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Artificial Intelligence (AI) was created as a discipline in the late 1950s. Its initial goal was to understand and reproduce human intelligence on computers. This ambitious aspiration flourished as a research discipline for some time, with progress and excitement waxing and waning over the past six or seven decades. The field has survived two 鈥淎I winters鈥� in the mid 1970s and again in the early 1990s. An AI winter is a period of time when disappointment and lack of progress results in loss of interest from research funders, companies, and the general public. This usually follows a period of intense optimism and concentrated hype around the possibilities. However, AI has managed to come back stronger since the previous two AI winters, and today, excitement about AI and growth of its market size is higher than ever before. It is now difficult to imagine a single discipline鈥揾ealthcare, the life sciences, business, finance, the environment, navigation and transportation, and many others鈥搕hat has not begun to transform because of what AI is capable of achieving. In this module, we will cover how the field of AI got to where it is today and describe general concepts in the field. We hope you enjoy the course. Let鈥檚 dive in.