Program Overview

The Fusemachines AI Fellowship is a dynamic program created with a keen focus on training and upskilling engineering students, graduates and postgraduates to make them ideally suited for an AI career. First launched in 2017, each routinely updated program is episodically remodeled to offer innovative and up-to-date courses. The 2022 program offers Fusemachines’ proprietary Microdegree™ programs, with courses holding direct relevance to the AI field. Fellows will receive a Full Scholarship and a possible job placement opportunity after the successful completion of the program.

Course Summary

Cources

4 Courses

(3 months per course)

Cources

Online Live Lectures

Cources

Certification

Courses

Microdegree™ in AI

A Microdegree™ program for Artificial Intelligence is an accelerated blended learning program created by leading US university faculty members and AI industry experts with the aim to upskill participants with AI knowledge so they can confidently grasp further AI opportunities in the field.

Machine Learning

Machine Learning

Course Duration: 3 months

This course includes in-depth exploration and discussion on various ML workflows, techniques, and methods.

Deep Learning

Deep Learning

Course Duration: 3 months

The course on Deep Learning includes comprehensive exploration and discussion on various DL architectures, implementations, workflows, and techniques, and also the know-how on building, training, and deploying models efficiently.

Microdegree™ Specialization

The Microdegree™ Specialization program is an additional program consisting of courses on Computer Vision and Natural Language Processing. You have an option to take either the course on CV or NLP or both. The courses in this program can be accessed after the completion of the Microdegree™ in AI program.

Computer Vision

Computer Vision

Course Duration: 3 months

The course includes a thorough and methodical study of various CV concepts, such as image processing, feature detection, image classification, and object recognition.

Natural Language Processing

Natural Language Processing

Course Duration: 3 months

The course includes an in-depth inspection of, and discussions on, various NLP concepts, such as text normalization, classification, clustering, language modeling, parsing, information extraction, and machine translation.

Machine Learning

Program Outcomes

  • Develop a solid understanding of Artificial Intelligence, Machine Learning & Deep Learning algorithms while simultaneously developing an extensive knowledge of the underlying maths & code
  • Hone in the ability to select and implement appropriate algorithms, libraries, frameworks, & techniques for different problems
  • Develop aptitude to expertly assess, evaluate, design, and compare the performances of different models for an end-to-end pipeline deployment
  • Be able to run experiments & improve the algorithm

Placement Opportunities

After successful completion of the program, students may be recommended as ideal candidates for potential job placements.

Machine Learning

Prerequisites

3rd & 4th Year Engineering Students and Graduates who have sound knowledge of

  • Linear Algebra, Probability, Statistics, and Basic Calculus
  • Programming and Computer Science
  • Programming in Python

Academic Team

Our PhDs, seasoned AI industry experts, and faculty from top universities developed the curriculum and assessments to enable industry ready AI engineers.

Bülent Uyaniker, PhD
Bülent Uyaniker, PhD
Director of Academic Affairs, Fusemachines Inc.
Former faculty of Univ. of British Columbia
PhD, Max Planck Institute/Bonn University
Rojesh Man Shikharakar
Rojesh Man Shikharakar
Manager of AI Academics, Fusemachines Inc.
Rakesh Kumar Katuwal
Rakesh Kumar Katuwal
Manager of AI Development, Fusemachines Inc.

Fellowship Journey Fellowship Journey

Step 1
Online Application

Fill out and submit the Application Form with relevant details.

Step 2
Online Proctored Entrance Test

After your application is approved, you will sit down for an online entrance test for enrollment in the program.

Step 3
Interview of Shortlisted Candidates

Shortlisted candidates who passed the entrance test will be called for an interview.

Step 4
Enrollment and Onboarding

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

What our AI Fellows Say…

Program FAQs

The extent of AI use is widespread within modern and diverse economic and social bubbles, and this innovative trend will continue to swell every passing year. As such, the need for AI specialists is also simultaneously on the rise. The current market demand-and-supply of AI talent, however, is not on equal footing, with the demand surpassing the supply. Thus, a career in AI is extremely ripe for sowing and laden with many opportunities. Not to mention, the need for skilled AI professionals spans nearly every industry, from financial services, healthcare, technology, media, and marketing to government and military, national security, IoT-enabled systems, agriculture, gaming, and retail, to name a few. Also, designing AI systems that can take decisions by themselves is quite rewarding!

Yes, candidates will be succinctly equipped with all the necessary knowledge on AI and ML subjects and topics during the course of the program, and can then apply for various AI and ML positions after completing the courses.

The current market demand-and-supply status for AI talents is not on equal grounds; the demand for competent AI talent far outweighs the supply. This is true for both Nepal and abroad. Choosing a career in AI and ML will bag you a solid, secure future. According to a research outlook by S&P Global, AI-related jobs are cited as the second most sought-after career prospects. What’s more, the outlook for AI careers is also excellent, with the United States Bureau of Labor Statistics predicting a 13% jump in computer-related occupations between 2016 and 2026. The number of companies utilizing AI-enabled services is rapidly growing in Nepal as well, with different sectors, such as banking, finance, and healthcare, inviting AI and ML engineers, data analysts, and scientists to improve integrated systems with AI. Innovative sectors in the country using AI-enabled services include mobile and internet banking, online shopping portals, financial institutions, online and blended education sects, IT sectors, public service sectors, customer service sectors, automation in agriculture and healthcare, among others.

Yes, after successful completion of the program, deserving candidates will get job placement opportunities at Fusemachines.

The Microdegree™ in AI courses can be pursued by students and engineers who already possess basic Computer Science and Mathematics foundations. These prerequisites include basic knowledge of linear algebra, calculus, probability, and statistics. The program also requires programming experience in Python and know-how on the implementation of computer science algorithms and object-oriented programming. Participants should have the ability to run programs and interpret output from a command line terminal or shell. Ideally, students fitting the enrollment criteria generally include 4th year graduating students who check off the specifications. Prior to enrollment, students will be required to undergo an eligibility test to check if they have enough foundational skills to take the course. Additionally, you can also choose to pursue either or both of the courses in the Microdegree™ Specialization program after the completion of the Microdgeree in AI program.

After the completion of the courses in the program, you will have a solid understanding of Machine Learning and Deep Learning algorithms, to select and apply appropriate algorithms, libraries, and frameworks techniques for different AI problems and assess the performance, evaluate and compare different AI models to design and deploy end-to-end pipelines. You will also be able to run experiments to change code details to improve the algorithm.

Yes, students will be required to do certain project works pertaining to each course. Some of the project works include:
Machine Learning
  • Price Prediction
  • Airbnb Guest Arrival Prediction and
  • KNN on Wine dataset among others
Deep Learning
  • Sales Prediction
  • Image Classification using CNN and
  • Machine Translation among others
Computer Vision
  • Image Manipulation
  • Image editing and Denoising and
  • Image Segmentation among others
Natural Language Processing
  • Keywords Extraction
  • Web of science multiclass classifications and
  • Sentence Generation among others

The total duration of the program is 1 year. The Microdegree™ in AI program is the primary compulsory program, lasting 6 months, with 2 courses that last 3 months each. Students can then choose to further pursue the Microdegree™ Specialization program after the completion of the primary program. The Microdegree™ Specialization program consists of 2 courses as well, lasting 3 months each.

These courses are not university-accredited courses. They are provided by Fusemachines and are recognized by many other organizations.

  • Linear Algebra
  • Multivariate Calculus
  • Probability and Statistics
  • Python Programming