Presents
Full Scholarship and Placement Opportunities
4 Courses
3 months per course
Online Live Lectures
Certifications
MicrodegreeTM in AI 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.
Course Duration: 3 Months
The Machine Learning course in the MicrodegreeTM in AI program includes in-depth exploration and discussion on various ML workflows, techniques, and methods.
Course Duration: 3 Months
The Deep Learning course in the MicrodegreeTM in AI program includes comprehensive exploration and discussion on various DL methods, types, implementations, workflows, and techniques, and also the know-how on building and training models.
The MicrodegreeTM Specialization is an additional program consisting of courses on Computer Vision and Natural Language Processing. Participants 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 MicrodegreeTM in AI program.
Course Duration: 3 Months
The Computer Vision (CV) course in the MicrodegreeTM Specialization program includes in-depth exploration and discussion on various CV workflows, techniques, and methods.
Course Duration: 3 Months
The Natural Language Processing (NLP) course in the MicrodegreeTM Specialization program includes in-depth exploration and discussion on various NLP types, workflows, techniques, and methods, as well as learning how to create NLP pipelines and the development and evaluation of models.
Must be final year Bachelor students or graduates
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
Develop a solid understanding of Machine Learning and Deep Learning algorithms and gain a good grasp of underlying mathematics and coding concepts
Select and implement appropriate algorithms, libraries, and frameworks for different types of problems
Assess the performance, evaluate and compare different AI models to design and deploy end-to-end solutions
Run experiments to improve existing algorithms
Placement Opportunities
After successful completion of the program, students may be recommended as ideal candidates for potential job placements and future opportunities. Selected candidates will also have the opportunity to work with H&M Group’s Global Data Science team with possible relocation.
Our PhDs, seasoned AI industry experts, and faculty from top universities developed the curriculum and assessments to enable industry ready AI engineers.
Manager of AI Academics
Assistant Manager, AI Research
Sr Machine Learning Engineer
Founder and CEO, Fusemachines Inc.
Adj. Assoc Professor, Columbia University
Director of Academic Affairs, Fusemachines Inc.
Former faculty of Univ. of British Columbia
PhD, Max Planck Institute/Bonn University
Head of AI Research, Fusemachines Inc.
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
Fill out our online form and apply for the program. It will only take about a minute!
After your submitted form has been reviewed, you will have to sit for an online entrance examination to be eligible for enrollment in the course.
Interviews will be conducted for shortlisted candidates before enrollment.
Full scholarship are available for candidates who excel at the entrance exams and interviews.
You’ll be one of the few selected applicants to secure a coveted spot that will help accelerate your AI career track. Congratulations!
Fuse Classroom, an AI-enabled education platform makes it easy to access course materials and other learning resources at any time and place. AI-enabled features of Fuse Classroom also make the various learning processes easy and convenient for all involved, with interactive online learning, data-driven methods to engage instructors and students, and a smart Learning Management System.
Learn more about Fuse Classrooom
The MicrodegreeTM 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. H&M Group employees can apply and will be required to take the entrance exam. 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 MicrodegreeTM Specialization program after the completion of the MicrodgereeTM in AI program.
After the completion of the courses in the program, you will develop a solid understanding of Machine Learning and Deep Learning algorithms, with an advanced understanding of underlying concepts of math and coding. You will be able to then 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. 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 varies from 6 months to 1 year. The MicrodegreeTM 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 MicrodegreeTM Specialization program after the completion of the primary program. The MicrodegreeTM Specialization program consists of 2 courses as well, lasting 3 months each.
Machine Learning (3 Months) Deep Learning (3 Months) Computer Vision (3 Months) Natural Language Processing (3 Months)
The sessions will be held from 5pm - 7pm (BST) every Tuesday and Friday.
These courses are not university-accredited. They are provided by Fusemachines Inc. and are recognized by H&M and many other organizations.