Databricks Data Engineer / ML Associate

Overview

Databricks Data Engineer / ML Associate is a professional credential in Technology - AI/ML. It validates knowledge and practical skills expected for roles aligned with Databricks Data Engineer / ML Associate, and signals readiness for entry through mid-level responsibilities.

What it covers

• Fundamentals commonly required in Technology - AI/ML roles
• Applied skills that map to day-to-day job tasks
• Tools, workflows, and quality/safety best practices
• Provider-defined objectives and exam domains

Quick snapshot

Steps to get certified

1. Confirm eligibility and prerequisites (if any)
2. Review the exam objectives and official candidate handbook
3. Study with free resources and complete practice tasks/exams
4. Schedule and take the exam (remote or test center, per policy)
5. Maintain the credential via recertification/CE (if required)

Free study resources

• Official exam objectives / sample questions (usually free)
• Open courseware and tutorials aligned to the objectives
• Hands-on labs or small projects that mirror real tasks
• Local library access to relevant books and guides

Communities & discussion

• Certification-focused forums and Q&A communities
• Reddit/Discord/Slack groups for this cert’s domain
• Local meetups or online study groups

Example jobs with this cert

• Technology - AI ML Technician
• Technology - AI ML Specialist
• Technology - AI ML Associate
• Databricks Data Engineer / ML Associate Support/Assistant
• Junior Technology - AI ML Analyst