Prompt Engineering Fundamentals

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.

Skill Level

Introductory

Duration

Prerequisites

Access to an AI Assistant

Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

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Databricks has a delivery method for wherever you are on your learning journey

Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

Instructor-Led

Public and private courses taught by expert instructors across half-day to two-day courses

Blended Learning

Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase

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Skills@Scale

Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details

Upcoming Public Classes

Data Engineer

Data Interoperability with Unity Catalog

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.

Free

Associate

Platform Administrator

Databricks Accredited Platform Administrator Accreditation

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.

Free

20m

Associate

Machine Learning Practitioner

Feature Engineering at Scale

In this course, you will gain a comprehensive understanding of how to design, scale, and operationalize end-to-end feature engineering pipelines on the Databricks platform. The curriculum is structured across three progressive modules: mastering the fundamentals of Spark’s distributed execution and optimization, implementing scalable data ingestion with Auto Loader and declarative Lakeflow pipelines, and advancing to production-grade MLOps with the Databricks Feature Store.

You will engage in hands-on learning experiences such as debugging Spark performance with the Catalyst Optimizer and Spark UI, building robust Bronze-Silver-Gold medallion architectures with automated quality checks, and implementing scalable feature transformations using SparkML. The course culminates in deploying real-time feature serving through Online Feature Stores, defining FeatureSpecs with on-demand transformations, and applying governance and lineage tracking with Unity Catalog.

Free

Professional