Applied Machine Learning: Projects in Practice Certificate

This certificate is designed for individuals who want to demonstrate their ability to manage comprehensive machine learning projects from start to finish. Through this program, you’ll apply key supervised machine learning concepts in a real-world project setting, covering the entire machine learning lifecycle—data preparation, model tuning, and effective team collaboration.

Upon completion of this certificate, you’ll have completed the Hands-On Machine Learning Capstone, showcasing your skills in managing machine learning tasks from inception to execution.

This certificate emphasizes real-world, practical experience, preparing you to tackle complex machine learning challenges in today’s fast-paced environments. Whether you’re already working in data science, business intelligence, operations, or a related field, or looking to advance or pivot your career, the Machine Learning Project Specialist Certificate will give you the skills and confidence to excel in the rapidly evolving fields of AI and machine learning.

Successfully complete the Machine Learning Practitioner Certificate and the Hands-On Machine Learning Capstone course to receive the Applied Machine Learning: Projects in Practice certificate.

Save 15% when you enrol all four courses at the same time! See Bundle Discounts

Successfully complete the Machine Learning Practitioner Certificate and the Hands-On Machine Learning Capstone course.

Machine Learning Practitioner Certificate

Hands-on Machine Learning Capstone

Professionals from every level or industry who work with analytics or data, such as:
- Business associates, operations managers, project managers, and intelligence analysts.
- Finance, securities, and insurance professionals.
- Digital marketing and communication specialists.
Programmers and developers looking to add Python to their list of programming languages.
Statisticians who are new to machine learning.
Current or aspiring data analysts or data scientists looking to build a machine learning portfolio.
Data professionals looking to add machine learning techniques to their domain.
Individuals with basic knowledge in programming and mathematics who want to expand their machine learning knowledge and skills.

A degree in Engineering, Mathematics, or Computer Science is recommended, but not required. Basic knowledge of programming and programming languages is strongly recommended.

Applied Machine Learning: Projects in Practice Certificate

This certificate is awarded to students who have successfully applied supervised machine learning concepts in a comprehensive project. It highlights their ability to manage real-world machine learning tasks, from inception to completion, including data preparation, model tuning, and team collaboration.

Learners will receive this certificate upon successful completion of the Machine Learning Practitioner Certificate and the Hands-On Machine Learning Capstone course

Machine Learning Practitioner Certificate	This three-course program gives you the opportunity to learn from experts about Python, supervised and unsupervised machine learning, neural networks, and practical machine leraning applications.	Basic coding skills in any programming language are required, or completion of Python for Machine Learning: The Essential Starter Kit (or equivalent knowledge). Basic knowledge of statistics may be helpful but is not required.
Hands-on Machine Learning Capstone	Apply machine learning techniques to real-world problems. Implement a complete machine learning project using Python and relevant libraries from inception to presentation.	Completion of the Machine Learning Practitioner Certificate is required prior to this course. Completion of Unsupervised Machine Learning course may be helpful.

Machine Learning Practitioner Certificate

This three-course program gives you the opportunity to learn from experts about Python, supervised and unsupervised machine learning, neural networks, and practical machine leraning applications.

Basic coding skills in any programming language are required, or completion of Python for Machine Learning: The Essential Starter Kit (or equivalent knowledge).
Basic knowledge of statistics may be helpful but is not required.

Hands-on Machine Learning Capstone

Apply machine learning techniques to real-world problems. Implement a complete machine learning project using Python and relevant libraries from inception to presentation.

Completion of the Machine Learning Practitioner Certificate is required prior to this course.
Completion of Unsupervised Machine Learning course may be helpful.

Headshot of mehrdad pirnia

Mehrdad Pirnia

Continuing Lecturer, Management Sciences, Faculty of Engineering | Program Author

Dr. Mehrdad Pirnia is a faculty member at the University of Waterloo, Department of Management Sciences. Before joining Waterloo, he worked full-time in California ISO and ALSTOM Grid. He also did an internship at Federal Energy Regulatory Commission (FERC) during his PhD program. 

Dr. Pirnia received his Ph.D. degree from University of Waterloo in 2014 in Electrical and Computer Engineering (Power Systems Optimization). The focus of his research is on applying AI, optimization, and stochastic techniques to enhance the operation and planning of energy systems.

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