1 hour agoIT & SoftwareLearn SQL for agentic AI, data pipelines, real-time apps, query optimization, feature engineering, and Postgres + AWS.
Course Description
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 systems
Writing optimized SQL queries for large-scale AI pipelines
Building feature stores, embedding tables, and real-time analytics
Leveraging SQL with Python and LangChain
Postgres + AWS + S3-based data lake transformations
Live projects using PySpark, SQL, and cloud workflows
Working with incremental data loads and real-time orchestration
Practical tricks to reduce latency and improve data freshness
By 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.
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