1-WEEK FREE TRIAL

Start your child’s technology journey at age 5.

A progressive online learning journey from Scratch → Python → Software Engineering → AI → Intelligent Systems.

🌍 100% Online•🎬 Self-Paced•👨‍🏫 3 Live Classes Weekly
THE TECHNOLOGY JOURNEYAGES 5+
🌱
Scratch
Create & discover
🐍
Python
Code & understand
🧠
Computer Science
Think & solve
💻
Software Engineering
Design & build
🤖
Artificial Intelligence
Learn & create
🏗️
Intelligent Systems
Engineer & architect

A different kind of technology education

What if your child could create with technology?

Children already use technology every day. We want to help them move from simply consuming digital products to understanding, building, explaining and improving them.

👀

Curious

Ask questions and explore how things work.

🛠️

Builders

Turn ideas into real projects.

🧠

Thinkers

Develop problem-solving and learning habits.

Ages 5+

The right starting point for every stage.

Children can start where they are and progress as their confidence, skills and readiness grow.

AGES 5–7🌱

Scratch Explorer

CREATE • PLAY • DISCOVER

  • Meet sprites & explore motion
  • Create stories with sounds & animation
  • Sequence blocks & repeat actions
  • Build simple interactive games
AGES 8–10🚀

Scratch Creator

IMAGINE • CODE • CREATE

  • Interactive stories & animations
  • Events, loops & conditions
  • Music, sounds & score tracking
  • Build your own quizzes & games
AGES 11–14 with no Laptops🧑‍💻

Scratch Developer

DESIGN • DEVELOP • INNOVATE

  • Advanced variables, lists & loops
  • Custom blocks & reusable code
  • Complex games & problem-solving
  • Transition to Python programming
AGES 11+ with Laptops🧠

Engineering Foundation

UNDERSTAND • SOLVE • BUILD

  • Python & algorithms
  • Web development
  • Data structures
  • AI foundations
The Software And AI Curriculum

Deep Dive Into the 10 Program Phases

A structured journey from Python and computer fundamentals to advanced AI, cloud infrastructure, and distributed systems. Learn the foundations, build real projects, and grow your engineering portfolio one phase at a time.

10
Program phases
100
Learning modules
12
Master capstones planned

Why Take This Phase?

Understand how computers work, how Linux and operating systems manage resources, how networking connects systems, and how Python instructs computers to perform tasks.

Career Importance

Build foundational skills in programming, Linux administration, computer operations, and the technical concepts required for later software and AI engineering.

Practical Project

Build computer tools, Python applications, a CLI Log Analyzer, and an automated file-management engine.

Why Big Tech Needs It

Develop the computer literacy and command-line skills needed to understand, operate, and troubleshoot the systems that power modern technology.

Companies Using These Skill Sets

CanonicalRed HatAWSDigitalOceanGitHubGoogle

These are examples of companies working in related areas, not a guarantee of employment or recruitment eligibility.

Build. Ship. Demonstrate.

Real-World Portfolio Capstones

Apply your knowledge to substantial engineering projects. Develop a portfolio that demonstrates your problem-solving, technical judgment, and ability to build working systems.

Computer Foundations
01

Build a Virtual Computer Simulator

Create an interactive simulator that demonstrates how binary numbers, memory, registers, the arithmetic logic unit, and basic CPU instructions work together to execute simple programs.

PythonPygameComputer Architecture
Maths & Algorithms
02

Algorithm Visualizer & Maze Solver

Build an interactive application that visualizes sorting, searching, recursion, graph traversal, and pathfinding algorithms. Compare their performance using different inputs.

PythonAlgorithmsData Structures
Software Engineering
03

Student Assessment & Learning System

Design a maintainable application with user roles, validation, reusable modules, automated tests, error handling, documentation, and version control.

PythonOOPPytestGit
Data & Machine Learning
04

Intelligent Financial Fraud Detection

Build a machine-learning pipeline that cleans transaction data, engineers features, trains classification models, and evaluates suspicious transactions while measuring false positives and detection accuracy.

PythonPandasScikit-learn
Full-Stack Development
05

Full-Stack Learning & Mentorship Platform

Build a learning platform with authentication, course modules, recorded lessons, progress tracking, assessments, mentor profiles, and a responsive dashboard.

Next.jsTypeScriptPostgreSQL
Full-Stack Development
06

Real-Time Collaboration Workspace

Create a collaborative workspace featuring real-time messaging, shared tasks, notifications, role-based permissions, persistent data, and live activity updates.

Next.jsWebSocketsRedis
Deep Learning
07

Computer Vision Recognition System

Train and evaluate a neural network that classifies images or detects objects. Build an interface for testing predictions and examine model performance on unfamiliar data.

PythonPyTorchOpenCV
Mobile, Games & Edge AI
08

AI-Powered Mobile Learning Companion

Develop a mobile application that helps learners track goals, complete quizzes, and access selected learning features offline. Add a lightweight on-device AI feature where supported.

React NativeSQLiteONNX Runtime
Cloud & MLOps
09

Cloud Deployment & Model Monitoring Platform

Containerize an application, automate testing and deployment, provision cloud infrastructure, and monitor application health and machine-learning model performance.

DockerGitHub ActionsKubernetes
Systems & Computer Science
10

Programming Language & Mini Compiler

Design a small programming language with its own syntax, lexer, parser, abstract syntax tree, interpreter, error reporting, and automated test suite.

Python or RustParsingAbstract Syntax Trees
Generative AI & Architecture
11

Enterprise AI Knowledge Assistant

Build a retrieval-augmented generation system that processes documents, creates embeddings, retrieves relevant information, and generates grounded answers with source references.

PythonLLM APIsQdrant
Generative AI & Architecture
12

Autonomous Multi-Agent AI Platform

Build a coordinated team of AI agents that plans tasks, uses approved tools, shares structured results, handles failures, and completes multi-step workflows with human approval and evaluation.

PythonLLM APIsLangGraph
Your Engineering Portfolio

Learn the concepts. Build the systems.

The full pathway targets 12 master capstones.

Explore Curriculum

The long-term pathway

100 modules. 10 phases. One journey.

A serious technology foundation developed layer by layer — not a race to finish lessons, but a progressive path that can grow with the learner.

PHASE 01💻

Computer Foundations

Understand the machine before you command it.

Great engineers do not treat computers as magic boxes. This phase helps learners understand what is inside a computer, how software runs, how the operating system works and how code becomes action.

Build a strong mental model of computers, operating systems, networks and programming.
Explore →
PHASE 02🧮

Maths & Algorithms

Learn how great engineers think through problems.

Programming becomes powerful when learners can reason. This phase develops mathematical intuition, algorithmic thinking and data structures that support everything from software to AI.

Turn problems into precise steps, structures and algorithms.
Explore →
PHASE 03🏗️

Software Engineering

Move from writing code to engineering software.

Writing code is only one part of software engineering. Learners discover architecture, object-oriented design, testing, version control and the habits used to build software that can grow.

Learn how reliable, maintainable software is designed, tested and evolved.
Explore →
PHASE 04📊

Data & Machine Learning

Teach computers to learn from information.

AI starts with data. Learners discover how information is collected, cleaned, represented and used to train models that can make useful predictions.

Understand data, statistics and machine-learning workflows before jumping into AI hype.
Explore →
PHASE 05🌐

Full-Stack Development

Build complete products from interface to backend.

This phase turns software concepts into products people can use. Learners build interfaces, APIs, databases and complete web applications while understanding how the pieces communicate.

Connect frontend, backend, APIs and databases into real applications.
Explore →
PHASE 06🧠

Deep Learning

Explore how neural networks learn patterns.

Learners go deeper into representation learning and neural networks. The focus is on understanding how models work, not simply calling an API.

Move from classical machine learning into neural networks, computer vision and modern deep-learning workflows.
Explore →
PHASE 07🎮

Mobile, Games & Edge AI

Build technology that lives beyond the browser.

Technology becomes more exciting when it interacts with the real world. Learners explore creative computing through games and mobile apps, then discover how AI can run closer to devices.

Explore mobile apps, game development, graphics and intelligent experiences running close to users and devices.
Explore →
PHASE 08☁️

Cloud & MLOps

Learn how software becomes dependable infrastructure.

A great application still needs reliable infrastructure. This phase introduces cloud architecture, containers, databases, CI/CD and MLOps concepts for running systems in the real world.

Understand deployment, containers, cloud platforms and the operational side of modern applications and AI.
Explore →
PHASE 09⚙️

Systems & Computer Science

Go beneath the abstractions.

Advanced engineers benefit from knowing what abstractions hide. Learners explore C, C++, Rust, memory, concurrency, operating-system concepts and how languages become executable systems.

Explore lower-level programming, operating systems, compilers and performance.
Explore →
PHASE 10🤖

Generative AI & Architecture

Design intelligent systems, not just AI demos.

The final phase connects the journey. Learners explore LLMs, RAG, agents, evaluation, distributed systems and AI architecture — with an emphasis on engineering reliable intelligent products.

Bring software, data, models and infrastructure together into production-minded intelligent systems.
Explore →
Flexible Learning. Flexible Payment.

Don't just learn to code.Become a Software & AI Engineer.

A structured journey designed to take you from beginner to advanced Software & AI Engineering through practical learning, projects, challenges, mentorship and continuous development.

Beginner FriendlyProject BasedLive ClassesAI Engineering

Choose how you want to pay.

You don't have to pay for everything at once. Start with the option that fits your current situation and keep moving forward.

Option 1

Pay As You Learn

₦50k/ module

Take the Software & AI Engineering journey one module at a time. Pay only when you are ready to begin your next module.

Perfect if you want to:

  • Learn at your own pace
  • Pay only for your current module
  • Build your skills progressively
  • Move forward as your budget allows
  • Self-paced recorded classes
  • 3 live interactive classes every week
  • Practical projects
  • Challenges and assessments
  • Book club
  • Global Genius community
  • Learning support
  • Continuous skill development
Start With A Free Trial
MOST COMPLETE

Option 2

Full Academy

₦20k/ month

Join the complete Software & AI Engineering Academy and progress through the full learning pathway with one simple monthly payment.

Everything you need to grow:

  • Complete Software & AI Engineering pathway
  • Self-paced recorded classes
  • 3 live interactive classes every week
  • Practical projects
  • Challenges and assessments
  • Book club
  • Global Genius community
  • Learning support
  • Continuous skill development
Option 3

Community Edition

Start with₦10k
and pay
₦5k/ month

Start small. Join the community, learn, participate, connect and grow with ambitious people building their future.

Build the community

Introduce 3 new people who successfully join within your first 7 days and get 1 Month Free.

Unlock when you introduce 3 people:

  • ₦5,000/month Community Builder rate
  • Community Builder recognition
  • Additional rewards and opportunities
Important: If you don't introduce 3 new members for each month, your subscription changes to ₦20,000/month.

The Full Academy Experience

One monthly payment.One complete journey.

The Full Academy is designed for learners who want more than isolated tutorials. You get a structured pathway, practical experience, live interaction and a community that keeps you moving.

Complete Software & AI Engineering pathway
Self-paced recorded classes
3 live interactive classes every week
Practical projects
Challenges and assessments
Book club
Global Genius community
Learning support
Continuous skill development

Community Growth Path

Grow with the community.

Your contribution can create opportunities beyond learning. Help other people discover the ecosystem and grow your role within Global Genius.

3

Community Builder

Introduce your first 3 successful community members.

10

Community Champion

Help 10 people become part of the ecosystem.

25

Community Leader

Build a meaningful network of 25 members.

50+

Global Genius Ambassador

Become a major community growth contributor.

Which option is right for you?

Choose your starting point. You can always grow into a deeper learning experience.

What you want₦50k / Module₦20k / Month₦5k / Month
Learn progressively
Complete Academy—
—
3 live classes weekly—
—
Community access—
Pay module by module
——
Community Builder pathway——

Your Journey. Your Pace. Your Payment Plan.

Start where you are.Grow into who you can become.

You don't need to wait until you can afford the entire program. Start small, learn consistently, build real skills, create real projects and grow into Software & AI Engineering.

₦5,000

Community Edition

₦20,000

Full Academy

₦50,000

Per Module

Learn. Build. Create. Become.

Learning by building

Don't just watch. Build.

Students progressively turn concepts into projects they can explain, improve and add to their portfolio.

Games

From simple Scratch games to advanced interactive systems.

Web Apps

Modern websites, APIs and full-stack applications.

AI Projects

Machine learning, RAG, agents and intelligent apps.

Systems

Cloud applications, systems software and architecture.

GamesWebsitesAPIsData SystemsML ModelsNeural NetworksMobile AppsCloud AppsRAG SystemsAI Agents

Built for modern family life

Flexible learning. Real interaction.

Skills first. Certificates later.

As students mature, the pathway can prepare them to explore relevant certifications. But the foundation comes first: understanding, projects and real skills.

PCEPPCAPGitHub FoundationsAWSAzureGoogle CloudLinuxKubernetesTerraform