Building AI Applications with Databricks and Gen AI

About this course

This comprehensive course will teach you how to develop cutting-edge AI applications by combining the power of Databricks and Large Language Models (LLMs). You will explore how to leverage Databricks for large-scale data processing, feature engineering, and model training, while integrating advanced LLMs for natural language processing (NLP) tasks such as text classification, summarization, semantic search, and conversational AI.Through hands-on labs and real-world projects, you will gain practical experience in building intelligent systems that can understand, process, and generate human language. This course is ideal for data scientists, machine learning engineers, and developers who want to stay ahead in the rapidly evolving world of AI.By the end of the course, you will have a strong understanding of how to architect end-to-end AI pipelines using Databricks and LLMs, deploy scalable NLP applications, and apply industry best practices for model integration and performance optimization.

Key Highlights:

• Scalable data processing and ML using DatabricksNLP-powered applications with state-of-the-art LLMsPractical, project-based learning approach
• Real-world AI use cases and deployment strategies
• Use Vector Search indexes to store indexes
• Use workflows to refresh the data end - end on schedule basis
• Use Serverless compute to refresh the data
• Use Databricks Apps to deploy the application

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