You should have working knowledge of SQL for data querying, basic Python programming skills, and a fundamental understanding of data engineering concepts like ETL processes and data pipelines. Some familiarity with cloud computing concepts is helpful but not mandatory.

The course covers Azure Databricks platform fundamentals, Apache Spark for large-scale data processing, PySpark and Spark SQL programming, Delta Lake architecture and the data lakehouse paradigm, ETL/ELT workflow design, data governance and security, Spark performance optimization, and Databricks Jobs and workflow orchestration. The curriculum is aligned with the Databricks Data Engineer certification exam objectives.

The course runs for 6 weeks. You should plan to dedicate approximately 8-10 hours per week, which includes video lectures, hands-on labs in Databricks notebooks, project work, and certification preparation exercises.

You will complete three industry-relevant projects involving building end-to-end data pipelines, implementing Delta Lake architectures, processing streaming data, and optimizing Spark jobs. Additionally, you will work through practical exercises in Databricks notebooks that mirror real-world data engineering scenarios and certification exam topics.

This course prepares you for the Databricks Certified Data Engineer Associate exam and equips you with in-demand skills in cloud data engineering. Graduates are well-positioned for roles such as Data Engineer, Big Data Architect, and Cloud Data Specialist, with expertise in one of the fastest-growing data platforms used by enterprises worldwide.

You will work hands-on with Azure Databricks, Apache Spark, PySpark, Spark SQL, Delta Lake, Azure Blob Storage, and Azure Data Lake Storage. You will also use Databricks notebooks, Databricks Jobs for workflow orchestration, and the Unity Catalog for data governance.

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 Databricks Data Engineering Certification.

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.