Beginning Machine Learning with AWS (Udemy.com)

( 3 Reviews )

Created by: Packt Publishing

Produced in 2021

Quality Score

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Course Depth & Coverage

Overall Score : 46 / 100

Course Description

Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are highly scalable. From natural language processing (NLP) applications, such as language translation and understanding news articles and other text sources, to creating chatbots with both voice and text interfaces, you will learn all that there is to know about using AWS to your advantage. You will also understand how to process huge numbers of images fast and create machine learning models. By the end of this course, you will have developed the skills you need to efficiently use AWS in your machine learning and artificial intelligence projects. About the Author Jeffrey Jackovich, is the author of this course, and a curious data scientist with a background in health-tech and mergers and acquisitions (M&A). He has extensive business-oriented healthcare knowledge, but enjoys analyzing all types of data with R and Python. He loves the challenges involved in the data science process, and his ingenious demeanor was tempered while serving as a Peace Corps volunteer in Morocco. He is completing a Masters of Science in Computer Information Systems, with a Data Analytics concentration, from Boston University. Ruze Richards, is the author of this course, and a data scientist and cloud architect who has spent most of his career building high-performance analytics systems for enterprises and startups. He is especially passionate about AI and machine learning, having started life as a physicist who got excited about neural nets, then going on to work at AT&T Bell Labs in order to further pursue this area of interest. With the new wave of excitement along with the actual computing power being available on the cloud for anybody to actually get amazing results with machine learning, he is thrilled to be able to spread the knowledge and help people achieve their goals. Kesha Williams is a software engineer with over 20 years of experience in web application development. She is specialized in working with Java, Spring, Angular, and Amazon Web Services (AWS). She has trained and mentored thousands of developers in the US, Europe, and Asia while teaching Java at the university level. She has won the Ada Lovelace Award in Computer Engineering from LookFar and the Think Different Innovation Award from Chick-fil-A for working with emerging technologies and artificial intelligence.
Who this course is for:

Machine Learning with AWS is ideal for data scientists, programmers, and machine learning enthusiasts, who want to learn about the artificial intelligence and machine learning capabilities of the Amazon Web Services.

Time: 2.5h

Instructor Details

Packt Publishing

2.3 Rating
3 Reviews

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work. With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now. From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer. Packt Udemy courses continue this tradition, bringing you comprehensive yetconcise video courses straight from the experts.

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2.3

3 total reviews

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By Sandeep Bhatia

no handons session till now.

By Aimilios

Just poorly planned course with some basic demonstration of ML cloud concepts

By David Tyler

This instructor does not set the right expectations of what you need to know to be able to follow her sessions. Additionally, she provides zero documentation for all the packages that need to be installed, nor does she provide links. Instead you have to maximize the video and then pause the video to type it into a browser. She spends no time explaining why you are learning what you are suppose to be learning nor does she explain how this relates to the overall approach. And finally, there are only 6 sections for AWS ML, however there are 17 different services listed for AWS ML. Why only 6? Are they the most important? She does not even cover what the other services are or why she isn't going to teach you about them. She states that this class is meant to "By the end of this course, you will have developed the skills you need to efficiently use AWS in your machine learning and artificial intelligence projects.", but she only covers the most minimal of services and capabilities of AWS ML.