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Virtual Instructor-Led Training 1 days / 8 hours

Who should attend DP-3028 Implement Generative AI engineering with Azure Databricks Course

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.

Prerequisites for DP-3028 Implement Generative AI engineering with Azure Databricks Course

Before starting this module, you should be familiar with fundamental Azure Databricks concepts

DP-3028 Implement Generative AI engineering with Azure Databricks Course Outline


Resources

FAQs on DP-3028 Implement Generative AI engineering with Azure Databricks

Participants should be familiar with fundamental Azure Databricks concepts before starting this course.

This course is designed for data scientists, machine learning engineers, and AI practitioners who want to build generative AI applications using Azure Databricks and are familiar with fundamental AI concepts and the Azure Databricks platform.

The course covers language models in Azure Databricks, implementing Retrieval Augmented Generation (RAG), multi-stage reasoning systems (LangChain, LlamaIndex, Haystack, DSPy), fine-tuning language models, and evaluating LLMs using standard metrics and LLM-as-a-judge techniques.

Yes, the course includes a dedicated module on fine-tuning, covering data preparation and hands-on fine-tuning of an Azure OpenAI model.

The course explores LangChain, LlamaIndex, Haystack, and the DSPy framework for building multi-stage reasoning systems.