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- AI For Everyone - Coursera
AI is not only for engineers If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take
- AI Foundations for Everyone | Coursera
This specialization is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills It is designed to give you a firm understanding of what is AI, its applications and use cases across various industries
- Real-World AI for Everyone | Coursera
Throughout this Specialization, you’ll complete projects that apply AI skills to real-world challenges such as getting your next role, communicating with your team, and building automated workflows and knowledge bases, and even hosting a popular word game
- Generative AI for Everyone by DeepLearning. AI | Coursera
Learn what generative AI is and how it’s used across industries in this course from DeepLearning AI Explore key concepts, real-world applications, and how generative tools are shaping the future of work Enroll for free
- AI For Everyone （すべての人のためのAIリテラシー講座） | Coursera
コースは、AIの基礎を学びたい⽅、今の組織をAIを使いこなせる組織へと変⾰させ たい⽅、そんなすべての⽅々に、理系⽂系問わず、肩書きや職種問わず、受講いた だけるコースです。
- GenAI for Everyone - Coursera
By the end of this course, you will be able to discuss the fundamentals of Generative AI or GenAI and discuss some of the applications of GenAI in daily life, such as virtual assistants, chatbots, and personalized recommendations
- ChatGPT Zapier: Agentic AI for Everyone - Coursera
There are classes that teach these Agentic AI concepts, but they are geared towards programmers If you aren't a programmer, they won't teach you how to build agents to help with your daily tasks
- “AI for Everyone”: new course from deeplearning. ai . . . - Coursera Blog
Dear Friends, I am excited to announce the newest course from deeplearning ai, “AI for Everyone ” It is now available on Coursera AI is not only for engineers This non-technical course will help you understand technologies like machine learning and deep learning and spot opportunities to apply AI to problems in your own organization
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