Accredited & Recognized Excellence

Program Key Benefits

Master Skills: Industry-relevant skills with hands-on training from top corporate professionals.

Eligibility: Open to Any Graduates and individuals with Career Gaps.

Expert Trainers: Led by Mr. Siva / Mr. Mani (15+ Yrs experience), successfully completing 60+ batches.

Program Duration: Comprehensive 1.5 Months training schedule.

Lifetime Access: Class Recorded Videos provided for lifetime review.

Doubt Clarification: Support via Live Classes, WhatsApp, and LMS.

Assessments: Regular Interview Questions and Code Assessments included.

Career Support: Resume Preparation, LinkedIn Profile Creation.

Certificates: Free Training Completion Certificate (Soft Copy) provided.

One-on-One Demo: Get Personalized Training & Clarifications before getting started.

Tools & Technologies Covered

Introduction to Data & Databases Introduction to MySQL MySQL Database Operations MySQL Data Types SQL Commands – DDL, DML, DQL, DCL & TCL Creating & Managing Tables Constraints in MySQL SQL Operators & Filtering MySQL Functions GROUP BY & HAVING SQL Joins Subqueries Views in MySQL Indexes in MySQL Stored Procedures Stored Functions Triggers in MySQL MySQL User Management & Security SQL Transactions & Database Management Generative AI Fundamentals for MySQL AI-Powered SQL Development & Query Optimization Building AI-Powered Applications with MySQL AI-Assisted Database Documentation & Administration Real-Time Projects & Practical Exercises SQL & MySQL Interview Preparation ChatGPT Gemini Copilot

Complete Course Syllabus

• What is Data?
• Raw Data vs Information
• Facts, Figures, Numbers, Text, Images and Videos
• Data Processing and Data Organization
• Real-Time Examples of Data
• What is a Database?
• Database Components and Characteristics
• Database Management Systems (DBMS)
• History and Evolution of Databases
• Relational Database Model – Edgar F. Codd
• SQL vs NoSQL Databases
• Types of Databases:
– Hierarchical Database
– Network Database
– Relational Database (RDBMS)
– NoSQL Database
• Cloud Databases

• What is MySQL?
• History of MySQL
• MySQL Development and Ownership
• MySQL Community vs Enterprise Edition
• Features and Advantages of MySQL
• MySQL Installation and Configuration
• Starting and Stopping MySQL Services
• MySQL Workbench / MySQL Command Line
• Checking MySQL Version
• Database Environments: DEV, QA and PROD

• Creating Databases – CREATE DATABASE
• Displaying Databases – SHOW DATABASES
• Selecting Databases – USE
• Verifying Current Database – SELECT DATABASE()
• Modifying Database Properties – ALTER DATABASE
• Deleting Databases – DROP DATABASE
• Character Sets – utf8mb4
• Collation and Case Sensitivity
• Database Naming Conventions

• Introduction to Data Types
• Numeric Data Types:
– TINYINT, SMALLINT, INT, BIGINT
– DECIMAL, FLOAT
• String Data Types:
– CHAR, VARCHAR, TEXT
• Date & Time Data Types:
– DATE, TIME, YEAR, DATETIME, TIMESTAMP
• BOOLEAN Data Type
• ENUM and SET
• BLOB Data Type
• Bit, Byte, KB, MB, GB and TB
• Choosing Appropriate Data Types
• Practical Table Creation Exercises

• Introduction to SQL Commands
• Database Objects: Tables, Views, Indexes, Procedures, Functions and Triggers
DDL – Data Definition Language
– CREATE, ALTER, DROP, TRUNCATE, RENAME
DML – Data Manipulation Language
– INSERT, UPDATE, DELETE
DQL – Data Query Language
– SELECT
– Selecting Specific Columns
– Column Aliases
DCL – Data Control Language
– GRANT, REVOKE
TCL – Transaction Control Language
– COMMIT, ROLLBACK, SAVEPOINT

• CREATE TABLE
• SHOW TABLES
• DESCRIBE / DESC
• ALTER TABLE
• ADD, MODIFY and DROP Columns
• RENAME TABLE
• TRUNCATE TABLE
• DROP TABLE
• AUTO_INCREMENT
• INSERT Single and Multiple Records
• UPDATE Existing Records
• DELETE Records
• Handling NULL and NOT NULL Values

• What are Constraints?
• NOT NULL Constraint
• UNIQUE Constraint
• PRIMARY KEY
• FOREIGN KEY
• CHECK Constraint
• DEFAULT Constraint
• AUTO_INCREMENT
• Composite Primary Keys
• Primary Key vs Unique Key
• Referential Integrity

• Arithmetic Operators
• Comparison Operators
• Logical Operators (AND, OR, NOT)
• Assignment Operators
• BETWEEN Operator
• IN and NOT IN
• LIKE and NOT LIKE
• IS NULL and IS NOT NULL
• DISTINCT
• WHERE Clause
• ORDER BY – ASC and DESC
• LIMIT and OFFSET
• Column Aliases

String Functions
– LENGTH()
– UPPER() and LOWER()
– CONCAT()
– SUBSTRING()
– REPLACE()
– TRIM()
– LEFT() and RIGHT()
Numeric Functions
– ABS(), ROUND(), CEIL(), FLOOR()
– MOD(), POWER()
Date & Time Functions
– NOW(), CURDATE(), CURTIME()
– DATE(), YEAR(), MONTH(), DAY()
– DATEDIFF(), DATE_FORMAT()
Aggregate Functions
– COUNT(), SUM(), AVG(), MIN(), MAX()
Other Functions
– IF(), IFNULL(), COALESCE()
– CASE WHEN

• Introduction to GROUP BY
• Grouping Records
• GROUP BY with COUNT()
• GROUP BY with SUM()
• GROUP BY with AVG()
• GROUP BY with MIN() and MAX()
• HAVING Clause
• WHERE vs HAVING
• ORDER BY with GROUP BY
• Real-Time Business Reporting Queries

• Introduction to Joins
• Understanding Primary and Foreign Key Relationships
• INNER JOIN
• LEFT JOIN
• RIGHT JOIN
• CROSS JOIN
• SELF JOIN
• Multiple Table Joins
• Joining Three or More Tables
• JOIN with WHERE
• JOIN with GROUP BY
• JOIN with HAVING
• Employee and Manager Relationships
• Customer, Account and Branch Relationships
• Banking Transaction Reports
• Finding Customers Without Loans

• Introduction to Subqueries
• Single-Row Subqueries
• Multiple-Row Subqueries
• Subqueries with IN and NOT IN
• Subqueries with EXISTS and NOT EXISTS
• Correlated Subqueries
• Subqueries in SELECT
• Subqueries in FROM
• Derived Tables
• Nested Subqueries
• Subqueries with Aggregate Functions
• Real-Time Employee Salary Analysis

• What is a View?
• Creating Views
• Retrieving Data Through Views
• Views with WHERE Conditions
• Views with JOIN
• Views with GROUP BY
• Updating Data Through Views
• Inserting Data Through Views
• Deleting Data Through Views
• WITH CHECK OPTION
• CREATE OR REPLACE VIEW
• ALTER VIEW
• SHOW CREATE VIEW
• DROP VIEW

• What is an Index?
• How Indexes Work
• Advantages and Disadvantages of Indexes
• Creating Indexes
• Single-Column Index
• Composite Index
• UNIQUE Index
• Primary Key vs Unique Index
• Indexing for WHERE Conditions
• Indexing for JOIN Operations
• DROP INDEX
• EXPLAIN Query Execution Plan
• EXPLAIN FORMAT=TREE
• Query Performance Optimization

• Introduction to Stored Procedures
• Creating Stored Procedures
• DELIMITER
• Executing Procedures using CALL
• Procedures Without Parameters
• IN Parameters
• OUT Parameters
• INOUT Parameters
• Multiple Parameters
• IF Conditions
• CASE Statements
• Loops and Control Statements
• Variables and DECLARE
• Stored Procedure with SELECT
• Stored Procedure with INSERT, UPDATE and DELETE
• Managing and Dropping Procedures

• What is a Stored Function?
• Stored Procedure vs Stored Function
• CREATE FUNCTION
• RETURN Statement
• Parameters and Return Types
• Local Variables
• DECLARE and SET
• DETERMINISTIC Functions
• Functions with Calculations
• Functions Accessing Table Data
• SHOW FUNCTION STATUS
• SHOW CREATE FUNCTION
• DROP FUNCTION

• What is a Trigger?
• Advantages of Triggers
• BEFORE INSERT
• AFTER INSERT
• BEFORE UPDATE
• AFTER UPDATE
• BEFORE DELETE
• AFTER DELETE
• Understanding OLD and NEW
• Trigger with IF Conditions
• Salary Validation Using Triggers
• Employee Audit Log
• Automatically Recording Employee Changes
• Creating and Managing Triggers

• Creating Database Users
• Understanding Usernames and Hosts
• CREATE USER
• SHOW USERS / Inspecting User Accounts
• GRANT Permissions
• REVOKE Permissions
• SELECT Privileges
• INSERT Privileges
• UPDATE Privileges
• DELETE Privileges
• GRANT ALL PRIVILEGES
• User-Level Access Management
• Admin, Faculty and Student Access Examples

• Transaction Concepts
• COMMIT
• ROLLBACK
• SAVEPOINT
• ACID Properties
• Database Backup
• Database Restore
• Data Recovery Concepts
• Database Security
• Managing Multiple Database Users

• Introduction to Artificial Intelligence (AI)
• Introduction to Generative AI
• Understanding Large Language Models (LLMs)
• How LLMs Understand Natural Language and Generate Responses
• Introduction to ChatGPT, Google Gemini and Claude
• AI Assistants for Database Developers
• Introduction to Prompt Engineering
• Writing Effective Prompts for MySQL Tasks
• Asking AI to Explain Database Concepts
• Generating SQL Queries from Natural Language
• Understanding AI-Generated SQL Statements
• Generating Sample Database Schemas with AI
• Generating Sample and Dummy Data with AI
• AI-Assisted SQL Learning and Practice
• Limitations and Risks of AI-Generated SQL
• Responsible AI Usage and Database Privacy

• Natural Language to SQL (Text-to-SQL)
• Converting Business Questions into MySQL Queries
• Generating SELECT, INSERT, UPDATE and DELETE Queries Using AI
• Generating Complex JOIN Queries Using AI
• Generating Subqueries, CTEs and Aggregate Queries
• AI-Assisted Stored Procedure and Function Generation
• AI-Assisted Trigger Development
• Explaining Complex SQL Queries Using AI
• Debugging SQL Syntax and Logical Errors with AI
• Understanding MySQL Error Messages with AI
• AI-Assisted Query Refactoring
• Query Optimization Suggestions Using AI
• Understanding EXPLAIN Output with AI Assistance
• Indexing Recommendations and Performance Analysis
• Comparing Original and AI-Optimized Queries
• Validating AI-Generated SQL Before Execution

• Introduction to AI-Powered Database Applications
• Understanding LLM API Integration
• Connecting AI Applications to MySQL Databases
• Introduction to Python and MySQL Connectivity
• Connecting Python Applications with MySQL
• Using AI APIs with MySQL-Based Applications
• Passing Database Schema Information to LLMs
• Generating SQL from User Questions Using LLMs
• Executing AI-Generated SQL with Validation
• Handling SQL Errors and AI Responses
• Creating a Natural Language Database Query Interface
• Building an AI-Powered MySQL Query Assistant
• Summarizing MySQL Query Results Using AI
• Database Access Controls and Secure Query Execution
• Handling Sensitive Data and API Keys Securely

• Generating Database Documentation Using AI
• Explaining Tables, Columns and Relationships with AI
• Generating ER Diagram Descriptions from Database Schemas
• AI-Assisted SQL Code Documentation
• Generating Stored Procedure Documentation
• Generating Data Dictionary Descriptions
• AI-Assisted Test Data and Test Case Generation
• Generating Database Validation Queries
• AI-Assisted Database Troubleshooting
• Reviewing Database Backup and Recovery Procedures
• Generating Database Maintenance Checklists
• AI-Assisted MySQL Administration Tasks

Hands-on Projects
Project 1: College Management Database
– Student Management
– Course Management
– Student Admissions
– Fee Management
– Student Marks and Reports
Project 2: Employee Management Database
– Employee Records
– Department Management
– Salary Management
– Employee Attendance
– Employee and Manager Reports
Project 3: Banking Management Database
– Customer Management
– Bank Branches
– Account Management
– Deposits and Withdrawals
– Banking Transactions
– Loan Management
– Customer Transaction Reports
Project 4: Hospital Management Database
– Patient Records
– Doctor Information
– Appointments
– Medicines
– Billing Management
Project 5: E-Commerce Database
– Customer Information
– Product Management
– Orders
– Payments
– Order Status
– Sales Reports
Generative AI Practical Projects
Project 6: AI-Powered Text-to-SQL Assistant
– Convert Natural Language Questions into MySQL Queries
– Execute Validated Queries and Display Results
Project 7: AI SQL Query Explainer & Debugger
– Explain SQL Queries in Simple Language
– Identify Errors and Suggest Corrections
Project 8: AI Database Documentation Assistant
– Generate Table and Column Documentation
– Explain Database Relationships and SQL Code
Project 9: AI-Powered Business Data Assistant
– Ask Business Questions in Natural Language
– Retrieve and Summarize MySQL Reports Using AI

• Basic SQL Interview Questions
• MySQL Database Interview Questions
• Data Types and Constraints
• DDL, DML, DQL, DCL and TCL
• SQL Joins Interview Questions
• Subqueries
• Aggregate Functions
• Views and Indexes
• Stored Procedures and Functions
• Triggers
• Real-Time SQL Query Challenges
• Scenario-Based Interview Questions
• MySQL Query Optimization Interview Questions
• Generative AI and Text-to-SQL Concepts
• AI-Assisted SQL Debugging Exercises
• Practical Database Problem-Solving Exercises
• Resume Preparation and Mock Interviews

On Reviews — What Our Students Say

★★★★★

"I joined the MySQL and Generative AI training and had a great learning experience. The trainer explains every concept step by step with practical examples. I learned database creation, SQL commands, joins, subqueries, functions, and stored procedures. The Generative AI sessions also helped me understand AI-assisted SQL development. Highly recommended for anyone interested in database technologies."