Mastering Agentic AI SQL for Intelligent Data Systems

Are you ready to future-proof your data skills in the era of Agentic AI and autonomous systems?This course—Mastering Agentic AI SQL for Intelligent Data Systems—is your gateway to building robust SQL-based solutions that power intelligent agents, real-time applications, and decision-making systems. Designed by Akhil Vydyula, Lead Data Engineer at Publicis Sapient and former Senior Data Scientist at PwC, this course is packed with real-world use cases, advanced SQL logic, and AI integration techniques you won’t find elsewhere.Whether you're a data analyst, ML engineer, backend developer, or an AI enthusiast, you’ll gain hands-on experience crafting queries that serve real-time agents, drive machine learning pipelines, and scale across distributed environments like AWS and PostgreSQL.What You’ll Learn:The architecture of Agentic AI systemsWriting optimized SQL queries for large-scale AI pipelinesBuilding feature stores, embedding tables, and real-time analyticsLeveraging SQL with Python and LangChainPostgres + AWS + S3-based data lake transformationsLive projects using PySpark, SQL, and cloud workflowsWorking with incremental data loads and real-time orchestrationPractical tricks to reduce latency and improve data freshnessBy the end, you’ll be able to design, implement, and scale SQL workflows that directly empower AI agents, drive intelligent automation, and enhance decision systems.