In this course, you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, and understand AI concepts and terms like machine learning, deep learning, and neural networks.
👉 https://www.coursera.org/learn/introduction-to-ai
Kickstart your career in artificial intelligence. Learn Python, build a chatbot, explore machine learning and computer vision, and leverage IBM Watson.
👉 https://www.coursera.org/professional-certificates/applied-artifical-intelligence-ibm-watson-ai
Launch your career as an AI engineer. Learn how to provide business insights from big data using machine learning and deep learning techniques.
👉 https://www.coursera.org/professional-certificates/ai-engineer
Build convolutional neural networks with TensorFlow and Keras.
👉 https://www.kaggle.com/learn/computer-vision
Explore practical tools to guide the moral design of AI systems.
👉 https://www.kaggle.com/learn/intro-to-ai-ethics
This course is aimed at people interested in understanding where this technology has come from, the kinds of opportunities it brings to modern and future societies, but also the risks it presents, and what steps we might take to avoid such risks.
👉 https://www.open.edu/openlearn/education-development/ai-matters/content-section-overview
You will learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
👉 https://course.elementsofai.com/
The course is for anyone who is interested in the ethical aspects of AI to encourage people to learn what AI ethics means, what can and can’t be done to develop AI in an ethically sustainable way, and how to start thinking about AI from an ethical point of view.