Programs built for professionals who are serious about mastery
12-16 week intensive learning experiences. Small cohorts. Real projects.
We don't offer beginner courses or weekend workshops. These programs are designed for working professionals who already understand the basics and want to reach the next level.
Cloud Architecture Mastery
16 weeks · Intermediate to Advanced
Move beyond clicking through AWS consoles. This program teaches you to design resilient, cost-efficient systems that scale under real-world pressure.
What you'll build
- Multi-region deployment architecture with automated failover
- Infrastructure as code pipeline using Terraform and GitOps principles
- Cost optimization strategy that reduces spend without sacrificing reliability
- Disaster recovery plan tested through actual failure simulations
You'll learn to think in terms of trade-offs, not best practices. When to use managed services versus custom solutions. How to design for observability from the ground up. The architectural decisions that matter most under production load.
Investment: SGD 4,850
Full-Stack Development Intensive
14 weeks · Intermediate to Advanced
Build production-grade applications from database schema to deployment pipeline. This isn't about learning a specific framework. It's about developing the architectural thinking that transfers across any stack.
What you'll build
- Scalable REST and GraphQL APIs with proper authentication and authorization
- Responsive frontend using modern component architecture
- Database design and query optimization for real workloads
- CI/CD pipeline with automated testing and zero-downtime deployment
We cover performance profiling, security considerations, caching strategies, and the kind of debugging skills that separate senior developers from intermediate ones.
Investment: SGD 5,200
Data Engineering Pipeline Design
14 weeks · Intermediate
Transform messy data sources into reliable insights. Master both batch and stream processing, and learn the architectural patterns that keep pipelines maintainable as they grow.
What you'll build
- Real-time streaming pipeline handling millions of events per hour
- Batch processing workflow with proper error handling and recovery
- Data quality monitoring and alerting system
- Analytics infrastructure serving dashboards and ML models
You'll work with scenarios from e-commerce, financial systems, and IoT domains. Learn when to use Kafka versus Kinesis, how to handle late-arriving data, and design schemas that evolve gracefully.
Investment: SGD 4,675
Advanced Cybersecurity Practices
15 weeks · Intermediate to Advanced
Security isn't a checklist. It's a mindset. Learn threat modeling, secure architecture patterns, and incident response from engineers who've defended production systems.
What you'll build
- Threat model for a complex distributed system
- Security audit findings and remediation plan for real codebases
- Penetration testing methodology and vulnerability documentation
- Incident response playbook tested through simulations
We cover common vulnerabilities in depth, but more importantly, we teach you to think like an attacker. Authentication beyond passwords. Authorization at scale. Secrets management. Security monitoring that catches real threats, not just noise.
Investment: SGD 5,450
Machine Learning Engineering
16 weeks · Advanced
Move from Jupyter notebooks to production ML systems. This program bridges the gap between data science and engineering, covering everything needed to serve predictions at scale.
What you'll build
- End-to-end ML pipeline from feature engineering to model serving
- A/B testing framework for model experiments
- Monitoring system for model performance and data drift
- Production deployment handling thousands of predictions per second
You'll learn model versioning, feature stores, inference optimization, and the operational challenges that emerge when ML models meet real users. Covers both classical ML and modern deep learning approaches.
Investment: SGD 6,100
How programs work
Every program follows the same core structure, adapted to the subject matter:
Weekly live sessions: 2-hour working sessions with your instructor and cohort. These aren't lectures. You'll work through problems together, review each other's approaches, and learn from different perspectives.
Async code review: Submit work whenever it fits your schedule. Get detailed feedback within 24 hours on weekdays. This is where the deepest learning happens.
Project-based curriculum: You'll build 3-4 substantial projects throughout the program. Each one tackles a different aspect of the domain and adds to your portfolio.
Community access: Connect with other students and alumni. Many of our strongest learning moments happen in these peer discussions.
Who these programs are for
Our students typically fall into three categories:
Engineers looking to specialize in a new domain. You're already shipping code professionally but want to branch into cloud architecture, data engineering, or ML.
Mid-career professionals hitting a ceiling. You've been in the same role for years and need new skills to break through to senior positions.
Technical leaders who need to understand domains they're managing. You're leading teams working on systems you don't fully grasp, and it's limiting your effectiveness.
We don't accept complete beginners. If you've never written code or deployed a system, start elsewhere and come back once you have fundamentals down.
Next cohort starts June 15th. We cap enrollment at 8 students per program to maintain quality. Some programs already have waitlists.