Level up your skills with generative AI integrations, cloud infrastructure, DevOps, and advanced AI-powered development. This phase prepares you to build scalable, intelligent applications using cloud-native tools, automation pipelines, and AI integrations. Apply agile practices and design thinking to plan and execute a real-world project.
- Design and build intelligent, scalable full stack applications
- Integrate cloud-native services(e.g., AWS, Azure, or GCP) for deployment and scalability
- Apply generative AI tools to streamline development and enhance app functionality
- Automate deployment workflows using DevOps tools and CI/CD pipelines
- Implement advanced security measures and cloud-based authentication
- Optimise databases for performance, scalability, and data integrity
- Build and deploy APIs that connect AI services and third-party platforms
- Apply design thinking and agile methodologies to solve complex problems
- Monitor and manage application performance in live environments
- Understand and navigate ethical, legal, and licensing considerations in AI-powered applications
- End-to-End Application Development: Build complete applications using front-end, back-end, and cloud technologies.
- Cloud Deployment & DevOps: Deploy full applications to the cloud using Microsoft Azure and containerise with Docker.
- Commercial API Services: Integrate external APIs to power real-world features.
- Generative AI Integration: Use tools like OpenAI to build smart app features.
- AI-Enhanced Development: Boost productivity with AI-assisted coding and prompt engineering.
- Agile & Design Thinking Best Practices: Apply Agile, Scrum, TDD, and design thinking in your projects.
- Software and Data Architecture: A glimpse of the knowledge that senior developers know
- Security, Ethics and Legal: Build with cybersecurity principles in mind and apply ethical and legal development practices.
- Communication & Career Prep: Strengthen your presentation, collaboration, and personal branding for industry readiness.