For beginners, it is best to start with a DataOps fundamentals course that explains data pipelines, data quality, version control, automation, testing, and monitoring before moving to advanced topics.
A few useful options include DataKitchen’s DataOps Fundamentals Certification, which is free, self-paced, and does not assume prior DataOps experience. Learners complete five modules and an assessment, with a certificate awarded after achieving the required score.
Another option is DataOps Foundation training, which can provide more structured learning with hands-on labs and practical pipeline exercises. DevOpsSchool, for example, offers a foundation-level DataOps program covering pipeline automation, data quality, version control, and collaborative data engineering practices.
Beginners can also consider broader learning platforms such as Pluralsight or Coursera to build supporting skills in data engineering and DataOps workflows.
Before choosing a certification, check whether the course includes hands-on projects, practical labs, assessment, certification, and topics such as CI/CD, data quality, orchestration, and monitoring. A good approach is to begin with fundamentals and then progress to more advanced DataOps automation and pipeline management.
