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This course equips end users to get the most from their organization’s AI-powered assistants. Learners begin by understanding how the assistant works, its capabilities and limitations, and how to to create precise, business-relevant prompts by applying the COIE framework—Context, Outcome, Instruction, Example. They then progress to prompting techniques such as zero-shot, few-shot, chain-of-thought, self-ask, and meta-prompting to handle diverse content, reasoning, and workflow tasks. By the end, participants can structure complex requests, chain prompts effectively, and collaborate with their AI assistant as a reliable, reasoning partner that delivers accurate, actionable insights.

This course explores how to achieve seamless data interoperability between systems using Databricks Unity Catalog as a unified governance layer, using both Delta and Iceberg open table formats.  Participants will learn to implement, manage and optimize a data environment where tables can be accessed by both Delta and Iceberg clients, enabling cross platform analytics and eliminating data silos.

The Databricks Accredited Platform Administrator is a 20-minute, unproctored accreditation exam that will test your knowledge about managing and administering the Databricks Lakehouse Platform using Unity Catalog. It will assess your ability to perform the fundamentals of administering the platform, administer identities, configure and secure the platform, manage compute resources, administer and secure data within the platform, and administer CI/CD tooling within the platform. Test takers that pass the exam will be awarded the Databricks Accredited Platform Administrator badge and certificate.