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Starts 18 June 2025 13:18

Ends 18 June 2025

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Generative AI SQL Database Specialist with ChatGPT

Master the integration of Generative AI with SQL databases to revolutionize data design, querying, and visualization. Develop expertise in AI-powered database architecture, natural language SQL queries, and visualization techniques.
Vanderbilt University via Coursera

Vanderbilt University

21 Courses


Vanderbilt University is a private research university in Nashville, TN, offering world-class interdisciplinary education and award-winning research opportunities.

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Overview

Master the transformative integration of Generative AI and SQL databases to completely reinvent how organizations design, query, and visualize their data systems. This pioneering specialization equips you with the cutting-edge skills to lead database innovation—where SQL and AI converge to create capabilities that were previously unimaginable.

As Generative AI reshapes database practices, companies need specialists who can bridge traditional SQL knowledge with revolutionary AI capabilities. You'll develop the expertise to design resilient database architectures, write sophisticated SQL queries through natural language, and generate powerful visualizations—all by leveraging Generative AI as your collaborative partner.

Syllabus

  • Introduction to Generative AI and SQL
  • Overview of Generative AI
    Introduction to SQL and relational databases
    Importance of integrating AI with SQL databases
  • Fundamentals of SQL
  • Basic SQL syntax and queries
    Data manipulation: SELECT, INSERT, UPDATE, DELETE
    Data definition: CREATE, ALTER, DROP
    SQL functions and joins
  • Generative AI Technologies and Applications
  • Overview of ChatGPT and its capabilities
    Applications of Generative AI in data processing
    Ethical considerations in AI and data management
  • Integrating Generative AI with SQL Databases
  • Designing AI-augmented database systems
    Automating SQL query generation using natural language
    Enhancing database capabilities with Generative AI
  • Advanced SQL for Generative AI
  • Complex query structuring and optimization
    Advanced data retrieval techniques
    Stored procedures and triggers in AI-enhanced systems
  • Visualizations and Data Reporting
  • Tools and platforms for visualizing AI-generated data
    Creating dynamic and interactive reports with AI
    Best practices for interpreting and presenting data insights
  • AI-Driven Database Innovation
  • Case studies of successful AI and SQL integrations
    Trends and future directions for AI in database systems
    Developing a strategy for AI-driven data innovation
  • Capstone Project
  • Designing an AI-integrated SQL database system
    Implementing natural language-driven queries
    Generating and presenting data-driven visualizations
  • Course Review and Future Learning Pathways
  • Recap of key concepts and techniques
    Resources for continued learning in AI and databases
    Career pathways and opportunities as a Generative AI SQL Database Specialist

Taught by

Dr. Jules White


Subjects

Computer Science