This learning path is designed for individuals who design and implement AWS services to derive value from data. Learn about collection, ingestion, storage, processing, and visualization. Then get AWS Certified to validate the skills you’ve learned.
For best results, we recommend, but do not require, that individuals have technical AWS Cloud experience related to big data before beginning this learning path.
Recommended progressionFollow this recommended sequence of courses and exams to build your AWS Cloud skills in this Learning Path.
Data Analytics Fundamentals
In this self-paced course, you will learn about the process for planning data analysis solutions and the various data analytic processes that are involved. This course takes you through five key factors that indicate the need for specific AWS services in collecting, processing, analyzing, and presenting your data.
Digital | 3.5 hours
Big Data on AWS
For solutions architects, data scientists, and anyone who designs or implements Big Data cloud solutions. Learn how to work with Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform to process data and create Big Data environments.
Classroom | 3 days
Exam Readiness: AWS Certified Big Data - Specialty
Prepare for the AWS Certified Big Data - Specialty exam by taking a deep dive into several data-driven use cases. It is intended for individuals with a Cloud Practitioner or Associate-level AWS certification and two or more years of experience performing complex big data analysis.
Classroom | 1 day