Getting Started with AWS Machine Learning
About this Course
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.
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.
Flexible deadlines
• Reset deadlines in accordance to your schedule.
Shareable Certificate
• Earn a Certificate upon completion
100% online
• Start instantly and learn at your own schedule.
Intermediate Level
• Approx. 9 hours to complete
English
• Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Skills you will gain
• Artificial Intelligence (AI)
• Machine Learning
• Amazon SageMaker
• Natural Language Processing (NLP)
• Computer Vision
Offered by 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.
Coursera and AWS have been partners since 2017 providing learners and enterprises globally, the skills they need to succeed. Coursera builds on AWS servers to scale with student demand with confidence around capacity and elasticity and in partnership with AWS. In 2019, Coursera achieved Advanced Tier Partner status and further extended the partnership with AWS Educate, AWS EdStart and AWS Academy collaborations. Coursera's been able to make cloud skills more accessible with 8 AWS courses on the Coursera platform featuring top subject matter experts and the portfolio continues to grow. To learn more about AWS, visit https://aws.amazon.com.
Syllabus - What you will learn from this course
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
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