You should have working knowledge of SQL and relational databases, basic Python programming skills, familiarity with core AWS services such as S3, EC2, and IAM, and an understanding of fundamental data engineering concepts like ETL and data warehousing.

The curriculum covers the full data lifecycle on AWS, including data ingestion, storage (S3, Redshift), processing (Glue, EMR, Lambda), real-time streaming (Kinesis), orchestration (Step Functions), analytics (Athena, Redshift Spectrum), and data governance and security (Lake Formation, IAM, KMS). It is aligned with the AWS Certified Data Engineer (DEA-C01) exam domains.

The course runs for 6 weeks and includes live classes, hands-on projects, and self-study. You should plan to dedicate approximately 10-15 hours per week to attend sessions, complete labs, work on projects, and prepare for the certification exam.

The course is highly hands-on. You will work on three industry-relevant projects including building a serverless data lake, modernizing a data warehouse with Redshift, and creating a real-time streaming pipeline. Additionally, each module includes practical labs using real AWS services.

Upon completion, you will be fully prepared to take the AWS Certified Data Engineer (DEA-C01) exam, a highly sought-after certification. The skills you gain qualify you for roles such as AWS Data Engineer, Big Data Architect, Cloud Data Specialist, and Analytics Consultant, with competitive salaries in the growing cloud data engineering market.

You will work extensively with AWS services including Amazon S3, AWS Glue, Amazon Redshift, Amazon Kinesis, Amazon Athena, AWS Lake Formation, AWS Lambda, AWS Step Functions, Amazon EMR, and AWS IAM. You will also use SQL and Python for data processing and pipeline development.

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 Certified Data Engineer (DEA-C01).

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.