• views: 61
• date: 29 March 2026
• posted by: voska89

Make SQL agents product-ready by learning how to leverage Python, LangChain, and LLM frameworks. Explore architecture, error handling, validation tests, monitoring agents, data processing, and more.

Course details

Make SQL agents product-ready by learning how to leverage Python, LangChain, and LLM frameworks. First, learn about the overall architecture of SQL AI agents by focusing on building a robust framework that uses deterministic information. Find out how to create effective prompt templates, add context, and inject memory into agents to handle complex and dynamic queries with ease. Dive into safety assurance, query validations, and safety constraints. Review monitoring systems and error-handling process. Then, set up logs to track the agent performance with MLflow. Last but not least, see how to implement multiple AI agents to process the data. This course is designed for data scientists and engineers but is also beneficial to data analysts seeking to increase knowledge and build operational skills in AI systems. By the end of the course, you will have learned how to prototype SQL AI agents and deploy them responsibly into production environments.

Skills covered

AI Agents, Large Language Models (LLM), Data Analysis, Artificial Intelligence (AI)

Homepage

https://www.linkedin.com/learning/build-with-ai-sql-ai-agents-in-production

   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.