AI Basics
Every free ai basics guide from our mentors — filtered from the full library.
Showing 9 resources in AI Basics
Clear filterAI Photo: How Artificial Intelligence Creates and Edits Images
What an AI photo is, how text-to-image generation works, and why the LLMs, RAG and agents behind it are where the real engineering starts.
Generative AI Roadmap for Beginners
A learning roadmap for generative AI that starts with what the technology actually is, moves through prompting and retrieval, and ends at evaluation and deployment — with the prerequisites stated up front.
How to Become an AI Engineer: 90-Day Roadmap
A week-by-week 90-day roadmap from programming basics to your first deployed AI project — Python, ML fundamentals, LLMs, RAG, and a portfolio you can defend.
Build Your First AI Agent in an Afternoon
Build your first AI agent in an afternoon — a working agent needs tools, a loop, and clear boundaries, and here is the simplest possible version to start.
What Is RAG? Retrieval-Augmented Generation
Retrieval-augmented generation lets LLMs ground answers in the documents you own. Understand the index, retrieve, and generate pipeline behind RAG apps.
Prompt Engineering 101: Getting Useful Answers from AI
Role, context, constraints, and examples — four prompt engineering levers that dramatically improve AI output, with a clear before and after example.
What Is an LLM? How ChatGPT Actually Works
Tokens, attention, and next-word prediction explained in plain language — a friendly walkthrough of how large language models like ChatGPT really work.
Machine Learning Basics: What a Model Actually Does
Training, features, and predictions made simple — the mental model every AI student needs, from supervised learning to inference, in plain language.
What Is AI? A Beginner's Map of the Landscape
A beginner-friendly map of AI, machine learning, and generative AI — what each term means, how they connect, and why every engineering student needs them.
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Built for the self-directed path
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