Certificate in Machine Learning
Description
Take your skills beyond code. Learn to use project management principles to plan and execute machine learning solutions, driving positive change in the world of business.
What you will learn
In this part-time Certificate in Machine Learning, you will learn to implement intelligent automation through expertise in areas of mathematics, project management, and communications. In this program you will:
- Work on multiple projects of various scales that capture the entire machine learning life cycle
- Work with both structured and unstructured data with various supervised, unsupervised, and reinforcement learning algorithms
- Gain a holistic understanding of machine learning as it relates to current and relevant problems facing businesses
- Use Python (and other languages) to create, implement, and test machine learning algorithms in real-world scenarios
- Develop cross-functional business and communication skills to plan and execute machine learning solutions
Program Benefits
- Curriculum developed in collaboration with leading machine learning experts
- Learn from industry professional instructors
- Participate in experiential learning opportunities
- Advance through program with the same cohort of peers and build your professional network
- Complete the program in just 8 months
All 4 courses in the program must be successfully be completed to earn the Certificate.
COURSES
CSML1000 Machine Learning in Business Context
CSML1010 Applied Machine Learning and Lifecycle
CSML1020 Machine Learning at Scale
CSML1030 Machine Learning Capstone
COURSES
CSML1000 Machine Learning in Business Context
CSML1010 Applied Machine Learning and Lifecycle
CSML1020 Machine Learning at Scale
CSML1030 Machine Learning Capstone
Note: Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.
Overview
- Institution: York University
- Program type: Certificate
- Language: English
- Program Code: PR0017
- Delivery Method: Fully Online/Distance
Disclaimer:
Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.
Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.