Fusemachines AI Education Program
Santo Domingo, Dominican Republic
Applications are now closed! Stay tuned for further updates.
Course Summary
6 Courses
(3 months per course)
Applications are now closed! Stay tuned for further updates.
(3 months per course)
Fusemachines offers Foundation and Microdegree™ programs in AI for students and engineers who want to build a career in this field. Our PhDs, seasoned AI industry experts, and faculty from top universities developed the curriculum and assessments to enable industry ready AI engineers.
The Foundations in AI courses are created with the aim to enable students and engineers to build a strong AI base so as to begin their AI careers, the Foundations in AI courses by Fusemachines offer rudimentary mathematical concepts of linear algebra, calculus, statistics, and Python programming language.
Course Duration: 3 months
Course Duration: 3 months
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.
Course Duration: 3 months
Learn to build classification, regression, and clustering models using scikit-learn and other tools
Course Duration: 3 months
Learn the mathematical basis of deep learning. You will then learn to implement concepts such as multilayer perceptrons, backpropagation, optimization methods, and neural networks into a production-grade systems.
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.
Course Duration: 3 months
This course includes in-depth exploration and discussion on various CV workflows, techniques, and methods.
Course Duration: 3 months
This course 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.
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