CourseraArtificial IntelligenceFree courseCertificate

Getting Started with AWS Machine Learning

4.0

47 reviews

Created by: Blaine Sundrud

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Overall Score : 80 / 100

Course Description

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.

Time: 10h

Instructor Details

Blaine Sundrud

4.0 Rating
47 Reviews

Blaine Sundrud, from Washington D.C., has been teaching technology for more years than he is willing to admit. After spending time teaching in the newspaper industry, he moved to the AWS Training and Certification Department. Blaine has taught classes globally on many different disciplines, such as Security, Cloud Architecture, DevOps, Big Data, AI/ML, and Theatre History. When asked if he can actually quote every line in The Godfather, he smiles and changes the subject.

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4.0

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By Jon M on 12-Nov-19

There seemed to be wide variation in the level of technical detail in the various segments covered by different instructors. The course tended to focus too much on image/video recognition rather than text analysis. The 3 question quizzes did not offer a good cross-section of the material covered, the quizzes should include at least 10 questions.

By Chandra S on 11-Nov-19

This was a very good overview of options available on AWS

By Xia H on 10-Nov-19

I was hoping to learn more ML with AWS. The quiz are too simple and there are no practical assignments which I can go through AWS myself. After only watching the videos I could not remember so much unfortunately. I lost motivation to go on after first weeks. On the very last day I managed to finish the course. A bit disappointed.

By Srinivasan K on 7-Nov-19

Excellent training, must learn course for future professionals.Thanks to AWS training team...you did an amazing job

By Manjit P on 7-Nov-19

Deployment part of ML was a puzzle for me before this class. After you learn the ML basics, this is the next step. It also gives you insight about how automation is coming to ML and what is ML as a service. Definitely recommended if you are an active ML practitioner.

By Vinay V on 6-Nov-19

it was good

By Martin I on 5-Nov-19

Great overview of AWS Machine Learning although it would be great to see further working examples of how this can be applied to processes in Financial Services, such as automating customer call trees, reducing processing time for manual reconciliations.

By JUNG W L on 4-Nov-19

Great course to skim thru Amazon product line on Machine Learning and learn overall process

By Vidya R on 4-Nov-19

good . Would request to add section where we can bring in our own model and run in Sagenaker

By Anand V P on 4-Nov-19

Effective course. Uses real world examples to explain not just the various components of AWS but also how to effectively use. them. It is a genuine hands on course and I would recommend that all those interested in AI & ML must undergo this course to get a head start.

By Shashank J on 4-Nov-19