This course
Core Artificial Intelligence & Machine Learning
Price to be set
One course from the outline.
Supervised and unsupervised learning, neural networks and model tuning.
Train and tune machine learning models with libraries such as scikit-learn.
Understand how neural networks and modern AI models work, and when to use them.
This course feeds the program's Machine Learning Pipeline portfolio piece.
Train, tune and compare several machine learning models, then package the best one for reuse.
Skills shown
This course prepares fellows for this industry certification. Exams are taken with the certifying body, and exam fees are paid separately.
Microsoft
Prepared in
In data science, employers weigh a portfolio of real models and analyses more heavily than certifications. The five projects are designed to provide that portfolio.
No coding experience is needed. Comfort with secondary-school maths helps, as the program builds on it quickly.
Good written and spoken English.
A laptop or desktop computer with at least 8 GB of memory and a reliable internet connection. A phone or tablet alone is not enough for the tools used.
Study from anywhere, on your own schedule, through the FairChild learning portal.
Every course ends with practical work, and the projects build a portfolio employers can review.
Finish in 6 months on the accelerated track or spread the work over 12 months.
Connect with other FairChild fellows working through the same courses.
Pair the program with Guided Mentorship & Career Development, or join through the FairChild Fellowship, for interview preparation and career coaching.
This course
Price to be set
One course from the outline.
Full program
$7,500
All 8 courses, all projects, 6- or 12-month access.
Our mentors aren't just teachers. They're practitioners solving real problems with data every day.