Artificial Intelligence Terms: A to Z Glossary
Review common artificial intelligence (AI) terms to know when preparing for an exam, interviews, or job search.
May 1, 2024
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Artificial intelligence is quickly becoming essential for businesses to utilize and grow with. Coursera’s guide and resources for AI tutorials, career pathways, and cheat sheets can help you grow your skill set at any career stage.
Popular Courses on Artificial Intelligence
Skills you'll gain: Algorithms, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Deep Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Adaptability, Natural Language Processing, Data Science
Beginner · Course · 1 - 4 Weeks
IBM
Skills you'll gain: Machine Learning, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Natural Language Processing, Cloud Computing, Human Learning, IBM Cloud, Algorithms, Applied Machine Learning, Machine Learning Software, Python Programming, Computer Programming, Cloud API, Cloud Applications, Computer Programming Tools, Human Computer Interaction, Application Development, Visualization (Computer Graphics), Adaptability, Software Engineering Tools, Cloud-Based Integration, Communication, Software Engineering, Data Analysis, Programming Principles, User Experience Design, Software Architecture, Agile Software Development, Software Testing, Technical Product Management, Web Development, Javascript, Data Science
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months
DeepLearning.AI
Skills you'll gain: Data Science, Deep Learning, Machine Learning, Artificial Neural Networks, Business Transformation, Human Learning, Planning, Project Management
Beginner · Course · 1 - 4 Weeks
Machine Learning: Strong machine learning expertise empowers AI professionals to innovate and build intelligent systems that drive automation, efficiency, and insightful data-driven outcomes. Key ways to learn Machine Learning include:
AI Topic Knowledge: Overarching and varied AI topical knowledge is important as it equips professionals to build more advanced, holistic, and responsible AI systems. Top topics to learn:
Programming languages: Learning languages like Python, R, and Java enables AI professionals to develop custom solutions, manipulate data, and integrate AI capabilities into applications. Top programming languages include: