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As generative AI becomes central to modern data and machine learning workflows, earning the Databricks Certified Generative AI Engineer Associate certification signals both credibility and technical fluency. This study guide prepares you for this sought-after certification with comprehensive coverage of core GenAI and LLM concepts, practical data management using Delta Lake, and retrieval-augmented generation (RAG) application workflows on the Databricks platform.
Written by AI expert Rajaniesh Kaushikk, this book combines hands-on labs, real-world examples, and exam-aligned content to help you build and deploy effective GenAI applications. From prompt engineering and RAG-based solutions to model governance with Unity Catalog, MLflow tracking, and leveraging Hugging Face models in GenAI workflows, this guide supports both your certification journey and real-world AI development.
- Understand the fundamentals of generative AI, LLMs, and vector databases
- Prepare and manage large-scale data using Delta Lake and the data lakehouse
- Build and deploy generative AI models with Databricks and MLflow
- Explore RAG for enhanced model performance
- Implement responsible AI practices and model governance with Unity Catalog
About the author
Rajaniesh Kaushikk is a seasoned technology expert with over 20 years of experience in complex software application architectures for Fortune 500 companies. As a Microsoft MVP, Databricks MVP, and TOGAF Certified Enterprise Architect, he specializes in data integration, governance, analysis, and advanced technical architecture. Rajaniesh is also a Microsoft Certified Azure Solutions Architect Expert and a Databricks Champion, known for his proficiency in Azure Cloud and various data platforms. He is a frequent speaker at Microsoft technology events and has a passion for educating and mentoring technology professionals.
