Who should attend DP-3028 Implement Generative AI engineering with Azure Databricks Course
Prerequisites for DP-3028 Implement Generative AI engineering with Azure Databricks Course
DP-3028 Implement Generative AI engineering with Azure Databricks Course Outline
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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.


