Training programme overview

Advanced course on Databricks automation via the Python SDK: managing clusters, jobs, and deploying AI models. Details programmatic use of APIs and structuring reproducible pipelines within a Databricks workspace.

Using the Python SDK to manage Databricks clusters, jobs and workspace resources.

Automating model deployment and orchestration of AI workloads via Python APIs.

Designing reproducible pipelines and handling dependencies inside the workspace.

Best practices for monitoring jobs, logs and configurations from Python scripts.

1courses

3lessons

9activities

1exercises

8videos

Training · Advanced

Courses included in this training programme

Databricks with the Python SDK

Handbook for using the Databricks Python SDK: authentication, basic operations, cluster and job management, and querying LLMs through serving endpoints. Includes chat message roles and querying foundation models.

3 lessons · 9 activities · 1 exercises · 8 videos

Access the platform

Open the catalogue to review course details, access conditions, and your personal progress. Sign in.

Explore Golden Jobs and their learning paths