Generative AI SQL Database Specialist with ChatGPT Specialization Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This intermediate-level specialization equips learners with practical skills to integrate generative AI into SQL database management. Through hands-on projects and AI-powered techniques, you’ll learn to design databases, generate SQL queries conversationally, and build applications that interact with data using ChatGPT. The program consists of three core courses and a final project, totaling approximately 16 hours of flexible, self-paced learning—ideal for professionals seeking to enhance their database workflows with AI tools.
Module 1: Generative AI Database Design & Management with ChatGPT
Estimated time: 4 hours
- Using AI as an intelligent design partner for database architecture
- Leveraging generative AI for schema simulation
- Performing automated gap analysis in database design
- AI-facilitated requirement discovery for databases
Module 2: Chat with Your Data: Generative AI-Powered SQL Data Analysis
Estimated time: 4 hours
- Transforming natural language questions into SQL queries
- Using AI to answer business questions from database content
- Generating interactive visualizations and dashboards from query results
- Identifying hidden patterns in data using AI-powered analysis
- Debugging and improving SQL queries with generative AI
Module 3: Building Generative AI Apps to Talk to Your Data
Estimated time: 4 hours
- Building applications that convert questions into SQL using AI
- Defining semantic models for AI to understand database context
- Integrating generative AI tools into application workflows
- Ensuring accuracy and reliability in AI-generated queries
Module 4: Prompt Engineering for Database Tasks
Estimated time: 2 hours
- Developing effective prompts for SQL generation
- Iterating prompts to refine AI output
- Applying prompt patterns to common database operations
Module 5: AI-Driven Database Optimization and Simulation
Estimated time: 2 hours
- Using AI to optimize existing SQL database schemas
- Running AI-based simulations for performance improvement
- Conducting pre-implementation gap analysis with AI
Module 6: Final Project
Estimated time: 4 hours
- Design a database schema using generative AI
- Build a conversational interface to query the database
- Generate visualizations and insights from AI-processed results
Prerequisites
- No prior AI or SQL experience required
- Familiarity with basic data concepts is helpful
- Access to a modern web browser and internet connection
What You'll Be Able to Do After
- Generate SQL queries conversationally using AI without writing code
- Design optimized database schemas with AI-powered simulation and gap analysis
- Transform database results into interactive dashboards using AI
- Build applications that enable natural language interaction with databases
- Apply prompt engineering techniques to improve AI-driven database tasks