Data Engineering and ML Ops in the Cloud

3 CREDITS

The primary objective of this course is to equip students with real-world skills in Data Engineering and MLOps by building scalable, secure, and efficient data pipelines on cloud platforms (AWS, GCP, and Databricks). The course integrates cloud infrastructure, data governance, advanced analytics, and AI-powered applications, preparing students to handle end-to-end workflows in modern data-driven organizations.

Key Takeaways:

  • Hands-on experience with leading cloud platforms and tools.
  • A strong foundation in data engineering and MLOps workflows.
  • Work on practical projects that simulate industry scenarios and challenges.
  • Skills to design, optimize, and secure data systems for real-world applications.

LEARN

Cloud Services and Deployment Model, Virtualization, NoSQL, Hadoop Ecosystem, Hypervisors, Public Cloud, Hadoop, MLOps

APPLY

  • Amazon Web Services (AWS), Google Cloud Platform