Generative AI Fundamentals

Generative AI has moved from emerging experiment to essential enterprise capability, powering everything from intelligent customer support to AI agents that automate complex workflows.

Organizations that understand how to deploy it effectively—grounded in their own data and governed for trust—will be the ones setting the pace in their industries. But with new models releasing weekly and capabilities evolving fast, knowing how to evaluate and apply GenAI strategically matters more than chasing the latest release. Get up to speed on the fundamentals of Generative AI—what it can do, where it delivers real business value, and how to implement it securely on Databricks—with this free on-demand training.

Skill Level

Introductory

Duration

Prerequisites

Complete the "Databricks Fundamentals" course.

Self-Paced

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

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Registration options

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

Get Started with Data Governance on Databricks

In this course, you will explore how Unity Catalog enables secure, centralized data governance and fine-grained access control on Databricks. You will learn about table and volume types, catalog and schema configuration, group-based access management, and strategies for migrating existing access controls into Unity Catalog. The course also explains how to design and apply fine-grained controls such as row-level security, column masking, and attribute-based access control, how to combine these mechanisms across data and AI assets, and how to align them with broader governance requirements for compliant, scalable access management.

Languages Available: English | 日本語 | 한국어

Free

Onboarding

Platform Administrator

Get Started with Data Governance on Databricks

Free

instructor-led

Onboarding

Databricks Data Sharing & Collaboration

In this course, you will learn how to leverage Databricks' data sharing capabilities to enable secure, efficient collaboration across your organization and with external partners. The course covers the fundamentals of modern data sharing, exploring the business value it delivers and examining Databricks' three core solutions: Delta Sharing, Marketplace, and Clean Rooms. You'll understand the architecture of Delta Sharing, including both Databricks-to-Databricks (D2D) and open (D2O) sharing models, and learn how to share diverse asset types such as tables, AI models, and notebooks. The course further explores advanced replication strategies, cross-cloud and cross-region optimization, and implementation of granular access controls using dynamic views and partition filtering. You'll also master security and governance practices, including token management, fine-grained access control, cost optimization, and auditing strategies. By the end, you'll have the skills to design secure Delta Sharing solutions for internal and external use cases, optimize multi-party collaboration while managing costs, and choose the right Databricks sharing solution for your specific business needs.

Free

Associate