Autonomous Data Agents: From Zero to Hero: How to Build a Secure, Self-Healing Digital Data Team That Runs Your Enterprise (AI Data Engineering Using SQL & AI : From Zero to Hero Series.)

By Tamer Ahmed

Graduate from simple "chatbots" to a fully autonomous, self-healing digital data department.

Asking a generic AI to run multi-million-dollar financial calculations is dangerous. True enterprise AI requires an interconnected team of intelligent agents that can manage, query, and analyze your massive company databases 24/7 without human hand-holding.

Autonomous Data Agents: From Zero to Hero takes Text-to-SQL to the enterprise level. This is your masterclass in scaling, securing, and fine-tuning advanced LLMs to act as your invisible data engineering workforce.

Inside, you will discover how to:

Deploy Multi-Agent Systems: Build a virtual boardroom where a "Coder Agent" writes the SQL, a "Reviewer Agent" checks for efficiency, and an "Execution Agent" runs the report.
Engineer Self-Healing Logic: Instruct your agents to read system error logs (like missing columns) and automatically rewrite their own code until the math is perfect.
Implement Ironclad Security: Protect your proprietary data from AI prompt injection and enforce strict Row-Level Security (RLS) so the AI never leaks unauthorized executive data.
Fine-Tune a Custom Corporate Brain: Stop relying on generic models. Train open-source AI specifically on your company's unique financial dialects and internal jargon.

Transform your enterprise architecture. Build a secure, autonomous AI workforce that never sleeps.

• Format: Paperback
• Language: English
• ISBN: B0H34CRJB4
• ISBN13: 9798198865679
• Release Date: May 2026
• Publisher: Independently published
• Length: 367 Pages
• Weight: 1.88 lbs.
• Dimensions: 11.0" x 0.8" x 8.5"