Overview
AWS - Machine Learning Foundations Microcredential at FutureLearn will introduce you to the concepts, terminology, and processes of machine learning so that you gain a comprehensive understanding. It’s ideal if you’re a beginner and want to learn the fundamentals of machine learning on AWS.
Become confident in selecting and applying machine learning services using Amazon SageMaker
By the end of this 10-week microcredential, you’ll be capable of implementing a machine learning pipeline using Amazon SageMaker.
You’ll learn how to resolve business problems as you understand how to use managed AWS machine learning services for forecasting, computer vision and natural language processing, and to evaluate the limits of machine learning models and their ethical implications. You’ll also know how to label, build, train, and deploy a custom machine learning model using AWS services.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- AWS: Machine Learning Foundations
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 months
Start dates & application deadlines
- every few months
Language
Credits
Delivered
Disciplines
Computer Sciences Machine Learning View 142 other Short Courses in Computer Sciences in United KingdomExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
To study this undergraduate microcredential you will ideally have:
General IT technical or business knowledge
Experience of scripting with Python, JSON or equivalent
A basic understanding of statistics
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
604 USD/fullTuition FeeBased on the tuition of 604 USD for the full programme during 2 months. -
National
604 USD/fullTuition FeeBased on the tuition of 604 USD for the full programme during 2 months.