Working with Big Data on AWS
The course provides a comprehensive overview of big data and machine learning (ML) technologies on Amazon Web Services (AWS). Students will learn to use AWS resources for data processing, analysis, and management, as well as implement machine learning solutions using AWS services such as SageMaker.
Through hands-on lessons and guided labs, participants will gain hands-on skills to design, implement, and manage big data and machine learning infrastructures on AWS.
CODE: DSAI207
Category: Artificial Intelligence Course
Teaching methodology
The course includes educational laboratories in which each student will be able to carry out training exercises that will provide practical experience in the use of the tool, for each of the topics covered during the course.
Prerequisites
- Familiarity with the concept of Big Data
- Amazon AWS basic knowledge
Below is an overview of the course contents:
- Introduction to AWS services for big data.
- Data storage and management on AWS.
- Big data processing and analytics on AWS.
- Use of Amazon EMR and Athena for data analysis.
- Introduction to ML concepts on AWS.
- Best practices for data management and security on AWS.
- Monitoring and maintenance of big data and machine learning solutions on AWS.
- Use big data services on AWS to store, process, and analyze data
- Implement machine learning models using services like SageMaker
- Manage and monitor big data and machine learning solutions on AWS
- Apply best practices for data management and security on AWS
Duration – 3 days
Delivery – in the classroom, on site, remotely
PC and SW requirements:
- Internet connection
- Web browser, Google Chrome
- Zoom
Language
- Instructor: Italian
- Laboratories: English
- Slides: English
