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Get Started with Databricks for Generative AI

In this series of lecture videos and in-product demos, we'll introduce you to Databricks and Mosaic AI for Generative AI. Please note that this material serves as a showcase/overview of Databricks features and workflows for generative AI. If you'd like a deeper dive into any of these workflows or features, or if you're looking for hands-on labs, please refer to our Generative AI Engineering with Databricks course (via the Databricks Academy).


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

Skill Level
Onboarding
Duration
2h
Prerequisites

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

  • Basic knowledge of generative AI engineering topics is recommended.

Outline

Databricks Mosaic AI Overview
The Generative AI Opportunity
Databricks Mosaic AI Platform


Prompt Engineering with Internal & External Models
Prompt Engineering Basics
Demo: Prompt Engineering in AI Playground
Introduction to Mosaic AI Gateway
Demo: External Models with AI Gateway


Build & Register a RAG Pipeline
Retrieval Augmented Generation (RAG) Fundamentals
Mosaic AI Vector Search
MLFlow for GenAI
Demo: Build & Register a RAG Application


Evaluating and Deploying AI Systems
End-to-end Evaluation
Demo: Evaluation with Agent Framework
Real-time Deployment with Model Serving
Demo: Real-time Deployment with Model Serving


End-to-end RAG Pipeline on Databricks

Lab: End-to-end RAG Pipeline

Upcoming Public Classes

Date
Time
Language
Price
Jul 03
09 AM - 11 AM (America/Los_Angeles)
English
Free
Jul 09
12 PM - 02 PM (Europe/London)
English
Free
Jul 16
02 PM - 04 PM (Asia/Kolkata)
English
Free
Jul 18
09 AM - 11 AM (America/Sao_Paulo)
Portuguese - BR
Free
Jul 18
03 PM - 05 PM (Europe/London)
English
Free
Jul 22
12 PM - 02 PM (Asia/Singapore)
English
Free
Jul 31
02 PM - 04 PM (Asia/Kolkata)
English
Free
Aug 19
03 PM - 05 PM (Europe/London)
English
Free
Aug 26
12 PM - 02 PM (Asia/Singapore)
English
Free
Sep 04
02 PM - 04 PM (Asia/Kolkata)
English
Free
Sep 09
09 AM - 11 AM (America/Los_Angeles)
English
Free
Oct 14
03 PM - 05 PM (Europe/London)
English
Free
Oct 21
12 PM - 02 PM (Asia/Singapore)
English
Free
Oct 30
02 PM - 04 PM (Asia/Kolkata)
English
Free

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Upcoming Public Classes

Data Engineer

Data Ingestion with Lakeflow Connect

This course provides a comprehensive introduction to Lakeflow Connect as a scalable and simplified solution for ingesting data into Databricks from a variety of data sources. You will begin by exploring the different types of connectors within Lakeflow Connect (Standard and Managed), learn about various ingestion techniques, including batch, incremental batch, and streaming, and then review the key benefits of Delta tables and the Medallion architecture.

From there, you will gain practical skills to efficiently ingest data from cloud object storage using Lakeflow Connect Standard Connectors with methods such as CREATE TABLE AS (CTAS), COPY INTO, and Auto Loader, along with the benefits and considerations of each approach. You will then learn how to append metadata columns to your bronze level tables during ingestion into the Databricks data intelligence platform. This is followed by working with the rescued data column, which handles records that don’t match the schema of your bronze table, including strategies for managing this rescued data.

The course also introduces techniques for ingesting and flattening semi-structured JSON data, as well as enterprise-grade data ingestion using Lakeflow Connect Managed Connectors.

Finally, learners will explore alternative ingestion strategies, including MERGE INTO operations and leveraging the Databricks Marketplace, equipping you with foundational knowledge to support modern data engineering ingestion.

Free
2h
Associate

Questions?

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