Machine Learning Course (3 Modules)

The Machine Learning course is comprised of three modules that introduce Machine Learning concepts and applications and then cover common Machine Learning analysis and analytics techniques, models and algorithms, as well as Machine Learning processing environments.

Each module has a set of lessons and is further supplemented with exercises and practice questions to help reinforce your understanding of key topics. Completing this course also prepares you for the official certification exam, as explained on the Machine Learning Specialist Certification page.

Further resources are available to assist you with the completion of this course and preparation for the certification exam. These include downloadable digital course PDFs, printed course materials that can be shipped to your location, as well as coaching and instructor-led training services available by Arcitura and its training partner network. You can purchase coaching time on an hourly basis and instructor-led training workshops are available for individuals and groups.

This course is available via two separate eLearning platforms, each of which has different features and benefits. Upon clicking the Enroll button, you will be able to choose the eLearning option that works best for you.

Contact [email protected] with any questions.

Program: Next-Gen Data Science Academy

Prerequisites: None

Duration: 30 hours

Price: from $29

Corresponding Certification:
Machine Learning Specialist

Inquire About Instructor-Led Training for Your Team

Workbook Lessons

Video Lessons

Reference Posters

Interactive Exercises

Graded Self-Test

Completion Certificate

Course Modules

MODULE 7 | Fundamental Machine Learning
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 8 | Advanced Machine Learning
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 9 | Machine Learning Lab
Provides a series of exercises and problems designed to test your ability to apply your knowledge of topics covered in previous course modules. 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.