AI guides and practical learning paths
Browse 34 source-checked guides covering AI foundations, advanced workflows, and hands-on projects. New readers can follow a roadmap in order; experienced readers can choose a specific problem below.
Start with the foundations
Learn the vocabulary, limits, tool-selection habits, prompting methods, and verification checks every AI user needs.
Build stronger AI systems
Move from isolated prompts to grounded files, custom assistants, image and video workflows, agents, automation, and a personal AI stack.
Ship a working prototype
Follow project-based tutorials for PDF summarisation, browser extensions, debugging, credential safety, and responsible deployment.
Latest guides
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Step 2: AI vs. Machine Learning vs. Deep Learning Explained
AI, machine learning, and deep learning are not three competing technologies — they are three nesting dolls, one inside the other. Once you see the dolls, you can…
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Step 1: What is AI? The Essential Beginner’s Guide to Artificial Intelligence
“What is AI? A beginner’s guide to artificial intelligence. Learn how AI works, see real-life, and understand Narrow vs General AI in plain English.”
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The AI Essentials 7 Guide Roadmap
💡 How to use this guide: Click on each step below to read the deep-dive guide for that topic. We highly recommend following the sequence from Step by…
How these guides are prepared
Life Tech Hack is edited by G. Troy. Guides are checked against official documentation and primary sources where facts can change. Practical limits—including privacy, API credentials, costs, copyright, and AI hallucinations—are identified before readers act. AI tools may assist drafting or organisation, but the final article is reviewed and edited before publication.
See About Life Tech Hack for the editorial approach, or report a correction.