How every topic on Glintr connects.
An interactive map of the ideas we teach — concepts, technologies and skills, and the paths between them. Hover a node to preview it, click to open the full glossary entry.
Artificial Intelligence is the field of building software systems that can perceive, reason, learn and generate content.
Machine Learning is a branch of AI where systems learn patterns from data instead of following fixed rules.
Deep Learning is a type of machine learning that uses many-layered neural networks to learn complex patterns.
A Neural Network is a computational model of interconnected nodes that transform inputs into outputs through learned weights.
Generative AI refers to AI systems that create new content — text, images, code or audio — based on learned patterns.
A Large Language Model is an AI system trained on massive text data to understand and generate human-like language.
Prompt Engineering is the practice of designing instructions that get useful, accurate output from AI models.
ChatGPT is a conversational AI assistant built on OpenAI's GPT family of large language models.
Claude is an AI assistant built by Anthropic, known for careful reasoning and long-context understanding.
Gemini is Google's family of multimodal AI models, capable of working across text, images, audio and video.
Data Science is the practice of turning data into decisions using statistics, programming and domain understanding.
An algorithm is a step-by-step procedure that takes an input and produces an output.
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