Getting Started with AWS Machine Learning

More information about this Course

In today’s job market, machine learning (ML) is one of the fastest growing technology fields and a highly sought-after skill set. According to the World Economic Forum, the growth of artificial intelligence (AI) could lead to the creation of 58 million net new jobs in the coming years. On the other hand, it is estimated that there are currently 300,000 AI engineers all over the world, but millions more are required. This indicates that you have a one-of-a-kind and immediate opportunity to begin learning the fundamental ML concepts used to build AI applications, regardless of your skill level. You can keep up with this growth, improve your skills, and even help advance your career by learning the fundamentals of ML now.

This course will teach you how to get started with AWS Machine Learning. Key topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each topic consists of several modules deep-diving into variety of ML concepts, AWS services as well as insights from experts to put the concepts into practice.

What you will learn

Key problems that Machine Learning can address and ultimately help solve.
How to build intelligent applications using Amazon AI services like Amazon Comprehend, Amazon Rekognition, Amazon Translate and others.
How to build, train and deploy a model using Amazon SageMaker with built-in algorithms and Jupyter Notebook instance.
Sneak peek into AWS DeepLens – The world’s first deep learning enabled video camera for developers.