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.
Getting Started with AWS Machine Learning
About this Course
완료하는 데 약 9시간 필요
완료하는 데 약 9시간 필요
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GETTING STARTED WITH AWS MACHINE LEARNING의 최상위 리뷰
Great content for someone new to this space. I really enjoyed all the information, thanks to all who are willing to share the knowledge. I'm ready to tackle the next course of AWS ML.
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.
Very good course I have learnt a lot of new things in Machine learning\n\nThe course content was excellent and the labs are in step by step which makes it be very easy
A very dense and helpful course. However have a lack of practice. I think if they give some practical examples and some exercises, the course will be better
Great intro to Machine learning algorithms. Loved the course taught on BlazingText since it gave me insight into Glue, S3, costs and a wholistic view of ML
This course represents a valuable first step toward more advanced courses where hands-on practice using coding notebook and AWS tools are emphasized.
Great course, It was not a complete guide but now i understand what machine learning with aws looks like and even got some hands-on.
This course gave me a good introduction to Machine Learning and helped me understand AWS service offerings around AI and ML.
Excellent training, must learn course for future professionals.\n\nThanks to AWS training team...you did an amazing job
Some videos went into too much code assuming everyone knows the specific functions. It added to the length needlessly.
Not deep into ML techniques, but a lot of demos and how to use as the best AWS features for a smooth ML processes
I'd like to learn more ML / DL basics. But in any case it's not hard course you can complete in few days.
A very good guide for understanding the full Amazon web services flow but lack of proper implementation
Quite a trailbrazing course in machine learning. What a rich ML resource base AWS has on offer!
I've earned basic understanding on AI, ML, DL. I liked the videos with Amazon Deeplens device.
nice introduction course realted machine learing and artificial intelligence and deep learning
good . Would request to add section where we can bring in our own model and run in Sagenaker
Great course to skim thru Amazon product line on Machine Learning and learn overall process
Great course for introduction to AWS and know the infrastructure and services they provide.
Really good. I especially enjoyed week5 exercises (train-to-deploy Object dectection SSD)
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 (AI), security, hybrid and enterprise applications, from 44 Availability Zones (AZs) across 16 geographic regions in the U.S., Australia, Brazil, Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the UK. 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. To learn more about AWS, visit https://aws.amazon.com.
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