Master Modern Computer Systems and Applied Intelligence.
Rigorous interactive curricula designed with engineering leads from Google, MIT, and leading open source ecosystems.
Core Engineering Specializations
Distributed Consensus & State Machines
Implement Raft, Multi-Paxos, and Byzantine fault-tolerant consensus from scratch in Rust with real-world network partition testing.
Modern Systems Programming in Rust
Master memory ownership models, lock-free queues, crossbeam atomics, zero-copy socket parsing, and custom memory allocators.
Applied Transformer Model Serving
Write custom GPU inference kernels, optimize KV-cache memory bandwidth, and deploy self-hosted speculative decoding servers.
High-Performance Database Engines
Design write-ahead logging (WAL), concurrent latch-free Bw-Trees, LSM compaction engines, and ACID transaction isolation.
Distributed Consensus & State Machines
RPC Protocol Design & Socket Concurrency
4 Hours of Video Lecture + 8 Hours Hands-on Production Lab
Raft Leader Election & Log Replication
4 Hours of Video Lecture + 8 Hours Hands-on Production Lab
Dynamic Cluster Membership Changes
4 Hours of Video Lecture + 8 Hours Hands-on Production Lab
Linearizable Read Semantics & State Machine Sync
4 Hours of Video Lecture + 8 Hours Hands-on Production Lab
Learn Directly from Systems Authors
Active maintainers of core infrastructure libraries, database engines, and language compilers.
Dr. Julian Scott
Ex-Principal Engineer, Google CloudCo-author of production consensus implementations running on 100k+ global node clusters.
Elena Petrov
Rust Compiler Working GroupSpecializes in lock-free memory layout optimization, atomic CPU instructions, and zero-overhead abstractions.
Kenji Murata
Staff Engineer, vLLM Core TeamLed memory bandwidth optimizations for high-throughput continuous batching LLM clusters.
Enroll in Cohort 18 Starting November 2026
Tuition is $2,400 USD per 12-week track, including lifetime lab server access, code review by principal engineers, and hiring network introductions.