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Mastering Software Architecture

Master system design concepts for software engineering interviews and real-world applications. Learn scalability, databases, caching, load balancing, and distributed systems.

Created by Nitil Singh

Last updated 08/2026 English 4.5

Course Description

System Design is a critical skill for software engineers preparing for technical interviews or building large-scale applications. Tech giants like Google, Amazon, Meta, and Netflix emphasize system design to evaluate a developer's ability to build scalable and efficient systems.

This course covers system design fundamentals: client-server architecture, databases, APIs, caching, load balancing, microservices, distributed systems, and case studies. Learners will also solve interview-style system design problems with live mentor-led workshops and hands-on design projects.

By the end, you'll have the confidence to tackle system design interviews and design real-world scalable applications.

Target Audience

  • Software engineers preparing for interviews
  • Backend & full-stack developers building scalable apps
  • Students aiming for product-based companies
  • Professionals transitioning into architect-level roles

Prerequisites

  • Strong knowledge of programming (Java/Python/Node.js recommended)
  • Familiarity with databases & APIs helpful

Learning Outcomes

By completing this course, learners will:

  • Understand fundamentals of scalable system architecture
  • Design APIs, databases, and caching layers
  • Apply concepts like load balancing & replication
  • Work with microservices & distributed systems
  • Solve real-world system design interview questions
  • Build scalable prototypes of popular applications 

Live Components

  • Weekly mock interview sessions on system design
  • Group brainstorming for architecture design
  • Mentor reviews of design documents

Pre-recorded Access

  • Video tutorials on databases, caching, microservices
  • Downloadable design templates & case studies
  • Revision content for interview prep 

Course content

Learning Path
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Course requirements

Software Ready

Prepare your system with the necessary tools and applications to Practice Coding and Programming.

Basic Tools

PDF Reader (for notes and study materials)

Internet Connection

Stable Internet with at least 2 Mbps speed for smooth video streaming and interactive content.

Device

Smartphone, Tablet, Laptop or Desktop Computer.

Instant Academic Support

Have Doubts? Get Answers In Real-Time!

Talk to our expert mentors directly or book a personal 1-on-1 counseling session to clear all your doubts.

  • Flexible Learning
  • Quick Response
  • 24/7 Chat Support

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Go from Engineer to System Architect

A structured journey designed to take you from beginner to industry-ready professional.

2 Weeks of Fundamentals Training

Learn the fundamentals of Data Science, AI, and Machine Learning.

Skill Test: Math, Python, SQL

Score 60% and skip to Step 4: the 12-month Executive Diploma. Else move to Step 3.

3-Month Complimentary Bootcamp

Get started in the basics of math and programming needed in Data, AI, and ML.

Career Support Phase

Train for interviews, make a stellar CV, and build your personal brand.

Your Dream Career

Step confidently into ML, Data Science, and AI roles with guidance and support.

Meet your instructor

Instructor Verified

Nitil Singh

Edtech Mentor and Web Developer !

4.9
Rating
900+
Reviews
1000+
Students
20+
Courses
Biography
I am an enthusiastic educator with 3+ year of experience teaching Robotics, STEM and Automation. I specialize in simplifying complex technical concepts, making them engaging and accessible for learners of all backgrounds. My classes blend theory with hands-on projects, helping st......

I am an enthusiastic educator with 3+ year of experience teaching Robotics, STEM and Automation. I specialize in simplifying complex technical concepts, making them engaging and accessible for learners of all backgrounds. My classes blend theory with hands-on projects, helping students understand how robotics shape the world around us. 

Passionate about fostering curiosity and innovation, I am committed to inspiring the next generation of creators and problem-solvers through practical learning and interactive teaching methods.

Educational Qualification - B.Tech - Computer Science Engineering (CSE)

Experience - 3+ Year in Education-Technology (EdTech) and Web Development.

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