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AI Mastery

Engineering foundations for AI builders

Patterns for solving harder problems

Design systems that scale AI

Communicate and lead in the AI era

Your production AI capstone

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Career Ready

Interview Launchpad

Navigate the AI engineering job market

Behavioral Mastery

Tell the story of how you create impact

Technical Interviews

Solve, design, and communicate under pressure

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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