Choose a practical technology course, learn across five structured seasons and apply your skills in guided projects.
Web fundamentals, HTML/CSS/JavaScript concepts, responsive and accessible design, AI-assisted development, security, SEO, performance, deployment and client project management — practised inside AI Website Studio.
Programming fundamentals, computational thinking, data structures, algorithms, debugging, OOP and functional concepts, APIs, databases, authentication concepts, Git, testing, architecture, security, AI-assisted coding, code review, performance and project management — practised in the Coding Lab with JavaScript and TypeScript, the languages this platform actually runs.
Mobile application concepts, mobile UI/UX, navigation, state management, forms and validation, APIs, authentication, backend and database concepts, local storage, notification concepts, device capabilities, adaptive layouts, mobile security, testing and debugging, performance, architecture, AI-assisted mobile development, packaging and build concepts, Android and iOS deployment concepts, app-store requirements, maintenance and versioning, client project management, portfolio and capstone. Store publishing itself is NOT performed by this platform: Android and iOS store submission are taught as concepts and remain unsupported and untested here.
From idea to a playable build: scenes, sprites, input, collision, scoring and shipping a small project.
A complete content-creation pathway: strategy, storytelling, prompt engineering, AI image and video production, editing, publishing, analytics, client work, portfolio and capstone — practised inside the AI Video Studio lab.
Animation education from fundamentals, storyboarding and visual storytelling through motion, timing, AI-assisted animation, editing and client delivery. Theory and assessment live here; every practical run happens in the shared AI Video Lab.
Cybersecurity & Ethical Hacking Professional Program: foundations and digital security, networking and systems, ethical hacking and vulnerability assessment, advanced security, cloud and defence operations, and a professional career capstone. Ethical, legal and authorised practice only.
Cloud Computing Professional Course: fundamentals, infrastructure and services, deployment and DevOps foundation, cloud security and management, and a career season ending with a final project — deploy a complete application in the cloud.
AI Fundamentals: introduction to artificial intelligence, generative AI and AI tools, AI workflows and productivity, AI business applications, and AI careers, ethics and future technology — ending with a practical AI portfolio project.
Prompt Engineering: introduction to prompts, advanced prompt design, prompts for content, design and development, prompt systems and AI workflows, and a professional prompt engineering career — ending with a practical prompt portfolio project.
AI Agents & Automation: introduction to AI agents, building agent systems, AI automation and business workflows, advanced agent development, and AI agent careers — ending with a practical AI agent or automation project.
DevOps Engineering: DevOps and software delivery, version control and Linux, automation, containers and deployment, cloud DevOps and infrastructure, DevSecOps and career development — ending with a practical build-and-deploy project.
Data Analytics: foundations of data analytics, data collection, cleaning and management, analysis and visualization, advanced analytics and AI-powered data, and data analytics careers — ending with a practical analytics project and portfolio.