
Certified Machine Learning Specialist
A Certified Machine Learning Specialist has demonstrated proficiency in machine learning methods, models and algorithms and can design scalable machine learning systems capable of solving complex business problems.

About The Certification
The Machine Learning Specialist track is comprised of three courses that develop skills in Machine Learning practices, models and algorithms, as well as Machine Learning systems that can perform a range of data analysis processing tasks. The final course module consists of a series of lab exercises that require participants to apply their knowledge of the preceding courses in order to fulfill project requirements and solve real world problems. Completion of these courses as part of a virtual or on-site workshop results in each participant receiving an official Digital Certificate of Completion, as well as a Digital Training Badge from Acclaim/Credly. To achieve the Machine Learning Specialist Certification, Exam ML90.01 must be completed with a passing grade.
A Certified Machine Learning Specialist understands how and where Machine Learning techniques are best utilized to produce business value. Machine Learning algorithms and system design are of second nature to the Certified Machine Learning Specialist, who further possesses in-depth knowledge of model learning approaches, analysis practices and patterns.
Buy a single module for $99 USD OR buy the certification training bundle and get a 20% discount of the total training cost if bought individually. Exam Costs are not included.
Certification Exams need to be purchased separately.
Machine Learning Certification Training Courses

Module 1: Fundamentals of Machine Learning
This module provides an easy-to-understand overview of machine learning for anyone interested in how it works, what it can and cannot do and how it is commonly utilized in support of business goals. The course covers common algorithm types and further explains how machine learning systems work behind the scenes. The base course materials are accompanied with an informational supplement covering a range of common algorithms and practices.

Module 2: Advanced Machine Learning
This module delves into the many algorithms, methods and models of contemporary machine learning practices to explore how a range of different business problems can be solved by utilizing and combining proven machine learning techniques.

Module 3: Machine Learning Lab
This module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will help highlight areas that require further attention and will further prove proficiency in machine learning systems and techniques, as they are applied and combined to solve real-world problems.