Sql Mastery With Generative Ai: From Beginner To Expert

Learn SQL with PostgreSQL, ChatGPT, Generative AI tools — from basics to advanced queries for real-world data analysis

What you'll learn

Understand the fundamentals of databases and SQL using PostgreSQL

Write SQL queries to extract, filter, and sort data effectively

Use joins, queries, and aggregate functions for complex analysis

Master advanced SQL concepts like functions and CTEs

Apply AI-powered tools (like ChatGPT) to generate and optimize SQL queries

Troubleshoot errors and debug SQL code with AI assistance

Automate reporting and dashboard preparation with SQL + AI

Practice real-world business use cases: sales, management, and e-commerce data

Optimize queries for performance and scalability in PostgreSQL

Build confidence to apply SQL in data analytics, business intelligence, and decision-making

Requirements

No prior SQL or database knowledge needed — this course starts from scratch

A computer (Windows, Mac, or Linux) with internet access

Willingness to install PostgreSQL and a SQL client tool (step-by-step guidance provided)

Curiosity to learn and practice SQL with the help of Generative AI tools like ChatGPT

Description

Unlock the power of data with SQL Mastery with Generative AI: From Beginner to Expert, a transformative course designed to help you learn SQL faster, smarter, and more effectively using AI-powered guidance. Whether you are completely new to databases or looking to sharpen your skills, this course will take you on a structured journey from SQL fundamentals to advanced techniques — all while leveraging the power of ChatGPT-like AI tools for interactive learning and real-world problem solving.The course focuses on PostgreSQL, one of the most popular and powerful open-source relational database systems used by businesses worldwide. You’ll start with the basics: understanding databases, writing your first queries, and mastering essential commands to extract, filter, and analyze data. As you progress, you’ll dive deeper into advanced concepts like joins, queries, functions, and performance optimization — the very skills that separate beginners from true SQL experts.What makes this course unique is the using of Generative AI. With AI-powered query assistance, code explanations, and instant practice prompts, you’ll learn not just by memorizing syntax but by engaging in a conversational, hands-on approach. Imagine having an AI tutor available 24/7 to help troubleshoot errors, suggest optimized queries, and guide you through real-world data analysis scenarios. This makes your learning journey faster, more intuitive, and aligned with modern workflows where AI and SQL go hand in hand.By the end of the course, you will confidently use PostgreSQL for business analysis, dashboards, reporting, and data-driven decision-making. Whether you are a student, business analyst, data enthusiast, or aspiring data professional, this course empowers you to master SQL and harness the potential of AI to stay ahead in the data-driven world.Enroll today and take your first step toward becoming an SQL expert with the power of AI by your side!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Getting started on Windows, Mac or Linux

Lecture 3 How to ask great questions

Lecture 4 FAQ’s

Section 2: Introduction to Generative AI - ChatGPT

Lecture 5 What is ChatGPT

Lecture 6 Generative AI (Gen AI) for Developers

Lecture 7 Setting up ChatGPT for SQL Help

Lecture 8 How to use ChatGPT Gen AI

Lecture 9 ChatGPT for your day-to-day tasks (Prompting Basics)

Section 3: Introduction to PostgreSQL

Lecture 10 What is PostgreSQL

Lecture 11 Why Choose PostgreSQL? Futures and Benefits

Lecture 12 Understanding the PostgreSQL Ecosystem

Section 4: Setting up PostgreSQL Server Environment

Lecture 13 Installation and setup (Windows)

Lecture 14 Installation steps for macOS and Linux

Lecture 15 Exploring pgAdmin and Command-Line Tools

Section 5: Quick Reference Guide for PostgreSQL Database

Lecture 16 Cheat Sheet Quick Reference Notes on PostgreSQL

Section 6: SQL Basics – Learn by Doing with AI

Lecture 17 Create Database – Table - Adding Sample Data using AI

Lecture 18 Basic SELECT Queries

Lecture 19 Filtering Data with WHERE

Lecture 20 Sorting Data with ORDER BY

Lecture 21 Using AI Prompts to Explain SQL Syntax

Section 7: SQL AI : 100+ AI Prompts Book

Lecture 22 100+ SQL AI Prompts Booklet

Section 8: PostgreSQL Fundamentals

Lecture 23 Relational Database Concepts

Lecture 24 Data Types and Schemas

Lecture 25 Creating and Managing Databases

Section 9: Database Tables

Lecture 26 CREATE a table using pgAdmin

Lecture 27 ALTER a table (modification)

Lecture 28 DELETE a table

Lecture 29 CREATE a table using SQL

Section 10: SQL Commands (CRUD functionality) Queries

Lecture 30 CREATE operation (Insert Data)

Lecture 31 READ operation (Select Data)

Lecture 32 UPDATE operation (Modify Data)

Lecture 33 DELETE operation (Remove Data)

Section 11: Mastering the SQL Basics

Lecture 34 SQL statement basics

Lecture 35 SELECT statement

Lecture 36 Eliminating Duplicates with SELECT DISTINCT

Lecture 37 COUNT() Column AS statement for Dashboards

Section 12: Data Reporting: Data Row Filtering

Lecture 38 SELECT and WHERE Clause

Lecture 39 SELECT and WHERE: Filtering Data in SQL

Lecture 40 Sorting Data with the ORDER BY Clause

Lecture 41 Efficient Data Selection with the LIMIT Clause

Lecture 42 Using LIMIT with an Offset

Section 13: Data Management: Aggregate Functions in SQL

Lecture 43 Using SUM() in SQL: Calculating Total Values

Lecture 44 Calculating Averages with the AVG() Function in SQL

Lecture 45 Finding the Minimum Value with the MIN() Function in SQL

Lecture 46 Extracting the Maximum Value with the MAX() Function in SQL

Section 14: Data Aggregation: Learn by doing Functions with Generative AI

Lecture 47 Using SQL Built-in Functions (Text, Math, Date)

Lecture 48 Aggregate Functions: SUM, AVG

Lecture 49 Aggregate Function: COUNT

Section 15: Data Management: Advanced Aggregate Functions in SQL

Lecture 50 Grouping Data Efficiently with the GROUP BY Clause

Lecture 51 Advanced Data Filtering Leveraging the HAVING Clause in SQL

Section 16: Data Management: Advanced Functions using AI

Lecture 52 GROUP BY Clause - Organize and Summarize Your Data

Lecture 53 Filtering Groups with HAVING: Go Beyond WHERE

Section 17: Data Modelling: Mastering JOINS using Generative AI

Lecture 54 SQL JOINS Explained with AI

Lecture 55 Combining Multiple Tables with AI Guidance

Lecture 56 Writing JOIN Queries Faster with AI Templates

Lecture 57 Debugging JOIN Errors Using Generative AI

Section 18: Data Management: JOINS in SQL - Combining Data Across Tables

Lecture 58 Introduction to JOINS in SQL: Combining Data Across Tables

Lecture 59 Writing INNER JOIN: Retrieving Data from Multiple Tables

Lecture 60 Using LEFT JOIN: Retrieving All Records from Left Table

Lecture 61 Right JOIN in SQL: Retrieving Data from the Right Table

Lecture 62 Using FULL OUTER JOIN: Combining Results from Both Tables

Section 19: Data Management: Mastering SQL Constraints for Data Integrity

Lecture 63 Enforcing Non-Null Values with the NOT NULL Constraint

Lecture 64 Ensuring Unique Data with the UNIQUE Constraint

Lecture 65 Uniquely Identifying Records with the PRIMARY KEY Constraint

Lecture 66 Maintaining Referential Integrity with the FOREIGN KEY Constraint

Section 20: Real-World Projects with AI Support

Lecture 67 E-Commerce Data Analysis Project

Lecture 68 Employee Management System Queries

Lecture 69 Sales & Revenue Dashboard Queries

Section 21: Prompt Engineering for SQL using Generative AI - ChatGPT

Lecture 70 How to Write SQL-Specific Prompts

Lecture 71 Best Practices: Using AI Ethically and Efficiently

Lecture 72 Creating a Prompt Library for SQL Productivity

Lecture 73 Challenge: Automate SQL Reporting with AI

Section 22: Database Management: Ensuring Data Security with Backup and Restore

Lecture 74 Mastering Database Backups: Ensuring Data Integrity

Lecture 75 Restoring Databases: Ensuring Business Continuity

Section 23: Database Management: Capstone Project

Lecture 76 Create a Database

Lecture 77 Design the Schema - Company Management System

Lecture 78 Insert Sample Data

Lecture 79 Querying the Data

Lecture 80 Optimizing the Database – Indexing

Lecture 81 Optimizing the Database – Query Analysis

Lecture 82 Optimizing the Database – Vacuum and Analyze

Lecture 83 Optimizing the Database – Partitioning (for Large Data)

Lecture 84 Backup and Restore – Backup the Database

Lecture 85 Backup and Restore – Restore the Database

Beginners who want to start their journey into databases and SQL from scratch,Business Analysts who need SQL skills to create reports, dashboards, and data insights,Students & Job Seekers preparing for data analytics, data science, or database-related careers,Developers & Programmers looking to strengthen their backend and database knowledge,Managers & Decision-Makers who want to leverage SQL and AI for smarter, data-driven decisions,Anyone Curious About AI + SQL who wants to see how Generative AI can accelerate learning and productivity