🤖 Agentic AI for Engineers - Build a bot doing SQL for you with Langchain
Details
Databases power most modern applications, yet querying them still demands fluency in SQL. What if you could interact with your data using natural language, asking questions like “How many users signed up last week?” and getting direct answers without writing a single SQL statement?
In this 60-minute interactive webinar, we’ll dive into how to build an Agentic AI system that lets engineers and data practitioners query databases conversationally. Using LangChain and the Model Context Protocol (MCP), we’ll show how to connect a chatbot to a SQL database so it can understand natural language, generate queries, execute them, and respond with results, all through the chatbox.
Whether you’re a backend engineer, AI builder, or data professional, you’ll walk away with a practical understanding of how to compose modern data agents that go beyond static dashboards and keyboard-driven querying.
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### 🧠 What You’ll Learn
• Why natural-language database access matters
Understand how conversational interfaces can democratize data access and reduce friction for engineers and analysts alike.
• Architecture of an Agentic SQL Bot
We’ll break down the key components of your bot: LLM integration, prompt design, MCP connectors, and database adapters.
• How LangChain and MCP Protocols enable data agents
Learn how to orchestrate your agent’s reasoning, tool calls, and data access via MCP, enabling secure, efficient interactions with SQL stores.
• Live demo: Build & run a conversational SQL agent
Watch a demonstration of a bot that interprets natural language, generates SQL, queries a database, and returns answers in conversational form.
• Best practices & safety guardrails
Discuss how to manage permissions, prevent unsafe queries, and handle ambiguous user intents in production-grade systems.
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### 🎯 Who Should Attend
This webinar is designed for engineers, data professionals, AI builders, and anyone curious about bridging the gap between human language and structured data access. Prior experience with Python or basic database concepts is helpful but not required.
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### ❓ Interactive Q&A
Stay after the demo for an open discussion on design trade-offs, limitations, security considerations, and real-world applications of agentic SQL assistants.
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📅 Duration: 60 minutes
🛠️ Tech Stack: Python, Langchain, MCP
URL: https://events.teams.microsoft.com/event/f2e57957-f1e2-429a-acce-e00ac06280d4@d94ea0cb-fd25-43ad-bf69-8d9e42e4d175