Core Skill Beginner → Advanced
Modern SQL Development with AI Integration
A 2-month live online program: from RDBMS fundamentals to AI-assisted SQL engineering
9 weeks 9 Modules Weekend Batch (Sat & Sun, 09:00 AM - 11:00 AM) 426+ enrolled
About This Course
Hands-on program covering SQL Server fundamentals, multi-table queries, transactions, stored procedures, and AI-assisted development with ChatGPT and Copilot. Designed for real-world data, BI, and analytics roles.
RDBMS fundamentals & schema designDDL & database designDML & query logicJoins, subqueries & CTEsTransactions & concurrencyStored procedures, UDFs & triggersWindow & ranking functionsAI-assisted SQL (ChatGPT / Copilot)Security & production practicesSQL for analytics, ML & cloud
What You'll Achieve
Design and build production-grade databases
Write advanced multi-table queries and analytics
Use AI tools to accelerate SQL development
Implement secure, transactional applications
Build AI-ready data pipelines
Course Curriculum
Week 1
Introduction to Databases & RDBMS Fundamentals
- What is DBMS & RDBMS
- Database architecture basics
- Schema, tables, rows, columns
- Metadata concepts
- Keys & constraints
- Relationships & ER diagrams
- ACID properties overview
- Real-world database examples
- Practical: Designing simple ER diagrams
Week 2
SQL Server Setup & Environment
- Installing SQL Server
- Installing SSMS
- Understanding Object Explorer
- Creating databases
- Database connectivity basics
- Backup & restore introduction
- Practical: SQL Server setup
- Practical: Creating your first database
Week 3
DDL Commands & Database Design
- CREATE, ALTER, DROP
- TRUNCATE
- Constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, DEFAULT
- Import & export data
- Database design best practices
- Practical: Creating real-world tables
- Practical: Building a mini database schema
Week 4
DML Commands & Query Logic (with AI Integration)
- INSERT, UPDATE, DELETE
- SELECT statements
- WHERE, ORDER BY, GROUP BY, HAVING
- Aggregate functions
- String, date, numeric functions
- Operators, expressions & CASE statements
- AI: ChatGPT & Copilot for SQL generation
- AI: Prompt engineering for SQL
- AI: Validating AI-generated SQL
- AI: AI-assisted debugging
- Practical: Writing business queries
Week 5
Multi-table Queries & Data Analysis
- Joins: INNER, LEFT, RIGHT, FULL
- Self joins
- Subqueries & correlated subqueries
- Inline views
- Common Table Expressions (CTEs)
- Business reporting queries
- Natural language to SQL concepts
- AI-assisted analytics workflows
- Practical: Sales & customer analysis queries
Week 6
Transactions & Concurrency Management
- Transactions in SQL
- COMMIT, ROLLBACK, SAVEPOINT
- ACID properties in practice
- Concurrency concepts
- Locks & isolation levels
- Handling multiple users safely
- Practical: Banking transaction examples
- Practical: Concurrent update scenarios
Week 7
Advanced SQL Programming
- Stored procedures
- User-defined functions (UDFs)
- Window functions & ranking functions
- Views
- Triggers: INSERT, UPDATE, DELETE
- Automated database events
- AI-assisted stored procedure generation
- Query optimization basics
- Practical: Automated auditing system
- Practical: Employee salary processing procedures
Week 8
Security, Permissions & Production Practices
- Database security basics
- Users & roles
- GRANT & REVOKE
- Access control
- Production database best practices
- Data privacy basics
- AI data security awareness
- Practical: Creating users & permissions
- Practical: Role-based access setup
Week 9
SQL for AI, Analytics & Modern Applications
- SQL in data analytics
- SQL for machine learning datasets
- Data cleaning with SQL
- SQL + Python integration
- SQL in AI applications
- Modern data pipelines overview
- Intro to cloud databases (Azure / AWS)
- Mini project: AI-ready customer analytics database
Who Is This For?
Aspiring data analysts
BI & database developers
Backend developers
Beginners moving into data
Meet Your Instructor
What Our Students Say
“I had a highly positive experience completing the SQL course with AnalyticShala. The instructor is very knowledgeable, clear and responsive, ensuring an engaging and effective learning experience.”
SameerData Analyst @ Infosys
“I recently took Data Analytics using Python classes with AnalyticShala, and my experience was exceptional. The course provided a deep and practical understanding of the subject.”
NehaManager @ Genpact