Building Database Agents

  • BeginnerLevel

  • 577+Students Enrolled

  • 1 HrDuration

  • 4.8Average Rating

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About this Course

  • Learn how to build LLM Agents that convert natural language into precise SQL queries using prompt engineering, the perfect start for building your own Database Agent.
  • Understand Database Agents with LLMs using LangChain’s SQL toolkit and SQL, adding memory for context handling and smooth follow-up query execution.
  • Explore building LLM Agents that parse and transform responses into structured formats, visualize data with PyChart, and secure against SQL injection attacks.

Learning Outcomes

Convert text to SQL

Use LLMs to translate natural queries into accurate SQL code.

Build smart DB agents

Create Database Agents with memory, visualization, and LangChain tools

Secure your agent

Implement safeguards to prevent SQL injection and malicious input.

Who Should Enroll

  • Developers and professionals aiming to integrate AI with databases for real-world solutions.
  • Students eager to learn LangChain, SQLAlchemy, and practice Building Database Agents with real projects.
  • Beginners seeking free, practical AI + database projects to develop production-ready Database Agent skills.

Course Curriculum

This course covers Building Database Agents with LLMs from basics to advanced. Learn SQL conversion, prompt engineering, LangChain integration, visualization, and database security.

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  1. 1. Introduction & Course Objectives

  2. 2. Natural Language to SQL with LLMs

  3. 3. Course Handouts

  1. 1. Setting Up Database & Agent

  2. 2. Connecting with OpenAI & SQLAlchemy

  3. 3. Adding Visualization to Agent Responses

  4. 4. Security and Design Considerations

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Shikha

Senior Manager - Data Science

Shikha has 12+ years in Data Science, building scalable AI in marketing, recommender systems & NLP. Recent focus: Generative AI, LLMs, RAG, fine-tuning, and deploying end-to-end applications at scale.

Get this Course Now

With this course you’ll get

  • 1 Hour

    Duration

  • Shikha

    Instructor

  • Beginner

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
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Frequently Asked Questions

Looking for answers to other questions?

Database Agents with LLMs are intelligent systems that use large language models to understand natural language and convert it into structured SQL queries, helping users interact with databases without manual coding or complex SQL knowledge.

Basic Python or SQL knowledge helps, but the course explains everything step-by-step. You’ll learn building your own Database Agent using intuitive tools, LangChain’s SQL toolkit, and real-world examples — perfect even for beginners.

ou’ll work with LangChain, SQLAlchemy, and PyChart to build, visualize, and secure LLM-powered database agents. These tools help you connect language models with real databases to generate meaningful, structured outputs.

LangChain simplifies connecting LLMs to databases, managing memory, and chaining tasks. It’s the backbone for building efficient, production-ready Database Agents that interpret prompts and fetch accurate results.

Yes. The course includes visualization with PyChart and other tools, showing how to display query results as charts or tables — turning SQL data into interactive, easy-to-read insights.

Memory helps Database Agents retain past interactions, understand context, and respond intelligently in multi-turn conversations. You’ll learn how to implement short-term and long-term memory modules using LangChain’s memory utilities.

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