SQL & Relational Database Foundations

5.0

5 weeks

Live Course

Design, query, and manage relational databases using structured SQL and sound data modeling principles.

Your Instructors

Sukhvinder Singh

Building Future-Ready Talent Through Practical AI & Cloud Training

Course Overview

SQL & Relational Database Foundations is a structured, self-paced module designed to build strong data-layer fundamentals required for backend application development. This course focuses on relational database design principles and structured SQL querying techniques used in real-world systems.

Learners explore core relational concepts including tables, primary and foreign keys, normalization basics, and data integrity. The module emphasizes writing clean, efficient SQL queries using SELECT, WHERE, ORDER BY, JOIN operations, and aggregate functions. Practical exercises reinforce multi-table querying, filtering, grouping, and reporting patterns commonly used in application-driven environments.

Each section follows a Learn → Practice → Apply model, combining conceptual lessons, guided query labs, and a milestone project that simulates real-world reporting and data retrieval scenarios.

By the end of this module, learners will be able to design relational schemas and write structured SQL queries that support application requirements and prepare them for backend API integration in subsequent modules.

What you'll get out of this course

Understand core relational database concepts including tables, rows, columns, primary keys, and foreign keys.

Design structured relational schemas using normalization fundamentals and sound data modeling principles.

Write SQL queries using SELECT, WHERE, ORDER BY, and aliases to retrieve and organize data.

Perform multi-table queries using INNER JOIN and LEFT JOIN to combine related data.

Use aggregate functions (COUNT, SUM, AVG, MIN, MAX) with GROUP BY and HAVING clauses to analyze data.

Apply filtering, sorting, and conditional logic to support reporting and application-driven queries.

Design and execute structured SQL queries that reflect real-world backend data requirements.

Course content

Course Syllabus

1 item

1 lecture

SQL Fundamentals and Query Basics

11 items

11 lectures

Core SQL Querying

16 items

16 lectures

Joins and Relational Queries

8 items

8 lectures

Aggregations and Grouping

9 items

9 lectures

SQL Reporting & Business Questions

11 items

11 lectures

Assessments

2 items

2 lectures

5.0

Hear From Other Students

This module made SQL finally “click” for me. The progression from simple SELECT statements to multi-table joins and aggregations was structured and practical. The hands-on labs felt like real backend scenarios, not textbook exercises.

Alicia Morgan

Junior Backend Developer

The database design portion was extremely valuable. Understanding primary keys, foreign keys, normalization, and relationships helped me connect SQL to real application development. The milestone project felt like something I would actually build on the job.

Daniel Reyes

Software Engineer

Your Instructors

Sukhvinder Singh

Building Future-Ready Talent Through Practical AI & Cloud Training

Hello,

I’m a seasoned IT professional with over 15 years of experience in training and mentoring across a wide spectrum of technologies. Currently, I serve as a Senior Manager - Mentoring & Technology at Genspark (Pyramid Consulting), GA, USA, where I specialize in shaping future-ready talent in cutting-edge domains like cloud computing, cybersecurity, software development, and automation.

With certifications in Google Cloud and strong expertise in programming, web technologies, network security, and DevOps, I’ve now expanded my focus to the transformative domain of Generative AI—a field revolutionizing how we build intelligent, creative, and automated solutions.

In this training, we’ll explore the foundations and practical applications of GenAI, including prompt engineering, fine-tuning, use cases in automation/testing, and integration with different tools. Whether you're a tester, developer, or aspiring AI enthusiast, you’ll gain the skills needed to leverage GenAI in real-world projects.

Let’s dive in and unlock the potential of Generative AI in software testing and automation. Looking forward to an engaging and insightful learning journey with you all!

Kelley Scharf

Training Operations Manager

I’m the Training Operations Manager at GenSpark, where I coordinate large-scale training initiatives and serve as a liaison between clients, consultants, and internal teams. I manage everything from onboarding and upskilling to consultant performance tracking and client relationship development to ensure our programs deliver impact at every level.

For every cohort, I focus on keeping the program moving forward, from managing logistics and tracking outcomes to supporting trainers and ensuring you have the resources you need to succeed.

Outside of work, I’m usually organizing something in a spreadsheet or spending time with my wife and 6-year-old Siberian Husky, Ace.

Adam Ingram

Director of Technical Training & Development | Building Tomorrow’s Tech Workforce

I’m the Director of Technical Training & Development at GenSpark, where I design and lead large-scale training programs that connect academic learning with real-world industry needs.

I’m passionate about building talent and driving workforce innovation. Over the years, I’ve developed and deployed nationwide programs across technologies like Mainframe, RPG, Oracle EBS, Guidewire, Cybersecurity, and Generative AI.

My focus is on creating immersive “Hire-Train-Deploy” models that help entry- and mid-level professionals accelerate into meaningful roles with top enterprise clients. I combine technical training, leadership development, and hands-on learning design to prepare learners for long-term success in the tech industry.

When I’m not building the next generation of tech talent, you’ll usually find me traveling with my family, exploring the outdoors in our Grand Design Momentum RV, or creating new and engaging educational content.

Frequently Asked Questions

Do I need prior SQL experience?
What tools will I use in this course?
Is this focused on theory or practical querying?
How does this module support backend development?
Will performance and data integrity be covered?