Aws: Machine Learning Foundations

Machine learning is one the fastest growing areas of technology. This is a growing area of technology that is becoming more important for businesses as well as our daily lives, which has created a great demand for skilled professionals.

This is why it's so important to be able to create and deploy machine learning models in the cloud. This microcredential will teach you the basics of machine learning. It will help you to keep up with your career growth and help you advance.

This microcredential will help you to pursue a career as a machine learning engineer.

This course will provide a thorough introduction to machine learning concepts and the processes involved. This course is ideal for beginners who want to learn about machine learning on AWS.

This microcredential will last for 10 weeks. You'll be able to implement a machine learning process using Amazon SageMaker by the end.

As you learn how to solve business problems using managed AWS machine-learning services, you will also be able to forecast computer vision and natural processing. You'll also understand how to evaluate the ethical implications of machine learning models. AWS services will teach you how to build, train, and deploy your own machine learning model.

You'll learn industry-recognized skills from The Open University's AWS Academy and get insights from experts to help you put these concepts into practice.

You'll learn through guided academic learning in an online learning environment. Mentor support is available and you can share your thoughts and experiences with others learners. This will help you get your AWS certification and launch your career in cloud computing.