DP-3028: Implement Generative AI engineering with Azure Databricks
Release Date: June 26th, 2025
Duration: 1-Day ILT
Solution Area: Data & AI
Job Roles: AI-Engineer, Data-Scientist
Credential: N/A
Course Description:
This course covers generative AI engineering on Azure Databricks, using Spark to explore, fine-tune, evaluate, and integrate advanced language models. It teaches how to implement techniques like retrieval-augmented generation (RAG) and multi-stage reasoning, as well as how to fine-tune large language models for specific tasks and evaluate their performance. Students will also learn about responsible AI practices for deploying AI solutions and how to manage models in production using LLMOps (Large Language Model Operations) on Azure Databricks.
Audience:
This course is designed for data scientists, machine learning engineers, and other AI practitioners who want to build generative AI applications using Azure Databricks. It is intended for professionals familiar with fundamental AI concepts and the Azure Databricks platform.
DP-3027: Implement a data engineering solution with Azure Databricks
Release Date: June 26th, 2025
Duration: 1-Day ILT
Solution Area: Data & AI
Credential: N/A
Course Description:
Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.
Audience:
Data Engineers, Data Scientists, ELT Developers.
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Updated Jun 07, 2025
Version 1.0Mindy_Rosenthal
Bronze Contributor
Joined October 02, 2023
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