You should have basic proficiency in Python programming, foundational SQL knowledge, and a general understanding of cloud computing concepts. No prior AWS experience is required, as the program covers AWS data services from the ground up.

The curriculum covers data lake design with Amazon S3 and Lake Formation, ETL pipelines with AWS Glue and Lambda, real-time streaming with Amazon Kinesis, data warehousing with Amazon Redshift, query analytics with Amazon Athena, data migration with AWS DMS, orchestration with Step Functions and EventBridge, and security, governance, and cost optimization practices across AWS.

The program is designed to be completed in 24 weeks. We recommend dedicating 10-15 hours per week, which includes video lessons, reading materials, hands-on labs, and project work to build practical AWS data engineering skills.

You will complete three industry-relevant projects: building a retail data lake and analytics platform, designing a real-time IoT streaming and alerting pipeline, and architecting a serverless data warehouse migration pipeline. Each project uses multiple AWS services and mirrors real-world data engineering challenges.

This program prepares you for roles such as AWS Data Engineer, Cloud Data Engineer, and Big Data Engineer. You will gain hands-on experience with production-grade AWS data services and be fully prepared for the AWS Certified Data Engineer – Associate (DEA-C01) exam, a credential highly valued by employers in the data engineering field.

You will work extensively with Python, SQL, Amazon S3, AWS Glue, Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lambda, AWS Step Functions, AWS Lake Formation, AWS DMS, AWS IAM, AWS KMS, CloudWatch, CloudFormation, and other core AWS data and security services.

The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.

In this course instructors will use English language for teaching.

Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.

Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.

Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in AWS Data Engineer Certification Career Track.

Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.

We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.