Database Fundamentals for AI

Overview

Technical professionals with a foundation in analytics or data management. It dives into the role of databases in AI applications, covering the design and management of relational database systems (RDBMS) coupled with practical SQL query training.

The course includes hands-on experience, mini-projects, and office hours for additional support.

Syllabus

• Introduction to Databases and AI
Overview of database systems
Importance of databases in AI applications
Types of databases: Relational vs. Non-relational
• Relational Database Design
Fundamentals of RDBMS
Data modeling and entity-relationship diagrams
Normalization and schema design
• SQL for Data Manipulation and Querying
Introduction to SQL syntax
Data definition language (DDL)
Data manipulation language (DML)
Querying and data retrieval techniques
Joins, subqueries, and set operations
• Integrating Databases with AI
Data preparation and cleaning
SQL for data pre-processing in AI models
Case studies of database-driven AI applications
• Database Performance Optimization
Indexing and query optimization
Managing large datasets
Transaction management and concurrency control
• Hands-on Experience
Guided SQL exercises
Design and implement a relational database
Practical mini-projects based on AI use cases
• Advanced Database Topics
Basics of NoSQL databases
Working with time-series and spatial data
Introduction to database security and privacy
• Closing and Support
Office hours for one-on-one assistance
Peer review and collaborative learning sessions
Final project presentation and feedback

Subjects

Programming