Computer Science & Training
Rigorous training programs for engineering teams and ambitious developers. No bootcamps. Pure computer science principles applied to modern systems.
Advanced Systems Architecture
Distributed consensus, event sourcing, transaction isolation levels, partition recovery, and high-throughput network design.
Duration:4 Weeks (Intensive)
Format:Team Workshops & Case Studies
Core Curriculum Highlights
- 01.Distributed consensus protocols (Paxos, Raft, Multi-Paxos trade-offs)
- 02.Database engine internals: LSM trees, B-Trees, WAL, and page layouts
- 03.Transaction isolation levels, lock-free concurrency, and memory barriers
- 04.Network transport layer design: TCP, UDP, QUIC, and packet loss mitigation
Production DevOps & Platform Engineering
Infrastructure as Code with Terraform, container orchestration with Kubernetes, secure networking, and continuous integration pipelines.
Duration:3 Weeks (Intensive)
Format:Practical Cloud Infrastructure Labs
Core Curriculum Highlights
- 01.Declarative infrastructure design rules, Terraform state drift recovery
- 02.Kubernetes primitives: scheduler customization, operators, custom controllers
- 03.Linux kernel namespaces, cgroups, rootless container security profiles
- 04.Distributed tracing and logs aggregation architecture using OpenTelemetry
Language Design & Compiler Engineering
Lexing, parsing, AST generation, semantic analysis, register allocation, and bytecode runtime virtualization.
Duration:6 Weeks (Comprehensive)
Format:Compiler Construction Projects
Core Curriculum Highlights
- 01.Lexing & Parsing: regular grammars, LL(k), LR(k), and parser combinators
- 02.Abstract Syntax Trees (AST) modeling, type inference, and semantic passes
- 03.Code generation: register allocation, assembly output, LLVM IR interface
- 04.Bytecode virtualization: stack-based vs register-based virtual machines
Request Custom Syllabus for Your Team
Book technical training workshops for your team. We customize the depth of coverage to match your infrastructure goals.