Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it’s estimated that currently there are 300,000 AI engineers worldwide, but millions are needed. 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.
von


Getting Started with AWS Machine Learning
Amazon Web ServicesÜber diesen Kurs
Was Sie lernen werden
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.
Kompetenzen, die Sie erwerben
- Artificial Intelligence (AI)
- Machine Learning
- Amazon SageMaker
- Natural Language Processing (NLP)
- Computer Vision
von

Amazon Web Services
Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence, security, hybrid and enterprise applications, from 44 Availability Zones across 16 geographic regions. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs.
Lehrplan - Was Sie in diesem Kurs lernen werden
Introduction to Machine Learning
Machine Learning Pipeline
Amazon AI Services: Computer Vision
Amazon AI Services: NLP
Bewertungen
- 5 stars67,34 %
- 4 stars23,63 %
- 3 stars6,23 %
- 2 stars1,43 %
- 1 star1,35 %
Top-Bewertungen von GETTING STARTED WITH AWS MACHINE LEARNING
Mainly focused on ML Pipeline and Amazon Web Services, and How to use them in the real-world scenarios based application development. AmazonSagemaker by AWS is an AWeSome Machine Learning tool.
Course was excellent. Was able to see new aspects of tools I've heard of before. This course helped me decide which tools I would like to move forward with for my web application.
It's a practical easy to follow introductory course of AWS machine learning with Sagemaker. I'm looking forward to learning more about Sagemaker and get some practical experience.
This is my first course in Coursera. Great to study the course. This course is designed wonderfully and the instructors explained the concept well. I would like to do some more courses.
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Was bekomme ich, wenn ich das Zertifikat erwerbe?
Ist finanzielle Unterstützung möglich?
Haben Sie weitere Fragen? Besuchen Sie das Learner Help Center.