DataOps: Automation & Reliability Specialization
DataOps: Automation & Reliability Specialization
Build Automated Data Engineering Systems. Learn to orchestrate, automate, and debug enterprise data pipelines with DevOps best practices.
Instructor: Hurix Digital
Access provided by BITS Pilani
Intermediate level
Recommended experience
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Automate entire data pipeline lifecycles from version control through deployment using Git, Docker, CI/CD, and Airflow
Debug and resolve complex data issues systematically using advanced tracing, profiling, and root cause analysis techniques
Build resilient data infrastructure with automated testing, monitoring, and self-healing capabilities
Skills you'll gain
- Ansible
- Apache Airflow
- Automation
- CI/CD
- Configuration Management
- Containerization
- Continuous Deployment
- Continuous Integration
- Data Pipelines
- Database Management
- Debugging
- DevOps
- Docker (Software)
- Git (Version Control System)
- Infrastructure as Code (IaC)
- Performance Tuning
- Python Programming
- Root Cause Analysis
- SQL
- Workflow Management
- Skills section collapsed. Showing 12 of 20 skills.
Details to know
Shareable certificate
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Taught in English
Recently updated!
January 2026
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