Knowledge Graph — Coursera Notes › Academic disciplines › Computer Science / Information Technology

Artificial Intelligence

concept · part of Computer Science / Information Technology

Artificial Intelligence is a branch of Information Technology encompassing systems that learn patterns from data to perform tasks, serving as the foundation for models, language models, prompting, and responsible use, and is governed by frameworks like the EU AI Act and NIST AI Risk Management Framework.

Inside Artificial Intelligence (18)

• Machine Learning & Data — Learning patterns from data — the fuel that shapes every AI response.
• Deep Learning — A subset of ML using neural networks capable of processing complex inputs.
• Large Language Models — A subset of foundation models specialized in language: generation, Q&A, translation and code.
• Responsible AI — Responsible AI is a framework for developing and deploying artificial intelligence systems that are fair, safe, transparent, and accountable.
• Generative AI — AI that generates new content (text, images, code), and how to turn it into real prototypes and products.
• Neural Network — A computational model composed of layers of neurons that learn patterns from data through forward and backward propagation.
• Prompt Engineering — Crafting natural-language instructions to steer a model toward useful, reliable output.
• Computer Vision — Extracting meaning from images and video — detection, recognition, moderation.
• Conversational AI — Conversational AI refers to artificial intelligence systems designed to engage in natural language dialogue with users, encompassing technologies like chatbots and virtual assistants.
• AI Applications — AI Applications refer to the deployment of artificial intelligence technologies to perform tasks that typically require human intelligence, such as visual perception, speech recognition, and decision-making.
• Natural Language Processing (NLP) — The process of understanding the meaning behind human language.
• Autonomous Vehicles — Autonomous vehicles are self-driving cars that use artificial intelligence to navigate without human intervention.
• AI model — An artificial intelligence system that processes data and generates outputs based on input.
• arXiv — Preprint repository for latest research, especially the ML section.
• Cross-team collaboration — Alignment of data engineers, scientists, and AI developers through shared documentation.
• Novartis — A pharmaceutical company that selected TensorFlow for drug discovery due to distributed scale and ecosystem tools.
• Real-time decision-making — The ability to analyze incoming data and produce actionable output near-instantly, used in finance, retail, and healthcare.
• What is AI — AI = training data + rules; systems that learn patterns from data and apply them to new inputs.

Connections

• Related to EU AI Act
• Related to NIST AI Risk Management Framework
• Related to Azure

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