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DP-3028: Implement Generative AI engineering with Azure Databricks

Master cloud-scale data solutions with comprehensive Microsoft Azure Data Training. Learn to architect, implement, and optimize data pipelines using Azure SQL Database, Synapse Analytics, Data Factory, Data Lake, and Cosmos DB. Build real-world skills in data integration, analytics, and cloud data engineering to advance your career and drive business intelligence initiatives.

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DP-3028: Implement Generative AI engineering with Azure Databricks

DP-3028

earn to build generative AI solutions with Azure Databricks using RAG, fine-tuning, model evaluation, and LLMOps practices

DP-3028: Implement Generative AI Engineering with Azure Databricks is an intermediate-level course designed for AI engineers, data scientists, and machine learning practitioners who want to build and operationalize generative AI solutions on Azure Databricks. Participants learn how to use Apache Spark and Azure Databricks to explore, fine-tune, evaluate, and deploy large language models for real-world AI applications. The course covers key techniques including Retrieval-Augmented Generation (RAG), multi-stage reasoning, model customization through fine-tuning, and comprehensive model evaluation. Learners also explore responsible AI principles and LLMOps practices for managing, monitoring, and maintaining generative AI models in production environments. By the end of the course, participants will have the skills needed to design, build, and scale enterprise-grade generative AI solutions using Azure Databricks and modern AI engineering practices. Duration: 1 day

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Transform your cloud data engineering skills with expert-led training designed for real-world Azure data solutions. Build data pipelines, implement analytics, and optimize cloud data architectures with hands-on, practical training.