DP-3028: Implement Generative AI Engineering with Azure Databricks [Cloud Slice Provided]

DP-3028: Implement Generative AI Engineering with Azure Databricks [Cloud Slice Provided]

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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.

This course uses Azure Cloud Slice! Azure Cloud Slice eliminates the need for pass management and allows users to get straight to learning. No student Azure Passes are required. Each lab has a maximum of 10 launches.

To learn more about Azure Cloud Slice labs, visit our MOC Labs and Azure Access webpage.

Instructors: Please review the "Instructor Delivery Guide" course activity prior to class delivery. This activity includes important instructor and user information, as well as delivery best practices.

Additional Information
Product Type:
ILT SEAT