Master the
Full Stack of Systems
A structured, interactive curriculum for aspiring and practicing systems engineers. Learn each subject in the right order — from algorithms and operating systems through networking, databases, distributed systems, DevOps, security, and artificial intelligence.
Foundations & Tooling
The zero-to-master on-ramp — Git, the command line, a systems language, and the tooling every engineer uses daily.
Software Engineering Craft
Engineering craft beyond tooling — design patterns, refactoring, code review, advanced testing strategy, and reading code you did not write.
Core Computer Science
Data structures, algorithms, and the core CS foundations — plus an optional advanced track for expert topics.
Operating Systems
Processes, IPC (including semaphores), scheduling, memory, I/O, file systems, virtualization, concurrency models, performance profiling, and the hardware-software interface.
Networking
How systems communicate — TCP/IP, HTTP, DNS, load balancing, and security.
Databases
SQL, indexing, transactions, replication, caching, and when to use NoSQL.
Distributed Systems
CAP theorem, consensus, message queues, microservices, and system design at scale.
DevOps & Infrastructure
CI/CD, containers, orchestration, infrastructure as code, cloud, and observability.
Security
Authentication, encryption, network security, application security, and secure system design.
Artificial Intelligence
Machine learning, neural networks, LLMs, retrieval-augmented generation, model serving, and the systems engineering behind production AI.
Try the Interactive Algorithm Studio
Explore 40 interactive visualizations — 10 sorting, 6 searching, 10 graph, and 14 advanced (DP, greedy, backtracking, string) algorithm studios — with step-by-step controls, Big-O metrics, and pseudocode comparison.
Ouvrir le studioAll Subjects at a Glance
Click any subject to explore its topics. Topics are listed in learning order within each subject.
Foundations & Tooling
TerminéThe zero-to-master on-ramp — Git, the command line, a systems language, and the tooling every engineer uses daily.
Software Engineering Craft
TerminéEngineering craft beyond tooling — design patterns, refactoring, code review, advanced testing strategy, and reading code you did not write.
Core Computer Science
TerminéData structures, algorithms, and the core CS foundations — plus an optional advanced track for expert topics.
Operating Systems
TerminéProcesses, IPC (including semaphores), scheduling, memory, I/O, file systems, virtualization, concurrency models, performance profiling, and the hardware-software interface.
Networking
TerminéHow systems communicate — TCP/IP, HTTP, DNS, load balancing, and security.
Databases
TerminéSQL, indexing, transactions, replication, caching, and when to use NoSQL.
Distributed Systems
TerminéCAP theorem, consensus, message queues, microservices, and system design at scale.
DevOps & Infrastructure
TerminéCI/CD, containers, orchestration, infrastructure as code, cloud, and observability.
Security
TerminéAuthentication, encryption, network security, application security, and secure system design.
Artificial Intelligence
TerminéMachine learning, neural networks, LLMs, retrieval-augmented generation, model serving, and the systems engineering behind production AI.