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AI Seeds

AI literacy for the real world

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AI Sprouts

The foundations behind intelligent systems

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AI Branches

Build with today’s AI capabilities

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AI Canopy

Engineer reliable GenAI systems

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AI Forest

Ship AI products responsibly

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AI Mastery

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AI Sketch

Engineering foundations for AI builders

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AI Chisel

Patterns for solving harder problems

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AI Craft

Design systems that scale AI

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AI Polish

Communicate and lead in the AI era

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AI Masterpiece

Your production AI capstone

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Career Ready

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Interview Launchpad

Navigate the AI engineering job market

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Behavioral Mastery

Tell the story of how you create impact

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Technical Interviews

Solve, design, and communicate under pressure

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AI & ML Interviews

Prepare for modern ML and GenAI interviews

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Every page on AI Educademy, in one place. Explore our academies and lessons, the latest articles, our tools directory and more.

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Academies & lessons

AI Seeds

  • What is AI? A Friendly Introduction
  • How Machines Learn - The Secret Behind Smart Software
  • AI in Your Pocket - How Your Phone Uses AI Every Day
  • ChatGPT and AI Chatbots - What They Are and How They Work
  • Your First AI Experiment - Try AI Yourself
  • The History of AI - From Turing to Transformers
  • Types of AI - Narrow, General, and Super Intelligence
  • AI vs Human Intelligence - What Machines Can and Cannot Do
  • AI in Everyday Life - From Shopping to Space
  • AI Myths Debunked - Separating Fact from Science Fiction
  • Neural Networks: How Machines Actually Think
  • AI Ethics & Bias: When Machines Get It Wrong
  • How AI is Transforming Science and Research
  • AI and Human Creativity: Partners, Not Rivals
  • AI and the Future of Work: What Jobs Will Change
  • AI Safety: Why It Matters for Everyone
  • AI and Climate Change: Part of the Problem or Solution?

AI Sketch

  • Arrays and Hash Maps - How AI Stores and Retrieves Data
  • Strings and Text Processing - How AI Reads and Understands Text
  • Sorting and Searching - How AI Ranks and Finds Results
  • Linked Lists and Stacks - The Dynamic Structures Behind AI
  • Trees and Graphs Visualised - How AI Maps Relationships
  • Heaps and Priority Queues - The Swiss Army Knife of Interviews
  • Binary Search Patterns - Beyond Sorted Arrays
  • Recursion and Backtracking - Solving Puzzles Like a Computer
  • Greedy Algorithms - When Local Choices Lead to Global Solutions
  • Matrix and Grid Problems - BFS on Grids and Island Counting

Interview Launchpad

  • Understanding the Interview Landscape
  • Decoding Job Descriptions
  • Building Your Preparation Timeline
  • Company Research Strategies
  • Career Transitions to AI
  • The Growth Mindset for Interviews
  • Your Interview Toolkit

AI Sprouts

  • How Data Powers AI - The Fuel Behind Every Smart System
  • Algorithms Explained - The Recipes Behind Every AI System
  • Introduction to Neural Networks - How AI Thinks in Layers
  • Training AI Models - Teaching Machines to Get Smarter
  • AI Ethics and Bias - The Human Side of Artificial Intelligence
  • Backpropagation - The Calculus Behind Learning
  • Loss Functions and Optimisers - How AI Learns from Mistakes
  • Tokenisation - How AI Reads Text
  • Embeddings and Vector Databases - How AI Understands Meaning
  • Evaluation Metrics - Is Your AI Actually Good?
  • Understanding Large Language Models
  • Overfitting and Underfitting: Why ML Models Fail
  • Feature Engineering: Teaching Machines What Matters
  • Supervised vs Unsupervised Learning: Key Differences Explained
  • Decision Trees: The Algorithm You Can Draw on Paper
  • Clustering: How AI Finds Patterns Without Labels

AI Chisel

  • Two Pointers and Sliding Window - How AI Scans Data Efficiently
  • Trees and Binary Search - How AI Makes Fast Decisions
  • Graph Algorithms - How AI Navigates Networks
  • Dynamic Programming - How AI Solves Complex Problems by Breaking Them Down
  • Hash Tables Deep Dive - The Engine Behind Fast AI Lookups
  • Tries and Prefix Trees - Autocomplete, Spell Check, and IP Routing
  • Union-Find - Connected Components and Network Detection
  • Monotonic Stack and Queue - Next Greater Element and Beyond
  • Interval Problems - Merge, Insert, and Schedule
  • Bit Manipulation - XOR Tricks, Power of Two, and Counting Bits

Behavioral Mastery

  • The STAR Interview Framework
  • Behavioural Interview Mastery
  • Leadership Principles
  • Conflict Resolution Stories
  • Cross-functional Collaboration
  • Failure and Growth Narratives
  • Managing Up and Stakeholders
  • Cultural Fit Conversations

AI Branches

  • Computer Vision - How AI Learns to See the World
  • Natural Language Processing - How AI Understands Human Language
  • AI in Healthcare: Saving Lives with Algorithms
  • Recommendation Systems - How Netflix, Spotify, and TikTok Know What You Want
  • Voice AI and Speech Recognition - How Machines Learn to Listen
  • Generative AI - How Machines Create Art, Music, and Code
  • Reinforcement Learning - How AI Learns by Doing
  • Multimodal AI - When AI Sees, Hears, and Reads Simultaneously
  • AI and Robotics - From Factory Arms to Humanoid Helpers
  • Autonomous Vehicles - How Self-Driving Cars Think
  • Prompt Engineering: The Art of Talking to AI
  • Transformers Explained: The Architecture Behind ChatGPT
  • Reinforcement Learning: Teaching AI Through Trial and Error
  • Fine-Tuning LLMs: Customising AI for Your Use Case

AI Craft

  • System Design Fundamentals - The Building Blocks of Scalable Systems
  • Design a URL Shortener - Your First System Design Interview
  • Design a Chat Application - Real-Time Communication at Scale
  • Design a Recommendation Engine - AI-Powered Personalisation at Scale
  • Design an AI API Platform - Serving Models to Millions
  • Design a Rate Limiter - Protecting APIs at Scale
  • Design a Notification System - Push, Email, and SMS at Billion Scale
  • Design a Video Streaming Platform - YouTube/Netflix Architecture
  • Design a Web Crawler - How Google Indexes the Internet
  • Design a Distributed Cache - Redis Architecture from Scratch

Technical Interviews

  • Data Structures for Interviews
  • Algorithm Patterns and Strategies
  • System Design Fundamentals
  • API Design Interviews
  • Code Review Interviews
  • Debugging Under Pressure
  • Complexity Analysis Mastery
  • Live Coding Best Practices

AI Canopy

  • Large Language Models - The Engines Behind Modern AI
  • Prompt Engineering - The Art and Science of Talking to AI
  • Deep Neural Networks - CNNs, RNNs, and Transformers Explained
  • Fine-Tuning and RAG - How Companies Customise AI for Their Data
  • AI Agents and Autonomous Systems - The Next Frontier
  • Attention and Transformers - The Architecture That Changed Everything
  • Scaling Laws and Training at Scale - Why Bigger Models Get Smarter
  • RLHF and Alignment - How ChatGPT Learns Human Values
  • Agentic Workflows - Building Multi-Agent AI Systems
  • AI Safety and Red Teaming - Breaking and Defending AI Systems
  • RAG Systems in Practice
  • Tool-Using Agents and MCP
  • Evaluate and Operate AI

AI Polish

  • Communicating Technical Ideas
  • AI-Era Leadership
  • Remote Work and Global Teams
  • Technical Resume Masterclass

AI & ML Interviews

  • ML System Design Interviews
  • Model Evaluation Deep Dives
  • Feature Engineering Questions
  • MLOps and Production ML
  • NLP and LLM Interview Topics
  • Computer Vision Interview Prep
  • AI Ethics in Interviews

AI Forest

  • Building AI Products - From Prototype to Production
  • The Open-Source AI Ecosystem - Tools, Models, and Communities
  • The Future of AI - What's Coming and Where You Fit In
  • AI Startups and Business Models - How to Build and Monetise AI
  • Contributing to Open Source - Build Your Reputation and Give Back
  • MLOps and Deployment - Taking Models from Notebook to Production
  • Edge AI - Running Models on Phones, Browsers, and IoT Devices
  • AI Regulation - The EU AI Act, GDPR, and Global Policy
  • AI Infrastructure - GPUs, TPUs, and the Cloud Battle
  • Responsible AI Governance - Building Teams That Ship Ethically

AI Masterpiece

  • Engineering Portfolio - Build a Profile That Gets You Interviews
  • Full Mock Interview - 60-Minute Senior Engineer Simulation
  • Design Twitter's AI Feed - An End-to-End Case Study
  • Build Your Own AI Project - From Idea to Deployed Product
  • Career Roadmap 2026 - The Most In-Demand Skills and How to Get Them
  • End-to-End ML Pipeline - From Raw Data to Deployed Model
  • Kaggle Competition Guide - How to Compete (and Learn) on Kaggle
  • Reading Research Papers - How to Understand and Implement AI Papers
  • System Design Mock Interview - A 45-Minute Senior Engineer Simulation
  • Ship an Open-Source AI Project - Your Masterpiece

Offer & Beyond

  • Negotiating Your Tech Offer
  • Salary Benchmarking
  • Building Your Personal Brand
  • Evaluating Multiple Offers
  • First 90 Days Strategy
  • Long-term Career Architecture

Blog

  • What Is Jev? Inside TypeSafe AI's 'System One' Models and Why They Matter
  • Agentic AI, Workflows, and GitHub: How Software Started Building Itself
  • Vibe Coding, Explained: What It Is, Where It Shines, and Where It Bites
  • What Is MCP? The Model Context Protocol, Explained Simply
  • AI Startups to Watch in 2026: Companies Reshaping Industries
  • Learn Python for AI: The Minimal Python You Actually Need
  • No-Code Machine Learning: 9 Tools to Build Models Without Writing Code
  • Midjourney vs DALL-E vs Stable Diffusion: 2026 Comparison & Market Share
  • AI Agents in 2026: How Autonomous AI Is Changing Everything
  • AI's Energy Crisis: Can Data Centres and the Planet Coexist?
  • Apple's AI App Store: How Siri Extensions Will Change Your iPhone Forever
  • The EU AI Act in 2026: What Developers and Businesses Need to Know
  • Why OpenAI Killed Sora: The Rise and Fall of AI Video Generation
  • State of Open Source AI in 2026: The Models, Tools, and Communities Leading the Way
  • AI for Business: Real-World Use Cases and How to Get Started
  • Top 30 AI Interview Questions and Answers for 2026
  • AI vs Machine Learning vs Deep Learning: What's the Difference?
  • Best AI Certifications Worth Getting in 2026 (Free and Paid)
  • How to Build Your First AI Chatbot: Step-by-Step Guide (2026)
  • Computer Vision Explained: How AI Sees and Understands Images
  • Neural Networks Explained: A Visual Guide for Beginners
  • Understanding Transformers: The Architecture Behind ChatGPT
  • What Is Natural Language Processing (NLP)? A Beginner's Guide
  • What is RAG? Retrieval-Augmented Generation Explained Simply
  • Introducing Career Ready: Your AI Career Launchpad
  • Freemium to Premium: AI Educademy's New Learning Tiers
  • Why We Built AI Educademy
  • AI Career Paths in 2026: Which Role Is Right for You?
  • AI for Teachers: How Educators Can Use AI in the Classroom
  • 15 Best Free AI Tools for Students in 2026 (Ranked by Use Case)
  • AI vs Machine Learning vs Deep Learning: What's the Real Difference?
  • Best Free ChatGPT Alternatives in 2026: Honest Comparison
  • How to Learn AI From Scratch in 2026 (Complete Roadmap)
  • Neural Networks Explained Simply: How AI Brains Actually Work
  • Prompt Engineering: The Complete Beginner's Guide (2026)
  • Responsible AI: Ethics, Bias, and Why It Matters
  • What Is Generative AI? A Beginner's Complete Guide (2026)
  • How to Learn AI for Free in 2026: A Complete Beginner's Roadmap
  • Machine Learning for Beginners: Everything You Need to Know (2026 Guide)
  • What Is Artificial Intelligence? A Simple Guide for Complete Beginners
  • 5 AI Concepts Everyone Should Know (Explained Simply)
  • How We Built a Multilingual AI Education Platform with Next.js and MDX
  • Welcome to AI Educademy - Free AI Education for Everyone
  • Why Everyone Should Learn AI in 2026 - Even If You're Not Technical
  • The Pace of AI Isn't the Problem - Our Readiness Is

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