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.
16
Modules
17
Hands-on projects
Advance
Level
INSTRUCTOR
Baba Hayath Shaik
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
Phase 1: Fundamentals
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
Phase 2: Applied System Design
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
Phase 3: Advanced + Mock Prep
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
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.
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.
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.
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.
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.
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.
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.
Amlan Dutta
SDE 2 @ Amazon
+374%
Salary hike
Technologist @ TATA STEELSoftware Developer Engineer
"An excellent program for mastering System Design. The live sessions, real-world case studies, and detailed design discussions helped me build strong fundamentals and gain confidence in interviews. The mentorship and practical learning approach played a key role in my career growth."
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.
Course fees
₹89,999
Final pricing refers to the last and definitive cost of a product or service, including all applicable fees and discounts.
What's included
Live Interactive Classes
Lifetime Recorded Sessions
Study Material & PDFs
Enterprise Assignments
Production AI Projects
1:1 Mentorship Sessions
Mock Interviews
Resume Reviews
Portfolio Building
Industry Certification
Placement Assistance
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Monthly EMI options upto (24) Months
Flexible monthly EMI plans available for up to 24 months.
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113%
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Project Review
"Production-grade architecture with GenAI integration."
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