System Design Masterclass (2026) | From FAANG Insiders
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Unclaimed ProfileThe System Design Masterclass (2026) is a comprehensive program designed by experienced FAANG insiders to help software engineers navigate high-stakes system design interviews with confidence. Created by engineering veterans from Microsoft, Amazon, and Bloomberg, this course bridges the gap between theoretical knowledge and practical, large-scale application architecture. Students will dive deep into foundational concepts such as horizontal scaling, database sharding, caching strategies, load balancing, and message queues. Beyond theory, the curriculum focuses heavily on real-world architecture, teaching you how to design highly available systems like YouTube, WhatsApp, and real-time newsfeeds. You will learn to use a reusable framework to tackle any open-ended design question, transforming vague requirements into structured, concrete architectural blueprints. This course is ideal for software development engineers (SDEs) aiming to transition to mid-to-senior levels, as well as candidates preparing for competitive technical interviews at tier-1 tech companies. By demystifying industry jargon and providing clear, actionable templates, the instructors ensure you can articulate complex trade-offs, choose the right databases (SQL vs NoSQL), and build fault-tolerant systems that scale to millions of active users.
About the creator
Sweet Codey, Suresh Gandhi | SDE-II @Microsoft, Ex-Amazon, Shubham Chandak | Bloomberg Engineering, Rohit Jain | SDE-2 @ Amazon
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Sweet Codey is an elite collective of active industry veterans and FAANG insiders dedicated to demystifying complex technical concepts for software engineers globally. The core instructional team features seasoned professionals including Suresh Gandhi, a System Development Engineer II at Microsoft with prior experience at Amazon; Shubham Chandak, a senior software engineer currently driving core financial infrastructure at Bloomberg Engineering; and Rohit Jain, an SDE-2 at Amazon specializing in high-throughput distributed architectures. By combining their diverse day-to-day experiences from Microsoft, Amazon, and Bloomberg, they bridge the gap between theoretical computer science and practical, production-grade systems engineering. Their collaborative teaching approach focuses…Show more
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Program Overview
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Learning format
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Price may change · updated within 1–2 weeks
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What You'll Learn
- Architect high-availability and fault-tolerant platforms modeled after real-world giants like YouTube, WhatsApp, and social media newsfeeds.
- Apply a robust, reusable system design framework to structure your answers systematically during high-pressure technical interviews.
- Evaluate critical trade-offs between SQL and NoSQL databases, choosing appropriate storage engines based on read/write patterns and consistency needs.
- Implement advanced scalability techniques, including database sharding, horizontal partitioning, multi-tier caching, and global load balancing.
- Master core system design patterns, microservices architectures, rate limiting, and asynchronous communication using message queues like Kafka or RabbitMQ.
- Articulate industry-standard technical concepts clearly, moving past buzzwords to demonstrate true understanding of CAP theorem and data replication.
- Estimate capacity requirements, including network bandwidth, storage capacity, and memory constraints, to justify your architectural decisions.
Best For
- Software engineers preparing for high-stakes system design interviews at FAANG or Tier-1 tech companies.
- Developers looking to transition from junior to mid-level or senior roles by mastering architectural patterns.
- Engineers who struggle to translate vague requirements into structured, scalable technical blueprints.
- Professionals seeking to bridge the gap between academic theory and real-world, large-scale system production.
Not For
- Absolute beginners who have not yet learned basic programming or fundamental data structures and algorithms.
- Engineers looking for a lightweight introduction to cloud computing without focusing on interview preparation.
- Senior architects or staff-level engineers seeking highly advanced, niche distributed systems research topics.
- Individuals who prefer purely theoretical discussions over practical, interview-oriented problem-solving frameworks.
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