Fusemachines AI Fellowship 2023

A year-long program to train, educate, and help create advanced AI career opportunities
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Full Scholarship and Job Opportunities
Supported by UKAID SIP

Application deadline : December 15, 2022

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AI Fellowship

About AI Fellowship Program

The Fusemachines AI Fellowship is a dynamic course created specifically to keep it to train and upskill deserving and driven students with proven knowledge and skills in computer science and mathematics. First launched in 2017, each routinely updated program is episodically remodeled to offer innovative and up-to-date courses relevant to its time. The 2023 program offers Fusemachines’ own 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.

Download Syllabus
Placement Opportunities

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

Machine Learning
Prerequisites

4th-year students, graduates, or professionals who have sound knowledge of:

  • Linear Algebra, Probability, Statistics, and Basic Calculus
  • Python programming and basics of Computer science
Why join Fusemachines AI fellowship program?
  • Full scholarship covering the entirety of the program once selected
  • Dedicated academic team of highly qualified and experienced Instructors and engineers
  • Program designed for independent self-paced immersive learning
  • Industrial AI exposure through sessions with industry experts and real-world assignments
  • Networking opportunities with peers, AI professionals, and the alumni community
  • Placement opportunities for graduates at Fusemachines and beyond
Apply Now
Program Summary
Cources
4 Courses

(3 months per course)

Cources
Online Live Lectures & Discussions
Cources
AI Enabled Platform
Cources
Group Projects and Competitions
Cources
AI Community Forum
Cources
Certificate of Completion
Cources Banner Images
Courses

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

Download Syllabus

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.

Academic Team

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

Machine Learning
Sameer Maskey, PhD
Founder and CEO,
Fusemachines Inc.
Adj. Associate Professor, Columbia University
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
Machine Learning
Suresh Manandhar
Head of AI Research,
Fusemachines
Honorary Professor in Artificial Intelligence, Madan Bhandari University of Science and Technology Board, Nepal
Formerly Head of Artificial Intelligence Research Group, University of York, UK
Rojesh Man Shikharakar
Rojesh Man Shikharakar
Manager of AI Academics, Fusemachines
Rakesh Kumar Katuwal
Rakesh Kumar Katuwal
Manager of AI Development, Fusemachines
Instructors
Mahendra Singh Thapa
Mahendra Singh Thapa
Assistant Manager, AI Research,
Fusemachines
Miran Ghimire
Miran Ghimire
Sr. Machine Learning Engineer, AI Research,
Fusemachines
Kiran Prajapati
Kiran Prajapati
Machine Learning Engineer, AI Research,
Fusemachines
Pramesh Gautam
Pramesh Gautam
Sr. Machine Learning Engineer, AI Research,
Fusemachines
Bijaya Khadka
Bijaya Khadka
Machine Learning Engineer,
Fusemachines
Kushal Dhakal
Kushal Dhakal
Machine Learning Engineer,
Fusemachines
Prakash Chaudhary
Prakash Chaudhary
Former ML Engineer at Fusemachines
Graduate Research Assistant at University of Alabama in Huntsville
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 designed to evaluate your foundational skills 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 state of market demand-and-supply for AI talent is such that the demand for competent AI talent far outweighs the supply. This is true both in and outside Nepal. Choosing a career in AI and ML will ensure a promising future. According to a research 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.

  1. Linear Algebra
  2. Multivariate Calculus
  3. Probability and Statistics
  4. Python Programming and Common Libraries
  5. Computer Science Concepts such as Data Structures, and Algorithms
Limited seats available for the program!
Apply Now