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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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AI Resources
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, Critical Thinking, Natural Language Processing, Data Science
Skills you'll gain: Software Testing, Application Development, Computer Programming, Python Programming
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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, Critical Thinking, Natural Language Processing, Communication, Collaboration, Data Science, Leadership Development, Leadership and Management, Planning, Product Development, Product Lifecycle, Product Management, Strategy
What are the top skills associated with AI-related roles?
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:
