Classroom platform.

Topics based on the pre-requisites such as Python, NumPy, pandas, Matplotlib, basic CS, REST API, SQL, probability, statistics, basic calculus, and linear algebra.
Hear what our fellows have to say about the program

About AI Fellowship Program

The Fusemachines AI Fellowship is a dynamic 6 month course, held mostly online, designed by leading global AI and tech experts. The course is created to upskill AI students and professionals, provide hands-on experiences and real-world AI applications.

The program is updated yearly to offer the most advanced tools that reflect the needs of the growing market. This year, fellows are not only offered a full scholarship and a Microdegree™, but also career opportunities at top tech companies around the world.

AI Fellowship
  • Full scholarship
  • Job placement opportunities
  • Microdegree™ in AI certification
Certified Fusemachines AI Fellows in USA, Nepal, Dominican Republic, Rwanda, Burkina Faso
Post-fellowship outcomes

Course overview

Course Overview
The Fusemachines AI Fellowship Program is a Microdegree™ program for Artificial Intelligence created by leading US university faculty members and AI industry experts.
It is designed to upskill in AI and Data Science expertise for a promising career in AI. Over the course of 6 months, participants will:
  • Attend weekly expert lectures
  • Learn how to clean, map and analyze data
  • Work through various learning modules to upskill in AI
  • Learn about machine mearning, deep learning and the math and data science that makes them work
  • Complete group and independent projects
  • Complete real-world projects

Syllabus highlights


Generative AI

  • Large language models (LLMs)
  • Image generations
  • Prompt engineering

Machine Learning

  • Regression
  • Classification
  • Clustering
  • Performance metrics
  • Reinforcement learning

Computer Vision

  • Object detection
  • Image segmentation
  • Image generation

Natural Language Processing

  • Text extraction
  • Named entity recognition (NER)
  • Sentiment analysis

Neural Network and Deep Learning

  • Artificial neural networks
  • TensorFlow/PyTorch
  • Training, evaluating and fine tuning models
  • CNNs, RNNs, GANs and SOTA models
  • Deep reinforcement learning


  • Deployment
  • Monitoring
  • ML as a service
What's included
Courses taught by industry experts
Access to AI-enabled education platform & community
Weekly guest lectures on hot topics
Weekly newsletter on trending news
Opportunity to work with other students during group projects
Student community forum and collaboration opportunities
Certificate of completion

AI Fellowship journey

AI Fellowship
Step 1
Online application
Deadline: July 30 2023

Please fill out the application form with all required information and submit it

Step 2
Online entrance exam
August 7 2023

Take the online entrance exam to assess relevant skills

Step 3
Online interview
August 14-18 2023

Shortlisted candidates passing the entrance exam will be interviewed by a member of our team

Step 4
Enrollment and onboarding
August 28 2023

After a successful interview, you will be enrolled and onboarded into the program


The AI Fellowship is geared towards engineering students, IT students in their final year of education, and graduates and professionals with a background in computer science and IT.

Those hoping to participate in the program must:
  • Have taken courses on linear algebra, probability, statistics and basic calculus
  • Have taken some programming and computer science courses
  • Have python programming skills
  • Be proficient in English
  • Work well with others, be a good communicator and have a positive learning attitude
All applicants will be asked to complete an entrance exam to assess whether they have the skills needed to participate in the program. Students will be tested on:
  • Programming (specifically python programming)
  • Linear algebra, calculus, probability and statistics
  • IQ and problem-solving
Machine Learning

Why join our AI Fellowship?

  • Take courses designed and taught by leading AI experts
  • Master AI foundations including Generative AI
  • Join a community of global AI leaders, professionals and fellow alums
  • Specialize in your field by becoming an AI expert
  • Advance your career to build financial independence
  • Become a leader in your industry and make a lasting impact
  • Be a part of our mission to #DemocratizeAI
Program leaders

Our PhDs, AI industry experts and faculty from top universities around the world designed the course to provide advanced AI skills, career opportunities, and a lasting impact.

Machine Learning
Sameer Maskey, PhD
Founder and CEO,
Fusemachines Inc.
Adj. Associate Professor, Columbia University
Bülent Uyaniker, PhD
Bülent Uyaniker, PhD
Sr. Data Scientists,
Fusemachines Inc.
Former faculty of Univ. of British Columbia
Machine Learning
Suresh Manandhar
Head of AI Research,
Formerly Head of Artificial Intelligence Research Group, University of York, UK
Rakesh Kumar Katuwal
Rakesh Katuwal, PhD
Director of AI services,
Rojesh Man Shikharakar
Rojesh M. Shikharakar
Sr. Manager Tech Talent Development, Fusemachines
Visiting Faculty at Kathmandu University, Nepal
Aakanchya Malla
Aakanchya Malla
AI Fellowship Program Coordinator,
Anjil Adhikari
Anjil Adhikari
ML Engineer, Fusemachines
BE Electrical
Bijaya Khadka
Bijaya Khadka
ML Engineer, Fusemachines
Visiting Faculty Apex College, Nepal