Now with 16 comprehensive learning tracks

Learn AI by Thinking
Not Just Using

A comprehensive system to build thinkers, creators, and responsible AI users. From curious children to advanced researchers — every learner has a path.

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Learning Tracks

Modules

Code Examples

Projects

Five Pillars of AI Education

Most courses start with tools. We start with thinking. Our curriculum builds on five core pillars that apply across every level.

Thinking

Logic, reasoning, problem decomposition

Making

Prompting, tools, automation, prototypes

Judgment

Detecting hallucinations, source validation

Expression

Writing clearly, explaining, presenting

Responsibility

Ethics, bias, privacy, safety

Professional Career Tracks

Industry-ready curriculum from data analysis to cutting-edge AI research. Each track includes hands-on projects, code examples, and a capstone.

Machine Learning for Beginners

The Classic Ideas Behind Modern AI — Explained Simply

A friendly, hands-on tour of classic machine learning: what it is, how it learns, and how to build real models for prediction, classification, clustering, language, and forecasting. No advanced math or coding background needed. Adapted from Microsoft's acclaimed open curriculum.

Beginner12 modules10-12 weeks

Gen AI for Beginners

From Curious to Confident with ChatGPT, Prompts & Beyond

A friendly, no-jargon introduction to generative AI: how tools like ChatGPT and image generators actually work, how to prompt them well, what they can and can't do, and how to use them responsibly. Includes hands-on beginner projects, a glossary, a quiz, and a learning roadmap.

Beginner10 modules6-8 weeks

AI Agents for Beginners

Build AI That Reasons, Plans, and Takes Action

A friendly, practical introduction to AI agents — software that uses a language model to plan, use tools, remember, and get real tasks done. Learn how agents differ from chatbots, how they work step by step, and how to build safe, useful ones. Includes hands-on project ideas, an architecture guide, a quiz, a glossary, and a roadmap.

Beginner14 modules8-10 weeks

Web Dev for Beginners

Build Real Web Pages with HTML, CSS & JavaScript

A hands-on, beginner-friendly course that takes you from “how the web works” to building real interactive pages with HTML, CSS, and JavaScript. Learn the fundamentals, practice with fun projects like a terrarium, typing game, and space game, and pick up accessibility and debugging skills along the way. Adapted from Microsoft's Web Dev for Beginners.

Beginner25 modules12 weeks

Spring AI for Beginners

Build AI-Powered Java Apps with Spring Boot

Go from zero Java to building real AI apps with Spring AI — chat with memory, prompt engineering, RAG, tools, MCP, and agent patterns on Spring Boot and Azure OpenAI. Every concept is explained from scratch: friendly, visual, and hands-on. Adapted from Microsoft's open Spring AI curriculum.

Beginner17 modules6-8 weeks

AZD for Beginners

Ship Apps to Azure with One Command

Go from zero to deploying real apps — and AI apps — on Azure with the Azure Developer CLI (azd). Learn init, provision, and deploy; infrastructure as code; environments and config; auth and security; AI model and agent deployment; monitoring; and production best practices. Beginner-friendly and hands-on. Adapted from Microsoft's open AZD curriculum.

Beginner20 modules8-10 weeks

Data Analyst

From Raw Data to Business Insights

Master Python, SQL, visualization, and statistical analysis. Go from spreadsheets to sophisticated data pipelines.

Beginner12 modules4-5 months

Data Science and Data Scientist

Understand Data, Tell Its Story, Build Smart Models

A visual, intermediate-but-simple journey into data science: what it is, how data scientists work, and how to explore, clean, visualize, and model data — then a gentle bridge into machine learning. Hands-on with real datasets. Adapted from Microsoft's Data Science for Beginners.

Intermediate43 modules4-6 months

Generative AI & LLM

From Prompts to Production AI Systems

Prompt engineering, RAG, AI agents, LangChain, LangGraph, fine-tuning, and production deployment. The complete GenAI toolkit.

Intermediate16 modules5-6 months

Zero to AI Engineer

From Your First Neuron to Production AI Systems

The complete journey — AI foundations, neural networks, generative AI, LangChain, MCP, and edge AI, all the way to production engineering. Explained simply and visually, from zero experience to building real AI systems. Adapted from Microsoft's open curricula.

Beginner54 modules6-9 months

MLOps & Data Engineering

Build the Systems That Power AI

A hands-on, plain-English guide to getting data and models into production: pipelines, Airflow, Spark, warehouses and lakes, streaming, Docker, the cloud, monitoring, and MLOps. Advanced infrastructure explained simply, one building block at a time.

Intermediate18 modules12-16 weeks

Research & Advanced AI

Understand Cutting-Edge AI — No PhD Required

A friendly, visual tour of how modern AI research works and the big ideas behind it — reading papers, transformers, LLMs, generative models, reinforcement learning, safety, interpretability, and running your own experiments. Advanced topics made genuinely simple to understand.

Intermediate18 modules12-16 weeks

AI for the Modern World

Understand AI, Use It Wisely

No coding required. Understand AI, use it for productivity and creativity, navigate ethics and limitations.

Beginner10 modules3-4 weeks

Age-Based Learning Programs

AI education starts at every age. From playful exploration for children to innovation-focused college tracks.

AI Adventures (Ages 10-14)

Discover the Magic Behind Smart Machines!

Fun, safe, creative AI exploration. Storytelling, art, music, simple automations, and digital citizenship.

Beginner8 modules8 weeks

AI Pathfinder (Ages 15-18)

Level Up for the AI-Powered World

Prompt engineering, Python basics, data analysis, AI projects, portfolio building, and career preparation.

Beginner10 modules10 weeks

College AI Track

From Campus to Innovation

AI-assisted research, coding copilots, agents, startup thinking, industry projects, and capstone work.

Intermediate12 modules12 weeks

Learning Progression

Our curriculum follows a deliberate progression that builds on each previous step.

Problem Framing

Define what you're solving

Thinking Models

Develop mental frameworks

Prompting

Communicate with AI effectively

Verification

Validate and fact-check outputs

Workflow Design

Build repeatable processes

Tool Usage

Master the right tools

Project Delivery

Ship real-world solutions

Reflection & Ethics

Think about impact

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Learn AI by ThinkingNot Just Using