AI Basics
What AI is, the three kinds you already use, and a hands-on first exercise with a chat assistant.
AIbeginnerfoundations
Tutorials
Tutorials
Step-by-step lessons for practical skills.
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
Prompt Engineering from First Principles
Understand why prompting works: language models predict text from context, so specific prompts steer them toward better answers.
promptsAIworkflow
Prompt Engineering
Practice the working loop of prompt engineering: draft a prompt, test it on a real task, evaluate the output, and refine.
promptsAIworkflow
What Is Machine Learning?
Machine learning defined: training, features, labels, and predictions, plus supervised, unsupervised, and reinforcement learning.
machine learningmodels
Git Essentials: Version Control That Finally Makes Sense
The mental model behind Git — repository, staging area, branches — plus the daily command loop, practiced on a real repository you build as you read.
Gitversion controlcommand line
Linux Command Line Essentials
Get comfortable in a Linux terminal: navigate, manage files, understand permissions, chain commands with pipes, and know how to get unstuck.
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Using AI Tools Safely: A Practical Guide
The real risks of everyday AI tools — prompt injection, data leaks, over-trusting agents — and the habits that protect you, grounded in the OWASP GenAI Security Project.
securityAIOWASP
Generative AI Explained for Beginners
What generative AI is, how it differs from earlier AI, what it can create, and why it sometimes makes things up.
generative AIbeginner
Machine Learning in Plain English
Machine learning by analogy: how models learn like people learning to recognize dogs, and why they still make mistakes.
machine learningmodelsdata
Python for AI
Why Python is the language of AI, the small set of skills beginners actually need, and the key libraries explained by purpose.
PythonAIprogramming
System Design Basics: How Big Applications Stay Up
Load balancers, caching, database scaling, and queues — the building blocks of large systems, explained in plain English with one worked example.
system designarchitecturescaling
Modern Password Rules: What NIST Actually Says Now
Length beats complexity, forced resets are out, and password managers are officially in — the current U.S. standard for passwords, translated for humans.
securitypasswordsNIST
Build Your First AI Study Plan
Create a personal 4-week AI study plan: pick one goal, choose a learning path, schedule practice, and track progress.
study planAIcareer
Large Language Models Explained Simply
How LLMs work: next-word prediction at scale, context windows, why they sound sure but can be wrong, and prompting as steering.
LLMslanguage models
Phishing and Social Engineering: How the Con Works
The psychology behind phishing, the tells that survive every new disguise, and a verification habit that works even against AI-written lures.
securityphishingsocial engineering
Prompt Engineering Basics
Learn the five elements of a strong AI prompt — task, context, format, examples, and constraints — with before-and-after examples.
promptsAI
Encryption and HTTPS in Plain English
What encryption actually does, what the browser padlock promises (and doesn't), and where your data is protected — in transit, at rest, and end to end.
securityencryptionHTTPS
The CLEAR Prompt Framework
Learn the CLEAR prompt framework — Concise, Logical, Explicit, Adaptive, Reflective — with an example for each letter and a full worked prompt.
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