Data is the new business currency, and AWS is where it lives. The AWS Certified Data Engineer – Associate certification provides you with the tools and knowledge to integrate, build, and manage a data pipeline portfolio that provides value.
From secure storage on S3 and DynamoDB to big data analytics with Redshift and EMR, and real-time streaming with Kinesis and MSK, you’ll learn how to handle data at any scale with confidence.
This specialization combines fundamental and advanced AWS knowledge on data modeling, lineage, ETL orchestration, schema evolution, and machine learning integration with SageMaker. We believe in hands-on demos and video lectures that teach you not only the theory but also how to build real-world projects, allowing you to apply for jobs.
Ideal for anyone new to cloud data engineering, this specialization aligns with AWS certification standards and provides high-growth career opportunities in cloud data engineering, DevOps, and analytics.
Enroll now and add AWS as a special skill in your career.
Applied Learning Project
Throughout this specialization, you’ll gain hands-on experience through real-world demos that bring AWS concepts to life.
You will learn how to design IAM policies, set up MFA, and CloudWatch alarms. Projects will then proceed to creating ETL workflows with Glue and EMR, scaling streaming pipelines with Kinesis and MSK, and enhancing Redshift query efficiency. You’ll also explore SageMaker demos that allow machine learning to be integrated into data solutions.
Every demo resembles real-world work, so you not only learn the know-how to secure, optimize, and automate data engineering pipelines. You gain REAL JOB confidence + AWS Certification preparedness to easily tackle industry opportunities.
Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This course is not affiliated with or endorsed by AWS.
