Get Started with Databricks Platform Administration

In this course, you will learn the basics of platform administration on the Databricks Data Intelligence Platform. It offers a comprehensive overview of the Unity Catalog, a vital component for effective data governance within Databricks environments. Divided into five modules, it covers essential aspects such as metadata management, identity and access control, compute resource management, and data access control. You will gain proficiency in leveraging Unity Catalog's core components, understanding its architecture and security features, managing data stores, configuring compute resources, and implementing fine-grained data access controls. By the end, you will be equipped with essential skills in administering the Unity Catalog to enforce robust data governance strategies, optimize cluster configurations, and implement fine-grained access control mechanisms for enhanced security.

Skill Level

Onboarding

Duration

Prerequisites

Basic knowledge of cloud computing and SQL concepts such as networking basics, SQL commands, aggregate functions, filters and sorting, indexes, tables, and views.
Basic knowledge of Python programming, jupyter notebook interface, and PySpark fundamentals.

Self-Paced

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

See all our registration options

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 Databricks for Data Engineering

In this course, you will learn basic skills that will allow you to use the Databricks Lakehouse Platform to perform a simple data engineering workflow. You will be given a tour of the workspace, and you will be shown how to work with notebooks. You will create a basic data engineering workflow while you perform tasks like creating and using compute resources, working with repositories, and creating and managing basic workflow jobs. The course will also introduce you to Databricks SQL. Finally, you will see how data is stored, managed, governed, and secured within the lakehouse.

Languages Available: English | 日本語 | Português B

Free

Onboarding

Machine Learning Practitioner

Generative AI Application Evaluation and Governance

This course introduces you to evaluating and governing generative AI systems. First, you’ll explore the meaning behind and motivation for building evaluation and governance/security systems. Next, we’ll connect evaluation and governance systems to the Databricks Data Intelligence Platform. Third, we’ll teach you about a variety of evaluation techniques for specific components and types of applications. Finally, the course will conclude with an analysis of evaluating entire AI systems with respect to performance and cost.

Free

Associate

Machine Learning Practitioner

Generative AI Application Development

The course is designed to provide you the practical experience in building advanced LLM applications using multi-stage reasoning LLM chains and agents. First, you’ll learn how to decompose a problem into its components and select the most suitable model for each step to enhance business use cases. Following this, we’ll show you how to construct a multi-stage reasoning chain utilizing LangChain and HuggingFace transformers. Finally, you’ll be introduced to agents and will design an autonomous agent using generative models on Databricks.

Free

Associate

Career Workshop/

March 20

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Questions?

If you have any questions, please refer to our Frequently Asked Questions page.

FAQ