Implement Generative AI engineering with Azure Databricks
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. Learners will also explore responsible AI practices for deploying AI solutions and how to manage models in production using LLMOps (Large Language Model Operations) on Azure Databricks.
Practical information:
7
hours
Online
English
Target audience: AI practitioners who want to build generative AI applications using Azure Databricks
Want to register?
- Prerequisites: You should be familiar with fundamental Azure Databricks concepts.
- Price: Free
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