Introduction to Artificial Intelligence (AI)

As we deal with current data explosive world, much of the data is unstructured – forms, tables, images, and video. As we deal with social interactions in Covid-19, compliance for mask wearing gets added to a number of other image analysis problems.We have a strong need to analyze large set of unstructured and semi-structured data to interpret the meaning using various AI technology. What are the different types of AI capabilities and associated technologies? How do you select an AI use case and associated technology.In this course, you will understandWhat is AI?Major capabilities of AIVarious AI technologies and associated use casesComponents of an AI solutionStrategize an AI engagement and associated technologiesThis course is divided into multiple sections.  After this introductory section,We will cover what is AI and  four major tiers of AI capabilities. In each area, we will identify key technologies and how they drive and transform analytics.First area is sensing - this includes perception capabilities embedded in our ingestion of speech, images, text, and sensors. We will cover this technology and will also include one case study in this area.Second area is learning – here we discuss the role of adaptive learning in model improvement as seen today in supervised, unsupervised and reinforcement learning. We will cover this technology and will also include one case study in this area.Third area is reasoning – our discussion here showcases the role of semantic knowledge representation in developing reasoning capabilities. We will cover this technology and will also include one case study in this area.Four area is interaction – it covers our use of collaboration in human – machine interaction. We will define key characteristics of this technology and will also include one case study in this area.Ne