Validate your expertise in designing, building, and deploying generative AI solutions on the Databricks Lakehouse Platform.
Overview
The Databricks Certified Generative AI Engineer Associate certification is designed for data professionals, including data scientists, machine learning engineers, and developers, who work with generative AI on the Databricks Lakehouse Platform. This certification validates essential skills in understanding generative AI concepts, leveraging MLflow LLMFlow for model lifecycle management, and implementing GenAI solutions using Databricks Lakehouse features like Unity Catalog, Vector Search, and Model Serving. Candidates will demonstrate proficiency in areas such as prompt engineering, RAG architectures, model fine-tuning, and robust MLOps practices within the Databricks ecosystem.
Learning Outcomes
Understand core Generative AI concepts, including LLMs, prompt engineering, RAG, and fine-tuning.
Utilize MLflow LLMFlow for logging, experimenting, deploying, and monitoring GenAI models.
Prepare and manage data for GenAI applications using Databricks Unity Catalog and Delta Live Tables.
Engineer features with Vector Search and Feature Store for enhanced model performance.
Develop and optimize GenAI models using Databricks Photon and GPU clusters.
Deploy and serve Generative AI models efficiently with Databricks Model Serving and MLflow.
Implement robust MLOps practices for Generative AI solutions on the Databricks Lakehouse Platform.