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Advanced System Design + Interview Preparation

Join Advanced System Design + Interview Preparation to master large-scale architectures and crack high-stakes tech interviews! Build confidence in designing distributed, scalable systems, practice solving real-world design challenges, and prepare for coding + design interviews at top product companies — all while learning to leverage AI for mock interviews, feedback, and optimization.

Sritam Behera

Sritam Behera

Advance

Problem-Solving & System Architecture
Our Course Benefits
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System Design Mastery

End-to-End Interview Prep

Mock Interviews with Feedback

Real-World Design Case Studies

Coding + Design Integration

Mentorship Support

Step-by-Step Learning Path

Confidence to Crack Interviews

Career Sectors & Job Roles
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Big Tech & Product Companies

Backend & Platform Engineering

Enterprise IT & Consulting

Startups & Scale-Ups

Competitive & Career Advancement

AI-Enhanced Careers

What to expect from this course
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The course, Advance System Design + Interview Preparation, is built to transform you into a system design expert and an interview-ready professional. This program dives deep into designing scalable, reliable, and distributed systems while preparing you for coding + design interviews at the highest level.

You'll begin with the essentials of scalability, APIs, databases, and caching, then progress to advanced distributed architectures, real-world case studies, and trade-off analysis. Parallelly, you'll sharpen your coding interview preparation through targeted problem sets, mock interviews, and structured feedback.

With AI-powered mock simulations, interview frameworks, and mentor support, you'll gain the ability to handle everything from coding rounds to system design discussions with clarity and confidence.

By the end of the course, you'll be interview-ready for roles such as Backend Engineer, System Design Specialist, Solution Architect, or Senior Software Engineer at top tech firms and startups. You'll carry not just the knowledge, but the confidence to succeed in high-pressure technical interviews and real-world engineering challenges.

This program combines career-focused guidance, real-world case studies, and interview simulation practice to ensure you’re ready to crack your dream job.

The Curriculum
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  • What interviewers expect, scalability (vertical vs horizontal, stateful vs stateless)
  • Load balancing, reverse proxy, caching tiers, intro to CDNs

  • Availability, Reliability, SLAs, SLIs, resiliency, retries, circuit breakers
  • Failover (hot/warm/cold standby), replication, geo-distribution

  • ACID vs BASE, CAP theorem trade-offs
  • Sharding strategies (range, hash, consistent hashing)

  • Replication strategies (leader–follower, multi-leader, quorum)
  • Distributed storage, data lakes vs warehouses

  • Consensus, leader election, distributed coordination (Zookeeper, Raft)
  • Idempotency, eventual consistency, sagas & compensation

  • Example: Rate Limiter → Apply: scalability, fairness, distributed tokens
  • Example: URL Shortener → Apply: caching, availability, DB sharding

  • Example: Payment System → Apply: idempotency, ACID vs BASE, reliability
  • Example: Distributed Message Queue → Apply: replication, failover, durability

  • Example: Notification System → Apply: retries, fan-out, message queues
  • Example: News Feed / Social Media Feed → Apply: fan-out models, ranking

  • Example: Key-Value Store → Apply: sharding, replication, CAP
  • Example: Search Autocomplete → Apply: tries, caching, low-latency lookups

  • Example: Web Crawler → Apply: distributed coordination, politeness, storage
  • Example: CDN / Web Proxy → Apply: replication, caching, failover

  • Example: Video Streaming Service → Apply: CDN, chunking, adaptive bitrate
  • Example: Metrics / Analytics Platform → Apply: batch vs streaming, aggregation

  • Example: Q&A Platform → Apply: search, feed, moderation, caching
  • Example: Ride-Hailing System → Apply: geo-distribution, matching, failover

  • Example: Chat System → Apply: WebSockets, delivery guarantees, scaling
  • Example: Advertisement System → Apply: ranking, auctions, relevance

  • Vector DBs & Semantic Search → tie back to Search Autocomplete & Q&A
  • AI-assisted systems & orchestration (ex: AI coding assistant)

  • Students pick one large-scale system (e.g., ride-hailing, video streaming, ads) and design end-to-end (scalability, failover, storage, monitoring)

  • Mock system design interviews.
  • Instructor feedback on clarity, trade-offs, fundamentals recall

Explore Our Projects/Case Studies

The project adheres to a comprehensive 7-step framework, which includes: defining requirements, developing APIs, estimating resources, modeling data, creating a high-level design, detailing components, and addressing bottlenecks and scaling.

Twitter (Microblogging)

This case study explores Twitter's high-level design. It investigates how to handle high read/write throughput, optimize feed generation, manage notifications and address challenges like hashtag management. It emphasizes on designing a core system, managing data, and developing a strong caching strategy.

Instagram (Photo & Video Sharing)

This case study explores the high-level design of Instagram. It investigates how to handle petabytes of data, scaling image and video storage, designing news feeds and timelines, and optimizing user engagement. It emphasizes on designing core systems, storing media, and developing a strong caching strategy.

WhatsApp (Messaging System)

This case study explores the high-level design of a popular messaging platform that facilitates real-time communication. It investigates how to handle message delivery across diverse devices, this challenges addressed include offline message handling, media file transmission, and a user system powered by reliable offline storage for users.

Slack/Discord

This case study examines digital collaboration platforms like Slack and Discord. It investigates how to handle real-time messaging, how to include scaling live chat systems and building a solid data model. It emphasizes on a reliable under heavy loads.

YouTube (Video Platform)

This case study covers the end-to-end video platform design. It investigates how to handle a large number of video recommendations. It emphasizes challenges like video encoding, data transfer, and optimization of video streaming along with millions of queries.

Netflix (On-Demand Streaming)

This case study investigates personalized content delivery through a subscription plan. It emphasizes on data management, high availability, ensuring smooth streaming across devices and geo-distributed delivery on a global scale.

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Get the complete course details in our brochure.

Discover all the essential information about our courses in our detailed brochure. Get insights on curriculum, schedules, and enrollment options to help you make the best choice for your education.

Ready to Start Your System Design Journey?

Join System Design to enhance your problem-solving skills and master scalable architecture! Improve your expertise in design patterns, tackle complex coding challenges, and create system designs inspired by tech giants, all while discovering how AI is transforming software engineering.

Monthly EMI options upto (24) Months
Monthly EMI options upto (24) Months

Flexible monthly EMI plans available for up to 24 months.

Modes of Payment ( UPI, Cards, Wallet, Net Banking)
Modes of Payment ( UPI, Cards, Wallet, Net Banking)

Explore the various modes of payment available today: UPI for instant transfers, cards for secure transactions, wallets for convenience, and net banking for easy online management. Each option offers unique benefits to suit your needs.

Course Fees

50,000

Final pricing refers to the last and definitive cost of a product or service, including all applicable fees and discounts.

Includes:

  • Live sessions
  • Recorded videos
  • Study material / PDFs
  • Assignments & projects
  • 1:1 mentorship / doubt sessions
  • Certification upon completion