Five tracks, shaped by the people actually hiring.
You spend Year 1 building foundations across the full stack. At the end of it, you pick the track that fits the engineer you want to become — and then spend three years growing into that role inside a real company.
Specialize in what the industry is hiring for
Tracks are shaped by an industry council of Nepal's most respected tech companies. You choose your focus at the end of your foundation year.
Learn how to build and launch web and mobile apps that people actually want to use. We skip the outdated theory and dive straight into modern frameworks, peer code reviews, CI/CD pipelines, and real product development from day one.
Go beyond basic tutorials and start building real-world AI systems. You'll get hands-on with machine learning models and large language models (LLMs) using a curriculum created directly by Nepal's top AI engineers.
Master the infrastructure that keeps modern tech companies running. You'll learn to architect, deploy, and scale robust distributed systems across AWS, Google Cloud, and Azure while keeping things secure and cost-efficient.
Get comfortable wrangling massive amounts of information. We'll teach you how to build data pipelines, manage warehouses, and handle real-time streaming analytics using the exact tools data teams use in production.
Learn how to protect the systems we rely on every day. You'll tackle hands-on labs covering ethical hacking, cloud security, and application defense, while analyzing real-world security breaches as they happen.
Learn how to build and launch web and mobile apps that people actually want to use. We skip the outdated theory and dive straight into modern frameworks, peer code reviews, CI/CD pipelines, and real product development from day one.
How the choice works
Track allocation is a conversation between you, your host company, and the program leads. You rank your preferences at the end of Year 1; companies signal the roles they can host; and we match. In four years no one has been placed on a track they didn't want.