The elite 6-month weekend engineering cohort covering Distributed Microservices, HLD, LLD, Apache Kafka, Distributed Caching & AI-Assisted Architecture taught live by Pro+ Tier-1 Architects.
Designed for engineers preparing for Tier-1, FAANG, and high-scale product startups. Choose the comprehensive track or focus specifically on Coding or System Architecture.
The complete end-to-end master cohort: Full Stack Distributed Microservices, HLD, LLD, Kafka, Database Scaling, and applied GenAI development.
Intense algorithmic problem-solving track focused on competitive programming, data structures, and FAANG coding rounds.
Master modern High-Level and Low-Level System Design for Senior, Staff, and Tech Lead engineering interview bars.
Every Saturday and Sunday (4:00 PM – 8:00 PM IST). 8 hours of live interactive sessions every week, paired with weekday coding sprints and code reviews.
Asymptotic analysis, Space-Time trade-offs, Two-Pointers, Sliding Window, Fast-Slow pointers, Monotonic Stacks, and Queue optimizations on LeetCode Medium/Hard.
Binary search on answer space, advanced recursion trees, Backtracking paradigms (N-Queens, Sudoku, Subsets, Permutations), and bit manipulation tricks.
Lowest Common Ancestor, Binary Lifting, Segment Trees, 1D & 2D DP, DP on Grids, 0/1 Knapsack, Longest Common Subsequence, and Matrix Chain Multiplication.
BFS/DFS, Topological Sort, Dijkstra's Shortest Path, Bellman-Ford, Floyd-Warshall, Disjoint Set Union (Union by Rank & Path Compression), and Tarjan's Bridge finding.
Factory, Abstract Factory, Singleton, Strategy, Observer, Decorator, Adapter, Facade, Command, and State patterns. Clean Architecture in Java and Python.
Building production-ready LLD implementations: Multi-level Parking Lot, Distributed Rate Limiter, Splitwise Expense Sharing, Snake & Ladder, and Movie Ticket Booking Engine.
Vertical vs. Horizontal Scaling, Load Balancers (L4 vs. L7), Reverse Proxies, API Gateways, Service Discovery, Consistent Hashing, and Rate Limiting algorithms (Token Bucket, Leaky Bucket).
SQL vs NoSQL, Indexing Internals (B+ Trees vs LSM Trees), Database Sharding & Partitioning, Read Replicas, Multi-Master Replication, and CAP theorem trade-offs in distributed setups.
Topics, Partitions, Consumer Groups, Offsets, Exactly-Once Semantics, Event-Driven Microservices, Saga Pattern for distributed transactions, and dead-letter queues.
Redis Data Structures (Hashes, Sorted Sets, HyperLogLog), Cache Aside, Write-Through, Write-Behind, Cache Invalidation, Stampede prevention, and Redis Cluster topology.
Using LLMs for automated architecture reviews, microservice scaffolding, synthetic load testing, and AI-assisted code profiling & refactoring.
Live deployment of a real-time distributed application on Kubernetes, followed by comprehensive 1:1 System Design & DSA mock interview rounds with detailed scorecard.
Our trainers are active Principal Architects and Staff Engineers from top tier product enterprises with 10+ years of battle-tested distributed experience.
Every lead faculty member is an active Principal Architect or Staff Engineer who has architected high-concurrency systems handling millions of daily requests.
Interactive code inspection and system design defense. Students present their HLD/LLD diagrams directly to mentors and defend their architectural trade-offs.
With batches strictly capped at 50 students, one or two dedicated trainers are assigned per cohort to track weekly assignments and individual progress.
All guest architects and partner vendor instructors undergo institutional background checks and technical screening before leading cohort sessions.
Clear answers regarding batch timings, prerequisites, and cohort policies.