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Machine Learning Course (3 Module Bundle)

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 to help reinforce your understanding of specific topics. Upon completing the course, you can proceed to take an online self-test. After passing the self-test you will receive an official digital Certificate of Completion and will also be provided with the option to order a digital Training Badge from Acclaim/Credly. Passing the self-test also prepares you for the official certification exam, as explained on the Machine Learning Specialist Certification page. A separate Exam Prep Kit with more sample questions can also be ordered.

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

Contact [email protected] with any questions.

Program:
Next-Gen Data Science Academy

Prerequisites:
None

Duration:
30 hours

Corresponding Certification:
Machine Learning Specialist


Enroll

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.