NEOPOLIS AKADEMY
Databricks with the Python SDK
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.
View this course on Akademy ↗Enrolment and practical details are available on Neopolis Akademy.
What you will explore
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.
STEP BY STEP
Course programme
01Databricks 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.
Introduces the Databricks Python SDK: getting started, default authentication, and common operations such as listing jobs.
Explains querying AI models with the SDK: chat message roles, querying foundation models, and using Databricks serving endpoints for chatbots.
Details SDK usage for cluster lifecycle management—create, start, verify—and for creating and managing Databricks jobs through the Python API.
Explore this module on Akademy ↗Programme source: Neopolis Akademy. Original course page