AI Agent Fundamentals

This foundational course introduces AI agents and their use in enterprise applications on Databricks, including the Mosaic AI platform and Agent Bricks. Learners will examine what AI agents are, how they function, and how they mimic human reasoning to handle complex tasks.

The course covers real-world agent use cases and provides a basic introduction to advanced topics such as agentic workflows and multi-agent systems. It also explores how Agent Bricks simplifies the development of enterprise-ready agents across various applications, with demos showing how to build and use agents on Databricks.

Languages Available: English | 日本語 | Português BR | 한국어

Skill Level

Introductory

Duration

1h 30m

Prerequisites

The content was developed for participants with these skills/knowledge/abilities:

• Completed the Get Started with Databricks for Machine Learning (Onboarding) course or possess equivalent foundational experience with the Databricks platform.

- Learners should be familiar with basic Databricks workspace operations, including navigating the UI, creating notebooks, and accessing common workspace features.

• Basic understanding of artificial intelligence and machine learning fundamentals.

- This includes introductory knowledge of large language models (LLMs), their capabilities, and common use cases.

• Beginner-level familiarity with prompt engineering and natural language interaction with AI models.

- Learners should have experience writing simple prompts and understanding how AI models respond to natural language inputs.

• Introductory knowledge of Unity Catalog concepts for governance and asset management.

- Learners should be aware of how data and AI assets are organized, secured, and governed within the Databricks platform.

• Basic understanding of document processing and information extraction concepts.

- This includes familiarity with different file formats, data types, and how unstructured data can be processed for downstream AI applications.

• Familiarity with no-code and low-code development approaches.

- Learners should understand when no-code or low-code tools are appropriate for rapidly building and prototyping AI solutions.

• Introductory awareness of AI agent concepts and workflows.

- Learners should understand the distinction between structured and unstructured data processing tasks and how AI agents can orchestrate multi-step workflows.

Self-Paced

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Self-Paced

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

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Upcoming Public Classes

Create Your First Workspace Using Databricks Express

In this course, you will explore the core features and functionalities of Databricks Express Setup, a streamlined way to get started with Databricks. The course is designed to help you quickly set up and navigate a serverless workspace while providing a comprehensive understanding of the credit-based trial system, including the $400 allowance. Divided into six modules, it starts with an introduction to Databricks Express Setup, followed by an exploration of its key features and benefits. You will learn to create and manage serverless workspaces, perform exploratory data analysis using Unity Catalog, and gain insights into collaboration through data sharing.

Additionally, you’ll be guided through trial management and upgrade options, ensuring you can effectively transition from trial to paid accounts. The course also includes an internal-only module on the evolution of trial credits and account activation methods. By the end of the course, you will have a solid foundation in using Databricks Express Setup for data and AI workloads, enabling you to confidently explore and analyze data, collaborate with peers, and manage your Databricks environment efficiently.

Note: Databricks Academy is transitioning from video lectures to a more streamlined PDF format with slides and notes for all self-paced courses. Please note that demo videos will still be available in their original format. We would love to hear your thoughts on this change, so please share your feedback through the course survey at the end. Thank you for being a part of our learning community!

Free

1h 30m

Introductory

Machine Learning Practitioner

Advanced Machine Learning Operations

In this course, you will be provided with a comprehensive understanding of the machine learning lifecycle and MLOps, emphasizing best practices for data and model management, testing, and scalable architectures. It covers key MLOps components, including CI/CD, pipeline management, and environment separation, while showcasing Databricks’ tools for automation and infrastructure management, such as Databricks Asset Bundles (DABs), Workflows, and Mosaic AI Model Serving. You will learn about monitoring, custom metrics, drift detection, model rollout strategies, A/B testing, and the principles of reliable MLOps systems, providing a holistic view of implementing and managing ML projects in Databricks.

Note:

1. This course is the second in the series of Advanced Machine Learning.

2. Databricks Academy is transitioning from video lectures to a more streamlined PDF format with slides and notes for all self-paced courses. Please note that demo videos will still be available in their original format. We would love to hear your thoughts on this change, so please share your feedback through the course survey at the end. Thank you for being a part of our learning community!

Free

Professional

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