SQL for AI

About SQL for AI

SQL for AI focuses on leveraging SQL not just for traditional data querying, but also for preparing, analyzing, and feeding data into AI and machine learning workflows. This course teaches how to use SQL to handle large datasets, extract meaningful features, and integrate with AI platforms and tools. Learners will explore AI-enriched databases like BigQuery ML, Azure SQL with ML services, and PostgreSQL extensions for AI. Designed for data analysts, AI engineers, and ML developers, the course equips learners with the skills to bridge structured data management with AI solutions. By the end of the course, students will be able to use SQL to prepare data, run predictive models, and embed AI into reporting systems.

SQL for AI Course Objectives

You will be expertise and eligible for:

• Write advanced SQL queries for feature engineering and data preparation
• Use BigQuery ML to build and train machine learning models directly in SQL
• Perform predictions and classification using SQL-based ML functions
• Connect SQL with Python/R for hybrid AI workflows using SQL Server ML Services
• Integrate with AI APIs (e.g., sentiment analysis, language detection) using SQL procedures
• Use AI-enhanced functions in modern databases like Snowflake, BigQuery, and Azure SQL

Pre-Requisites

The course is ideal for aspiring AI/ML professionals and data analysts with:

• Intermediate understanding of SQL (joins, subqueries, window functions)
• Basic knowledge of data science and machine learning concepts
• Familiarity with cloud platforms (GCP, Azure, or AWS) is a plus

Duration of the Course

• "L" understands the challenges like security, time limitations, and location that prevent many learners from attending traditional classes.
• Duration of 45 sessions.
• 1 hour per day.
• Provides soft copy of every class after its completion.
• Provides class recording sessions.