Data Engineering – Self Paced

Build a future-proof career with our comprehensive Data Engineering course, updated as per the latest industry standards. This program is designed for students, professionals, and aspiring data engineers who want to master the art of building scalable data pipelines, managing large datasets, and architecting modern data platforms.

The course begins with an introduction to What is Data Engineering, the modern data ecosystem, and the key players driving innovation. You’ll explore the evolution of data engineering and gain insights into its role within today’s data-driven world.

Learn the data engineering ecosystem, including RDBMS, data warehouses, data marts, and data lakes. Dive deep into ETL, ELT, and data pipelines, along with modern data integration platforms. Master the foundations of big data and work with industry-leading tools like Hadoop, HDFS, Hive, and Apache Spark.

The program also covers the data engineering lifecycle, from designing and architecting data platforms to selecting appropriate data stores. You’ll get hands-on with data wrangling techniques and tools, performance tuning, and troubleshooting strategies.

A dedicated module focuses on data engineering for machine learning using Apache Spark, enabling you to prepare, process, and manage data for AI-driven applications. The course concludes with insights into career opportunities, showcasing real-world applications of data engineering across industries.

By the end of this course, you will be ready to design and deploy end-to-end data engineering solutions, making you highly valuable in the job market for roles such as Data Engineer, Big Data Engineer, ETL Developer, and Cloud Data Engineer.