Cloud Data Engineering
Master the skills to design, build, and madata ingestion, ETL (Extract, Transform, Load) processes, data warehousing, real-time data streaming, and big data analytics using modern tools such as Apache Spark, Kafka, Airflo
nage data pipelines and cloud-based data systems with our Cloud Data Engineering course. Learn how to work with large-scale datasets using platforms like AWS, Google Cloud Platform (GCP), and Microsoft Azure.
This course covers
w, and Databricks. You’ll gain hands-on experience integrating structured and unstructured data across multiple cloud environments.
Explore SQL and NoSQL databases, data modeling, data governance, and security best practices to ensure scalability and reliability. Learn to automate workflows, monitor data pipelines, and optimize performance for enterprise-grade applications.
By the end of the program, you’ll be able to design and implement robust data architectures in the cloud — preparing for roles such as Cloud Data Engineer, Data Architect, or Big Data Specialist. This course also helps you prepare for certifications like AWS Data Engineer, Google Professional Data Engineer, and Azure Data Engineer Associate.
