This deep skilling programme enables Java developers to build enterprise-grade full-stack applications with an AI-augmented development workflow. Participants work through backend API development with Spring Boot, frontend development with React, microservices architecture, cloud deployment on AWS, and responsible integration of AI capabilities — applying GitHub Copilot and ChatGPT at every stage.
The programme is highly hands-on. Each learner must spend 60% of their time on coding or code-related activities, completing non-trivial assignments, submitting for review, and refactoring based on feedback. The target outcome is a full-stack Java developer capable of building, securing, testing, and deploying enterprise AI-augmented applications with production-grade code quality and responsible AI usage.
WHO SHOULD ATTEND
- Java Developers with working knowledge of Java fundamentals looking to build enterprise full-stack skills with AI-augmented workflows
- Backend Developers seeking to extend into frontend, microservices, cloud deployment, and AI-
assisted development - Software Engineers in teams adopting AI-assisted development tools who need structured,
production-grade enablement
PRE-REQUISITES
- Strong knowledge in Java Programming Fundamentals and basic skills in Java 8+
- Fundamental knowledge in HTML, CSS, and JavaScript
- Git and GitHub/GitLab basics
- Familiarity with AI tools — ChatGPT, GitHub Copilot
- Programme commitment: full-time attendance; all assignments including refactoring cycles must be completed to pass
KEY OUTCOMES
- Design and build enterprise-grade full-stack applications using Java, Spring Boot, and React, following clean architecture and modular design principles
- Develop secure and scalable REST APIs applying microservices patterns, Spring Security, JWT
authentication, and OAuth2 - Integrate AI capabilities into full-stack applications by leveraging GenAI APIs in backend (Spring Boot) and frontend (search, suggestions, chat) contexts
- Apply AI-assisted development workflows using GitHub Copilot and ChatGPT for code generation, refactoring, documentation, testing, and security review
- Structure prompts effectively for coding tasks — role-context-constraint frameworks, avoiding
hallucinations, deterministic vs probabilistic reasoning - Identify and remediate security vulnerabilities in AI-generated code using OWASP Top-10 awareness and AI-assisted secure code review
- Understand cloud-ready architecture patterns and deploy Spring Boot applications on AWS
- Deliver an end-to-end AI-augmented full-stack solution with documented APIs, automated tests, and production-grade code quality
