What you ‘ll Learn?

In this Data Engineering course, you’ll develop the essential skills to design, build, and manage large-scale data systems that support modern analytics and AI—whether you’re beginning your career or advancing it. You’ll cover:

• Data Architecture & Modeling – Learn how to structure data efficiently for analysis and scalability.

• ETL/ELT Processes – Extract, transform, and load data using industry-standard tools and techniques.

• Big Data Technologies – Work with Apache Spark, Kafka, Hadoop, and other frameworks for handling large, complex datasets.

• Cloud Data Engineering – Build cloud-native solutions on AWS, Azure, and Google Cloud.

• SQL & NoSQL Databases – Master working with relational databases and modern scalable data stores.

• Data Warehousing – Use platforms like Snowflake, BigQuery, and Redshift to create optimized storage for analytics.

• Workflow Orchestration – Automate and monitor data workflows with tools like Airflow and dbt.

• Data Governance & Quality – Ensure accuracy, security, and compliance across data systems.