Focus on applied learning:

• Team programming

• TDD - Test Driven Development

• Agile ways of working

• AI-assisted development

• System design & architecture

• Weekend assignments

• 3-4 week final sprint

How it works

The program starts with an online pre-course where you strengthen your programming fundamentals and assess your technical level. After that, you'll enter an intensive bootcamp and begin working in teams.

During the first part of the program, you will tackle coding challenges while building fullstack applications. We emphasize Test Driven Development TDD, collaborative problem-solving, and modern software engineering practices. You'll learn both fundamental and advanced aspects of the Java ecosystem while developing the habits and workflows used by professional engineering teams.

As the program progresses, you'll expand your focus beyond implementation and develop a deeper understanding of software architecture, system design, and engineering trade-offs. You'll learn how different components interact within larger systems, how architectural decisions affect scalability and maintainability, and how modern teams use AI to improve productivity and software quality.

Throughout the program, AI is integrated into the development process. You'll learn how to use AI tools to design, write, test, review, and improve code, while developing the critical thinking needed to evaluate and refine AI-generated solutions. You'll develop practical skills in AI orchestration and agentic workflows, learning how engineers combine multiple tools, systems, and AI capabilities to design solutions, automate processes, and solve increasingly complex problems.

The final 3-4 weeks are dedicated to projects where you'll apply everything you've learned to build and deploy complete solutions. Upon completion, you'll graduate with hands-on engineering experience, a portfolio project, and the skills needed to contribute in modern software teams.

In our Java career program, you will engage in:

Java development, Test-Driven Development TDD, team programming, problem solving, Object-Oriented Programming OOP, design patterns, Maven, Spring Boot, Spring Security & Authentication, JPA, Hibernate, PostgreSQL, REST APIs, HTML, CSS, JavaScript, TypeScript, React, Redux, Next.js, CI/CD, Spring Cloud, Azure, Git, software architecture fundamentals, system design, engineering trade- offs, AI-assisted software development, code review, AI orchestration concepts, agentic workflows, and modern engineering practices.