MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
This means there is a unique and immediate opportunity for you to get started with learning the essential ML concepts that are used to build AI applications – no matter what your skill levels are. Learning the foundations of ML now, will help you keep pace with this growth, expand your skills and even help advance your career.
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.
Syllabus
WEEK 1: Introduction to Machine Learning
WEEK 2: Machine Learning Pipeline
WEEK 3: Amazon AI Services: Computer Vision
WEEK 4: Amazon AI Services: NLP
WEEK 5: Introduction to Amazon SageMaker
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.