AI Systems, Automation, CI/CD and Data Engineering Workflows

О курсе

This course focuses on the infrastructure awareness, automation practices, and engineering workflows needed to operate AI-native data systems. Learners work with Git-based project structure, CI/CD patterns, AI-assisted code and SQL generation, workflow automation, metadata generation, and policy-aware validation gates. The emphasis is on safe, reproducible engineering practices that support AI data products in production. By the end of the course, learners can manage code and data workflow changes with version control, implement CI/CD patterns, validate AI-generated artifacts, document data products, and deliver a minimal AI-native workflow with governance-aware automation. Topics include Git, repositories, CI runners, SQL/code generation, orchestration concepts, metadata, dataset cards, and validation checks.

Навыки, которые вы освоите

Учитесь у экспертов

Antonio Cangiano

Engineering Manager and AI Specialist

Ruslan Podgaets

Преподаватель курса