Certificate in Machine Learning

Take your skills beyond code. Learn to use project management principles to plan and execute machine learning solutions, helping to make positive change in the world of business.

You will work on multiple machine learning projects of various scales that capture the entire machine learning life cycle. You will work with both structured and unstructured data and with various supervised, unsupervised and reinforcement learning algorithms. These projects allow you to build upon your technical skills while gaining a holistic understanding of machine learning as it relates to current and relevant problems facing businesses.

You will develop key cross-functional business and communication skills that will allow you to build a business case to support the implementation of machine learning solutions in various industries and use project management principles to plan and execute a machine learning solution. You will also Use Python (and other languages) to create, implement and test machine learning algorithms in real-world scenarios.

What You’ll Learn

• Describe the major business use cases of machine learning in various industries and how it provides monetary and other value to respective entities.
• Assess the appropriateness of various techniques in identifying machine learning solutions to business problems with highest efficiency and least resources.
• Develop a comprehensive plan for a machine learning project that incorporates principles from different project management methodologies.
• Prospect the feasibility of a machine learning solution being successful by comparing the data requirements with available and usable data.
• Select machine learning models within supervised, unsupervised and reinforcement learning paradigms that map to specific business cases and challenges.
• Design the various evaluation metrics and procedures required for model selection and explain the business rationale for use of the selected model.
• Create, implement and test machine learning algorithms in various real-world scenarios using Python and other languages and frameworks.
• Assess developments in artificial intelligence for ethical and public policy considerations as they relate to data privacy and protection, profiteering with meta-data, and various social and civic issues.
• Present a business case for implementation of a selected machine learning solution that communicates the potential value-add, and using accessible language.

Admission Requirements

• The Certificate in Machine Learning is for anyone with at least a second year undergraduate level understanding of linear algebra, calculus, probability and inferential statistics and with experience in Python or other programming languages.