System Design & Architecture: Practice Exams

System Design & Architecture: Practice Exams – taught by Himanshu Kaushik – is a comprehensive Udemy course that helps you master system‑design interviews for FAANG and other top tech firms. Updated July 2026, this advanced‑level training delivers 200 realistic interview‑style questions, four full‑length practice exams, and detailed solutions. Whether you search for a free system design course, a system design Udemy course, or want to learn system design online, this program equips you with the practical skills and certification needed to design fault‑tolerant, highly‑available, and globally‑distributed systems.

What You'll Learn

• Build highly scalable web architectures by comparing horizontal vs. vertical scaling and monolithic vs. microservice designs.
• Master database sharding, read replicas, and active‑passive failover strategies for massive global data stores.
• Learn advanced caching patterns such as write‑through and cache‑aside, and integrate CDNs for ultra‑low latency.
• Understand message‑queue systems like Kafka and RabbitMQ and apply token‑bucket rate limiting to protect APIs.
• Create end‑to‑end system‑design solutions for real‑world scenarios such as video‑streaming platforms and high‑frequency trading engines.
• Implement CAP‑theorem trade‑offs and design fault‑tolerant services that stay online during network partitions.
• Analyze performance bottlenecks and optimize cost‑effective infrastructure for cloud‑native deployments.
• Apply interview‑ready communication techniques to articulate architectural decisions clearly to senior engineers.

Course Details

• Instructor: Himanshu Kaushik
• Rating: 5.0 stars
• Level: Advanced
• Language: English (US)
• Enrolled students: 13,348
• Certificate: Yes, upon completion
• Includes: Lifetime access to all materials, 200 practice questions across 4 full‑length exams, downloadable solution PDFs

What This Course Covers

Scalability Fundamentals

• Horizontal vs. vertical scaling trade‑offs and when to choose each approach.
• Monolithic, microservice, and serverless architecture patterns.
• Designing for high availability and fault tolerance in global applications.
• Real‑world case study: scaling a social‑media feed for millions of concurrent users.

Database Design & Sharding

• Principles of data partitioning and sharding strategies for relational and NoSQL stores.
• Configuring read replicas and implementing active‑passive failover mechanisms.
• Managing consistency, latency, and cost in distributed database systems.
• Practical exercise: architecting a global video‑streaming database schema.

Caching & CDN Strategies

• Write‑through, write‑behind, and cache‑aside patterns for reducing latency.
• Selecting and configuring CDNs to serve static assets worldwide.
• Cache invalidation techniques and versioning for dynamic content.
• Hands‑on lab: integrating a CDN with a multi‑region e‑commerce platform.

Message Queues & Rate Limiting

• Designing asynchronous pipelines with Kafka and RabbitMQ.
• Implementing token‑bucket and leaky‑bucket algorithms for API rate limiting.
• Monitoring queue health and handling back‑pressure in high‑throughput systems.
• Scenario walkthrough: protecting a checkout API from DDoS attacks.

System‑Design Practice Exams

• Four full‑length, timed practice exams mirroring elite interview environments.
• 200 curated questions covering scalability, data storage, caching, messaging, and more.
• Detailed answer guides that explain trade‑offs and expected interview responses.
• Self‑assessment checklist to track progress and identify knowledge gaps.

Who Should Take This Course

• Backend developers aiming to transition into senior or architect roles.
• Software engineers preparing for system‑design interviews at FAANG, Microsoft, or similar companies.
• Cloud architects who need to design cost‑effective, globally distributed services.
• Technical interview coaches seeking realistic practice material for their students.
• Experienced programmers who want a structured, exam‑focused review of system‑design concepts.

Prerequisites

• Strong foundation in data structures, algorithms, and core programming concepts.
• Familiarity with at least one modern programming language (e.g., Java, Python, Go).
• Basic understanding of cloud platforms (AWS, GCP, Azure) is helpful but not mandatory.

Why Enroll in This Course

The course delivers a free coupon that grants 100 % off for a limited time, making it an unbeatable value for anyone serious about mastering system design. Because the content is updated for 2026, you receive the latest industry practices and interview trends, ensuring you stay ahead of the competition. Compared with generic tutorials, this Udemy course combines theory, hands‑on labs, and realistic practice exams, giving you a complete preparation package in one place.

Course Highlights

• Lifetime access to all video lectures, practice exams, and solution PDFs.
• Self‑paced learning allows you to study whenever and wherever you want.
• Certificate of completion that you can showcase on LinkedIn or your résumé.
• Real‑world interview questions modeled after FAANG system‑design challenges.
• Mobile‑friendly platform lets you review concepts on phones or tablets.
• 30‑day money‑back guarantee for risk‑free enrollment (applies even with the free coupon).

Frequently Asked Questions

Q: Is this course really free?
A: Yes. A free coupon provides 100 % off the regular price, giving you full access to all materials at no cost while the coupon remains valid.

Q: What will I learn in this system design course?
A: You will learn how to design scalable architectures, choose appropriate database strategies, implement caching and CDNs, use message queues, apply rate‑limiting techniques, and practice with 200 interview‑style questions that cover real‑world scenarios.

Q: Do I get a certificate after completing this course?
A: Upon finishing all modules and practice exams, you receive a Udemy certificate of completion that you can add to your professional profile.

Q: Is this course suitable for beginners?
A: The course is labeled Advanced and assumes solid programming and algorithm knowledge. Beginners may find the