This course is designed for data scientists, machine learning engineers, and data practitioners who want to build generative AI applications using Databricks. It provides hands-on experience with the latest frameworks and Databricks [...]
  • DBGENAIE-QA
  • Price on request

This course is designed for data scientists, machine learning engineers, and data practitioners who want to build generative AI applications using Databricks. It provides hands-on experience with the latest frameworks and Databricks capabilities to develop, evaluate, and deploy generative AI solutions.Participants will gain expertise in retrieval-augmented generation (RAG), multi-stage reasoning LLM chains, AI application governance, and model deployment. Through practical exercises and real-world use cases, learners will develop end-to-end generative AI applications while ensuring compliance and performance monitoring.

  • Implement retrieval-augmented generation (RAG) solutions using Databricks.
  • Build and evaluate generative AI applications with multi-stage reasoning LLM chains.
  • Apply governance and evaluation techniques to generative AI models.
  • Deploy and monitor generative AI applications using Model Serving and Lakehouse Monitoring.
  • Design autonomous AI agents with Databricks-based cognitive architectures.

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