🐍
Week 1
Python Foundations
Variables, data types, functions, loops, modules and problem solving.
Future-Ready Programme
AI Software Architecture – 12 Weeks Intensive
For young learners who want to understand how modern AI-powered software is designed, structured, connected and built through practical, project-based learning.
Hands-on Projects
Build real systems.
Expert Mentorship
Guided step by step.
Industry Skills
Modern tools & workflows.
Certificate
Upon completion.
</>
{ }
Recommended
Ages 10–16
Course Overview
At a Glance
📅
Duration
12 Weeks
Intensive programme
👥
Age Range
10–16 Years
Young innovators
📈
Learning Level
Beginner → Intermediate
No prior AI experience required
💻
Format
Live Online
Interactive & project-based
Curriculum Roadmap
What Students Learn in 12 Weeks
The programme moves from coding and software foundations to AI-enabled systems, deployment and a final capstone project.
🏗️
Week 2
Software Architecture Basics
Components, layers, separation of concerns and architecture patterns.
🔗
Week 3
APIs & Integrations
REST APIs, JSON, authentication and connecting third-party services.
🗄️
Week 4
Databases
SQL concepts, CRUD operations, data models and persistent application data.
🧩
Week 5
System Design Fundamentals
Break problems into dependable components and design reliable systems.
⚙️
Week 6
AI Workflows & Automation
Understand AI workflows, automation pipelines and tool orchestration.
💬
Week 7
Prompt Engineering
Write, test and improve prompts for more useful AI outputs.
🧠
Week 8
LLM Concepts
Tokens, context, model capabilities, limitations and responsible use.
🤖
Week 9
AI Application Architecture
Design modular AI applications that combine models, tools and data.
🐙
Week 10
GitHub Collaboration
Repositories, commits, branches, pull requests and collaborative workflows.
🚀
Week 11
Testing & Deployment
Test applications, fix issues and prepare a working project for deployment.
🏆
Week 12
Capstone Project
Build, document and present a complete AI-powered software project.
Tools Students Will Use
Industry-Standard Tools for Real-World Learning
PY
Python
</>
VS Code
GH
GitHub
API
APIs
DB
PostgreSQL
DK
Docker
AI
AI / LLM APIs
What Students Achieve
Outcomes & Benefits
🚀
Build Real Projects
Create working AI-enabled applications instead of stopping at theory.
🧠
Understand AI Systems
Develop a strong mental model of how modern intelligent software is structured.
💻
Engineering Skills
Use coding, version control, APIs and architecture concepts together.
⭐
Confidence
Learn to explain technical decisions, solve problems and present work.
🎓
Certificate
Receive recognition for completing the programme and capstone requirements.
Learning Model
Designed for Mastery, Not Just Completion
Students are expected to practise, build and improve. Each stage connects concepts to practical tasks so the learner repeatedly applies what has been taught.
01
Learn
Understand the concept through guided live instruction.
02
Practise
Complete targeted coding exercises and challenges.
03
Build
Turn the concept into a working feature or mini-project.
04
Present & Improve
Explain the solution, receive feedback and strengthen the work.
Applications
Ready to Start the AI Architecture Journey?
Submit an application and receive the selected programme curriculum through the ChildsBridge application process.