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- AI For Everyone - Coursera
In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects
- AI for Everyone
“AI for Everyone”, a non-technical course, will help you understand AI technologies and spot opportunities to apply AI to problems in your own organization You will see examples of what today’s AI can – and cannot – do
- IBM: AI for Everyone: Master the Basics - edX
Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks
- AI for Everyone Course - Johns Hopkins Data Science and AI Institute
Whether you are new to AI or looking to understand its broader impact, this one-day course is designed to provide you with a solid foundation in AI concepts, real-world applications, and responsible integration strategies
- AI For Everyone - Udemy
Explore key AI technologies like supervised learning, reinforcement learning, and neural networks Gain insights into the AI model training process Whether you're a student, professional, or tech enthusiast, this course provides essential AI knowledge in an easy-to-understand format
- AI for Everyone - Future Skills Academy
Start your AI journey by learning the fundamentals of AI and build a strong foundation with the free AI for Everyone course Familiarize yourself with the fundamentals of AI, generative AI, and the practical use cases of AI as a beginner
- AI for Everyone: Essential AI Course - Codebasics
The 'AI for Everyone' course by Codebasics offers a comprehensive and accessible introduction to AI Instructor Dhaval Patel's expertise shines through in his clear explanations and engaging teaching style
- AI for Everyone (AI4E) – AI Fundamentals
Gain understanding of modern AI technologies and ability to identify opportunities for AI implementation Course Structure 6 modules with quizzes Content Coverage What is AI? What can AI do? Estimated Completion Time 5 hours
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