A structured one-year journey that takes young learners from coding foundations to building intelligent agents, multi-agent workflows, AI-powered applications and a professional capstone portfolio.
48-week structured pathway
Motivated young innovators
Progressive mastery approach
Live, guided and portfolio-driven
The programme is divided into clear development phases so learners build confidence progressively instead of jumping straight into advanced AI tools.
Problem solving, computational thinking, development environments and how software systems fit together.
Python syntax, functions, modules, OOP foundations, debugging, clean code and reusable components.
HTTP, REST APIs, JSON, authentication, requests and connecting software to external services.
Relational data, CRUD, SQL thinking, schema design, persistence and data-driven applications.
How modern AI systems work, prompting, tokens, context, safety, limitations and evaluation.
Agents, goals, tools, memory, planning, decision loops, human approval and reliable task execution.
Chains, tools, state, nodes, edges and structured agent workflows with modern orchestration frameworks.
Role-based agents, agent collaboration, task handoff, supervision and coordinated problem solving.
Environment variables, testing, deployment, logs, reliability and safe release practices.
Design, build, document, deploy and present a complete agentic AI solution addressing a real problem.
Understand coding, data, AI, software systems and how they connect.
Create intelligent systems capable of using tools and completing tasks.
Use GitHub, APIs, databases, testing and deployment in real projects.
Graduate with substantial projects that demonstrate practical ability.
Think like an engineer, communicate ideas and approach complex problems confidently.
The goal is not simply to finish lessons. Learners revisit concepts, solve increasingly difficult problems and build progressively more capable software throughout the year.
Understand new concepts through live instruction and demonstrations.
Strengthen each concept through coding tasks and guided challenges.
Apply skills to increasingly sophisticated projects and agent systems.
Present work, receive feedback and improve architecture, logic and reliability.
Apply for the one-year programme and receive the detailed curriculum through the ChildsBridge application process.
