Implement Generative AI engineering with Azure Databricks (DP-3028)

 

Course Overview

Generative Artificial Intelligence (AI) engineering with Azure Databricks uses the platform's capabilities to explore, fine-tune, evaluate, and integrate advanced language models. By using Apache Spark's scalability and Azure Databricks' collaborative environment, you can design complex AI systems.

Prerequisites

Before starting this module, you should be familiar with fundamental AI concepts and Azure Databricks. Consider completing the Get started with artificial intelligence learning path and the Explore Azure Databricks module first.

Course Content

  • Get started with language models in Azure Databricks
  • Implement Retrieval Augmented Generation (RAG) with Azure Databricks
  • Implement multi-stage reasoning in Azure Databricks
  • Fine-tune language models with Azure Databricks
  • Evaluate language models with Azure Databricks
  • Review responsible AI principles for language models in Azure Databricks
  • Implement LLMOps in Azure Databricks

Click on town name or "Online Training" to book Schedule

Instructor-led Online Training:   This is an Instructor-Led Online (ILO) course. These sessions are conducted via Microsoft Teams in a VoIP environment and require an Internet Connection and headset with microphone connected to your computer or laptop.

Europe

Germany

Online Training Time zone: Central European Time (CET) Course language: German

Switzerland

Zurich
Zurich

United Kingdom

Online Training Time zone: British Summer Time (BST) Course language: English

North America

United States

Online Training Time zone: Central Standard Time (CST) Course language: English
Online Training Time zone: Eastern Daylight Time (EDT) Course language: English

Canada

Online Training Time zone: Central Standard Time (CST) Course language: English
Online Training Time zone: Eastern Daylight Time (EDT) Course language: English