Course Overview
About Course
The 40‑hour MySQL Training is a practical and in-depth course designed to transform learners into proficient database professionals. From the outset, it builds a strong foundation in relational database concepts, data types, and MySQL setup—using both CLI and GUI tools like MySQL Workbench .
Learners progress through CRUD operations and essential SQL features—filtering, sorting, and pattern matching—gaining fluency in writing robust queries. They delve into data modeling: designing normalized schemas, managing primary/foreign keys, and enforcing constraints, essential for real-world systems .
The course advances into joins, aggregations, and advanced SQL: subqueries, views, indexing, and stored routines (procedures, functions, triggers)—mirroring industry standards in database development . It emphasizes performance through transaction management (ACID), isolation handling, and query tuning via EXPLAIN plans.
Security and resilience are core: participants learn backup techniques (mysqldump), user roles, privilege structuring, and basic auditing—ensuring robust and secure deployments . Integration modules show how MySQL interacts with apps via Python, Node.js, or PHP, reinforcing its role in modern web stacks .
Exposure to cloud-managed databases (AWS RDS, Cloud SQL), replication concepts, and performance monitoring equips students for enterprise environments . A capstone project consolidates learning, enabling participants to deliver a polished, database-backed application complete with ER diagrams, optimized queries, and backup strategies.
The program offers tool proficiency, real-world labs, cloud experience, and career prep, positioning learners for roles such as Database Developer, DBA, or Backend Engineer. With hands-on training and a strong project portfolio, graduates finish ready to manage complex databases and support data-driven applications.
Course Syllabus
- **Module 1: Introduction & Setup (4 hrs)**
Overview of relational databases and MySQL ecosystem
• Installing MySQL Server and MySQL Workbench
• Exploring essential data types, using SQL*CLI and Workbench - **Module 2: Basic SQL & CRUD Operations (6 hrs)**
CREATE, INSERT, SELECT, UPDATE, DELETE
• WHERE filters, ORDER BY, LIMIT, DISTINCT, pattern matching (LIKE) - **Module 3: Data Modeling & Schema Design (5 hrs)**
Defining primary/foreign keys and normalization principles
• Creating tables, altering schema, and enforcing constraints - **Module 4: Joins, Aggregations & Conditional Queries (6 hrs)**
INNER, LEFT/RIGHT/OUTER JOIN, UNION
• GROUP BY, HAVING, COUNT, SUM, AVG and analytical use cases - **Module 5: Advanced SQL (6 hrs)**
Subqueries, views, indexing
• Stored routines: procedures/functions, triggers, events - **Module 6: Transactions, Tuning & Performance (5 hrs)**
ACID properties, COMMIT/ROLLBACK, isolation levels
• EXPLAIN PLAN, query optimization and index strategies - **Module 7: Backup & Restore, Security Basics (4 hrs)**
mysqldump, logical/physical backup and recovery techniques
• User management, privileges, roles, and basic auditing - **Module 8: MySQL with Applications (4 hrs)**
Connecting MySQL with Python, Node.js, or PHP
• Sample CRUD applications and real-time integration - **Module 9: Cloud & Administration (3 hrs)**
Using managed MySQL in AWS RDS/Cloud SQL
• Performance monitoring, replication, intro to high availability
- **Module 10: Capstone Project (2 hrs)**
Design and implement a complete database-backed application
• Create ER diagrams, optimize queries, setup backups, and demo
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Key Features
- Hands-on exercises: Each module includes practical labs—ranging from basic queries to stored procedures and backup recovery.
- Tool proficiency: Master MySQL Workbench, CLI, and explain-plan optimizers.
- Performance focus: Real-world strategies for indexing, query tuning, and efficient schema design.
- Secure & reliable: Hands-on operations with user permissions, roles, and backup/restore workflows.
- Integrations: Connect MySQL with modern app frameworks like Python, Node.js, and PHP.
- Cloud experience: Manage databases in AWS RDS or Google Cloud SQL environments.
- Capstone Showcase: Build and present a polished, production-ready database application.
- Career preparation: Certification guidance, interview prep, and sample resume tips from ACTE-style training



