AWS: Machine Learning Foundations – Machine Learning Course – FutureLearn
Develop highly sought-after skills to design and deploy machine learning models on the cloud with the AWS Academy Machine learning is one of the most rapid and evolving growth areas in technology today Its becoming increasingly important to businesses and in our everyday lives creating a huge demand for skilled professionals Thats why the ability to design and deploy machine learning models on the cloud is a sought-after skill set On this microcredential youll learn the fundamentals of machine learning to help you keep pace with this growth upskill and help advance your career Learn how machine learning works using Amazon Web Services This microcredential is designed to help you pursue a career in machine learning engineering It will introduce you to the concepts terminology and processes of machine learning so that you gain a comprehensive understanding Its ideal if youre 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 youll be capable of implementing a machine learning pipeline using Amazon SageMaker Youll 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 Youll also know how to label build train and deploy a custom machine learning model using AWS services Develop your machine learning expertise with The Open University in collaboration with the AWS Academy Designed by leading experts from The Open Universitys AWS Academy youll develop industry-recognised skills and gain insights from experts to put the concepts into practice Through guided academic learning in a supportive online learning environment youll have mentor support and share thoughts and experiences with other learners helping you launch your AWS Certification journey and career in cloud computing Deploying machine learning models Reflecting on the ethical challenges of machine learning Hyperparameter tuning for model optimisation Using machine learning for computer vision Using machine learning for natural language processing Using machine learning for forecasting Develop highly sought-after skills to design and deploy machine learning models on the cloud with the AWS Academy Describe machine learning Implement a machine learning pipeline using Amazon SageMaker Use managed AWS machine learning services for forecasting Use managed AWS machine learning services for computer vision Use managed AWS machine learning services for natural language processing Critically evaluate the limits of machine learning models and their ethical implications
