Rigorous curriculum for modern systems.
Six months of intensive, cohort-based training. Build scalable backends, deploy production-ready AI integrations, and master architectural decisions under professional code reviews.
Architected for production
System Design First
AI-Native Engineering
Professional Standards
Every module centers on architectural decisions, database scaling, and fault tolerance.
Integrate LLMs directly into the application layer, managing vector databases and prompt pipelines.
No toy apps. Write production-ready code subjected to rigorous industry-veteran reviews.
The 24-Week Roadmap
Advanced Backend Architecture
AI Integration & Vectors
Production Deployment
Focus on system design, database optimization, and high-load performance. Build robust APIs and manage asynchronous task queues.
Build LLM pipelines, implement vector search, and orchestrate agentic workflows. Design context-aware applications with semantic memory.
Deploy systems to live cloud infrastructure. Implement CI/CD pipelines, container orchestration with Kubernetes, and real-time monitoring.
Prerequisite: Basic programming
Prerequisite: Module 01
Prerequisite: Module 02
How we train
Architect
Implement
Review
Deploy
Draft system design documents before writing a single line of code.
Build your service using modern full-stack frameworks and AI-native patterns.
Submit your work to senior engineers for multi-round, production-grade code reviews.
Ship your application to live cloud infrastructure with full monitoring.
Ready to build?
Applications are open for the upcoming cohort. Space is limited to 25 engineers per track to ensure rigorous mentorship.