AI Beginner Roadmap
A 30-day week-by-week roadmap for total beginners: understand AI concepts, try the tools, prompt well, and build lasting habits.
AIroadmapbeginner
Computer Learning Academy
Learn AI and computer skills, one clear step at a time.
Beginner-friendly tutorials, cheat sheets, and plain-English explainers that help you build real technology skills — no jargon, no hype.
Learning paths
Choose a practical route.
Guided paths help beginners, developers, and professionals avoid random learning and build confidence in order.
AI Foundations for Beginners
A four-stage beginner path from zero AI knowledge to confident everyday use, with readings, practice, and checkpoints.
AIbeginnerfoundations
AI Engineering for Developers
A staged roadmap for working developers: model APIs, prompt design, retrieval, evaluation, and shipping AI features responsibly.
AI engineeringdevelopersLLM apps
Featured tutorials
Step-by-step lessons.
Hands-on introductions to AI, prompt engineering, machine learning, and practical workflows.
AI Basics
What AI is, the three kinds you already use, and a hands-on first exercise with a chat assistant.
AIbeginnerfoundations
What Is Artificial Intelligence?
A clear definition of AI: narrow vs general, rule-based vs learned systems, everyday examples, and common myths.
AIbeginner
The OWASP Top 10, Explained in Plain English
What the ten most serious web application risks actually mean, with everyday analogies and what each one looks like in real life.
securityOWASPweb development
Cheat sheets
Fast references when you need them.
Clear, scannable summaries for prompts, model terms, AI safety, and future technical topics.
AI Vocabulary Cheat Sheet
27 essential AI terms in plain English, grouped by theme: core concepts, how models learn, using AI tools, and risks and limits.
glossaryAIML
Secure AI Use Checklist
A one-page checklist for using AI assistants safely — what to share, what to connect, and what to verify.
securityAIchecklist
Embedding Models Cheat Sheet
The frontier embedding models, and how they're actually rated: MTEB, Recall@K, NDCG, and Matryoshka truncation in plain English.
embeddingsRAGMTEB
Project starters
Rusty? Spin it up anyway.
The exact commands and setup steps to scaffold a new project in each stack — no re-learning ritual required.
React Project Starter (Vite)
Zero to a running React + TypeScript app in about two minutes, with the commands you always forget.
ReactViteTypeScript
Android Project Starter (Kotlin + Compose)
Spin up a new Android app in Android Studio, get the emulator running, and know which files matter.
AndroidKotlinJetpack Compose
C# / .NET Project Starter
The dotnet CLI commands to scaffold a console app, web API, or full solution — no Visual Studio wizard required.
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Blog and AI news
Understand what matters.
Beginner-friendly advice and plain-English explainers for changing AI developments.
Why Clear Learning Paths Matter in AI Education
Why sequenced learning beats random tutorials: lower cognitive load, prerequisites in order, and visible progress that keeps you going.
educationAI learningbeginners
How to Use Cheat Sheets Without Skipping Understanding
Cheat sheets work as retrieval practice aids, not crutches. A simple workflow: skim before learning, recall after, keep them to one page.
cheat sheetslearningpractice
What New AI Models Mean for Beginners
How to read an AI model announcement: what capability claims, benchmarks, context windows, and multimodality mean for everyday users.
AI newsmodelsbeginner
Resource library
Tools, templates, and references.
Reusable resources that support future categories including Python, cloud, cybersecurity, web development, automation, and career skills.
Python for AI Starter Toolkit
The practical Python setup for AI learning: installing Python, virtual environments, pip, VS Code, and the starter libraries explained.
PythonAI toolsenvironment
AI Career Roadmap
A realistic map of AI career directions — from using AI in your current role to ML engineering — with skills and portfolio proof for each.
careerAI rolesportfolio
Learning Resource Library Starter
A guided index of every collection on this site — tutorials, cheat sheets, paths, starters, models, best practices, news — and how to combine them.
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Learning philosophy
Practical, clear, and trustworthy.
Beginner-first
Every topic starts with plain language and concrete examples.
Practice over hype
Lessons focus on useful skills, not buzzwords or shortcuts.
Career-aware
Paths connect concepts to projects, portfolios, and workplace value.
Built to scale
Structured MDX content keeps the academy easy to expand.