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Pranjal Srivastava, Harshit Srivastava
Learn various cloud services on AWS- Glue, Athena, Quicksight and Comprehend
Updated on Sep, 2026
Programming, Data Science, Machine Learning
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Welcome to this course on Machine Learning and Data Science with AWS. Amazon Web services or AWS is one of the biggest cloud computing platform where everything gets deployed to scale and action. Understanding the concepts and methods are vital, but being able to develop and deploy those concepts in forms of real life applications is something that is most weighted by the industry. Thus, here in this course, we are focused on ways you can use various cloud services on AWS to actually build and deploy you ideas into actions on multiple domains on Machine Learning and Data Science. You could be an IT professional looking for job change or upgrading your skillset or you could be a passionate learner or cloud certification aspirant, this course is for wider audience that if formed by the people who would like to learn any of these or a combination of these things-
Create and Analyze datasets to find insights and spot outliers or trends
Build Data visualization reports and dashboards by combining various visualization charts to represent data insights
Develop machine learning models for Natural Language Processing for various applications on AWS
This course consists of multiple topics that are arranged in various sections. In the first few sections, you would learn cloud services related to Data Science and Analysis on AWS with hands-on practical examples. You would be learning about creating a crawler in Glue and analyzing dataset using SQL in Amazon Athena. After that, you would learn to prepare a dataset for creating Data Visualization charts and reports that can be used for finding critical insights from the dataset that can be used in the decision-making process. You will learn to create calculated fields, excluded lists, and filters on AWS Quicksight, followed by advanced charts such as Word Cloud and Funnel chart.
After that in the Machine Learning section, you will learn about Natural language processing and it's application with the help of AWS Comprehend and Translate. AWS Comprehend is used to identify the language of the text, extract key phrases, places, people, brands, or events, understand sentiment about products or services, and identify the main topics from a library of documents. AWS Translate is used for translating language from one language to another.
Check out the detailed breakdown of what’s inside the course
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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