AI Integrated SQL Programming Course
New Batch Starting Soon — Limited Seats
AI Integrated SQL Programming
Master SQL for Data Analytics, QA Testing, Business Intelligence, and AI-powered workflows. Learn how to write queries, analyze data, validate databases, and leverage AI tools to work faster and smarter.
- No programming experience required
- Learn SQL from beginner to advanced level
- Real-world database projects and assignments
- AI tools integrated throughout the program
- Interview preparation and career guidance
2,500+
Students Trained
15+
SQL Concepts
10+
Years Experience
Career Outcomes
Where SQL Can Take You
SQL is one of the most requested technical skills across analytics, reporting, testing, and business intelligence roles.
Data Analyst
Extract, analyze, and interpret business data to support decision-making.
Reporting Analyst
Build reports, KPIs, and operational dashboards using SQL-driven datasets.
Database Tester
Validate backend systems and verify data integrity within applications.
Business Intelligence Analyst
Transform raw data into meaningful insights for business leaders.
Struggling To Learn SQL The Right Way?
The Challenge
Where most people get stuck
- Watching tutorials but unable to write queries independently
- Confused about joins, subqueries, and advanced SQL concepts
- Memorizing syntax without understanding business use cases
- Unable to solve interview questions confidently
- Unsure how AI can help with SQL learning
The Solution
How This Program Makes SQL Practical
- Learn SQL through real business scenarios
- Build confidence through hands-on assignments
- Use AI tools to explain, generate, and optimize SQL queries
- Practice interview-focused SQL exercises
- Work with realistic databases used in industry
Why This Course
Built For Real Jobs, Not Just Certifications
Hands-on Learning
Write queries against real databases and solve practical business problems.
SQL Interview Confidence
Practice common interview questions, scenarios, and challenges.
AI as a Productivity Accelerator
Use ChatGPT and AI tools to improve SQL learning and efficiency.
Real Work Simulation
Perform tasks similar to those done by analysts, testers, and reporting teams.
Industry-Relevant Skills
Learn SQL skills actively used in Canadian organizations.
Career Guidance
Resume, LinkedIn, and interview support included.
Is This Right For You?
Everything You Need to Know
Who Should Join
- Aspiring Data Analysts
- QA Testers
- Business Analysts
- Reporting Professionals
- Career Switchers
- Students entering the IT industry
Prerequisites
- Basic computer knowledge
- No coding experience required
- Willingness to practice
- Laptop and internet connection
Why This Course
- Practical learning approach
- Real-world database scenarios
- AI-powered workflows
- Interview-focused training
Why Roicians
- Industry-experienced instructors
- Hands-on projects
- Career-focused curriculum
- Small batch learning
- Practical mentorship
Don't wait — the next batch is filling up fast
Course Curriculum
What You Will Learn
Structured, hands-on training — from BA foundations through agile delivery, testing, tools, and job-readiness.
SQL Foundations & Database Concepts
- Introduction to SQL
- Relational Database Fundamentals
- Understanding Database Structures
- AI Tools for SQL Learning
- Use ChatGPT and Claude to simplify SQL concepts
- Generate examples and practice exercises
- Accelerate learning through AI-assisted explanations
Data Retrieval Fundamentals
- SELECT Statements
- Working with Columns
- Understanding Tables
- Generate sample queries
- Understand query outputs using AI
- Practice query-writing exercises
Data Filtering Techniques
- Data Filtering
- Comparison Operators
- NULL Handling
- Create filtering scenarios
- Troubleshoot query conditions
- Improve query accuracy using AI prompts
SQL Environment Setup & Database Configuration
- SQLite Setup
- SQL Server Installation
- CSV Data Import
- Assist with installation issues
- Troubleshoot environment setup problems
- Generate setup guidance and best practices
Mathematical Operations in SQL
- Arithmetic Operators
- Calculations
- SQL Expressions
- Generate business calculations
- Validate formulas and expressions
- Create real-world calculation examples
String Operations & Logical Conditions
- String Concatenation
- Comparison Operators
- AND / OR / NOT Conditions
- Build customer-reporting queries
- Generate logical condition examples
- Improve query-writing efficiency.
Set Operations & Advanced Filtering
- UNION
- INTERSECT
- EXCEPT
- IN
- BETWEEN
- LIKE
- Generate practice datasets
- Compare multiple query approaches
- Create advanced filtering scenarios
String Functions & Data Formatting
- UPPER
- LOWER
- LENGTH
- SUBSTR
- TRIM
- Clean and standardize business data
- Generate formatting solutions
- Improve data quality processes
Numeric Functions & Calculations
- ROUND
- ABS
- MOD
- POWER
- SQRT
- Create analytical examples
- Generate financial calculations
- Validate mathematical operations
Aggregate Functions & Reporting
- COUNT
- SUM
- AVG
- GROUP BY
- HAVING
- Generate KPI reports
- Create dashboard-oriented queries
- Build reporting scenarios
SQL Command Categories
- DDL (Data Definition Language)
- DML (Data Manipulation Language)
- DCL (Data Control Language)
- TCL (Transaction Control Language)
- Understand practical use cases
- Learn command selection strategies
- Explore real-world examples
Data Definition Language (DDL)
- CREATE
- ALTER
- DROP
- INDEX
- Generate optimized table structures
- Create schema recommendations
- Improve database design decisions
Data Manipulation Language (DML)
- INSERT
- UPDATE
- DELETE
- Generate sample datasets
- Validate DML operations
- Practice data modification scenarios
Working with SQL Joins
- INNER JOIN
- LEFT JOIN
- RIGHT JOIN
- FULL JOIN
- SELF JOIN
- Visualize table relationships
- Generate complex join scenarios
- Improve understanding of relational data
Subqueries & Nested Queries
- Correlated Subqueries
- Non-Correlated Subqueries
- EXISTS
- Convert business questions into SQL solutions
- Generate nested query examples
- Simplify complex query logic
Data Sorting & Result Limiting
- ORDER BY
- LIMIT / TOP
- Result Set Management
- Generate ranking scenarios
- Create reporting requirements
- Optimize result presentation
Advanced Analytics with Window Functions
- ROW_NUMBER
- RANK
- LEAD
- LAG
- Build analytical reports
- Create trend analysis queries
- Explore advanced reporting techniques
Data Integrity & Constraints
- PRIMARY KEY
- FOREIGN KEY
- UNIQUE
- NOT NULL
- CHECK
- Validate database designs
- Identify integrity issues
- Improve data quality and consistency
Capstone Project – Database Development
- Schema Creation
- Database Design
- Foundational Query Development
- Design project requirements
- Generate database models
- Review and improve project structure
Capstone Project – Reporting & Optimization
- Advanced Reporting
- Query Optimization
- Final Review
- Generate project documentation
- Optimize SQL queries
- Prepare for interviews using AI
Bonus AI Modules Included Throughout the Program
- Prompt Engineering for SQL Professionals
- Using ChatGPT, Claude, and GitHub Copilot for SQL Development
- Query Optimization with AI
- AI-Powered Interview Preparation
- AI-Based Documentation and Query Explanation
Tools & Technologies
Skills Employers Expect From SQL Professionals
Some of the skills that employers expect from SQL professionals.
Query Writing
Write accurate and efficient SQL queries.
Data Analysis
Transform raw data into meaningful insights.
Reporting
Create business reports and KPI summaries.
Data Validation
Verify and troubleshoot data issues.
Advanced SQL
Master joins, subqueries, and analytical queries.
AI-Powered Productivity
Use AI tools to learn faster and work smarter.
How It Works
Your Journey To SQL Mastery
Build Foundations
Understand databases and SQL fundamentals.
Write Real Queries
Practice using realistic business scenarios.
Develop Problem-Solving Skills
Learn how analysts and testers use SQL daily.
Become Job Ready
Prepare for interviews and practical assessments.
What Our Students Say
Students Reviews
Detailed Course Information
Course Schedule
| Start Date | Weekend/ Weekdays | Timing | Mode | Action |
|---|---|---|---|---|
| 07 Jul 2026 | Weekdays | 06:00 PM - 08:00 PM | Online | Enroll Now |
FAQs
Frequently Asked Questions
Below are some of the frequently asked questions related to data analytics with AI tools course in Canada
Do I need any prior SQL or programming experience?
No. This course starts with SQL foundations and gradually progresses to advanced topics. Beginners are welcome.
. Is this course suitable for non-technical professionals?
Yes. The course is designed for beginners, career changers, students, and working professionals who want to learn SQL and modern AI-assisted workflows.
What databases will be used during the training?
Students will work with SQLite and SQL Server to gain practical experience with database setup, query writing, and data management.
How is AI integrated into the course?
Throughout the program, students will learn how to use AI tools such as ChatGPT, Claude, and GitHub Copilot to:
- Generate SQL queries
- Understand SQL concepts
- Troubleshoot errors
- Optimize queries
- Prepare for interviews
Will AI replace the need to learn SQL?
No. AI can assist with SQL, but professionals still need to understand database concepts, query logic, joins, reporting, and data analysis. This course teaches both SQL fundamentals and effective AI usage.
Will there be hands-on practice?
Yes. The program includes practical exercises, assignments, query-writing activities, and a capstone project to reinforce learning.
What is the capstone project?
Students will complete a project involving database design, schema creation, query development, reporting, and query optimization using SQL and AI-assisted techniques.
Will I learn advanced SQL topics?
Yes. The course covers joins, subqueries, aggregate functions, window functions, constraints, query optimization, and reporting techniques.
Is this course useful for Data Analysts and Business Analysts?
Absolutely. SQL is one of the most important skills for Data Analysts, Business Analysts, Reporting Analysts, and other data-focused roles.
Is SQL useful for QA and Software Testing professionals?
Yes. SQL is commonly used by QA professionals to validate data, verify business rules, troubleshoot issues, and support testing activities.
Will I receive interview preparation support?
Yes. The course includes SQL interview preparation, practice questions, AI-assisted mock interview exercises, and guidance on answering SQL-related interview questions.
What career paths can benefit from this course?
This course is valuable for:
- Data Analysts
- Business Analysts
- Reporting Analysts
- QA Professionals
- Automation Testers
- Developers
- Database Professionals
- Anyone working with data
Will I get access to course recordings?
Yes. Session recordings are provided so students can revisit concepts and learn at their own pace.
What AI tools will be covered?
Students will gain exposure to:
- ChatGPT
- Claude
- GitHub Copilot
and learn practical ways to use them in SQL-related tasks.
What will I be able to do after completing the course?
By the end of the program, students will be able to:
- Write SQL queries confidently
- Retrieve and analyze data
- Work with joins and subqueries
- Build reports using SQL
- Use AI tools to improve productivity
- Complete SQL-based projects
- Prepare for SQL interviews
Call us:+1 (289)-499-4040
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