“What is artificial intelligence?” For such a simple question, it is astounding how complicated the answer is. First, we need to understand that artificial intelligence is an unregulated term. There is no central group to set a standard definition or regulate the usage of the term. Second, artificial intelligence is not a specific thing. It is a categorical structure with a lot of different topics underneath it. It is best identified by a “you’ll know it when you see it”.
This course targets both IT and Non-IT professionals. The objective of the course is to introduce basic concepts of Artificial intelligence to provide an overview of the basic AI techniques with the help of innovation such as case studies and animated examples as well as graphics to keep the student/learner interested in the subject. It has also included material for professional learners who may like to take it up further. The idea is to remove the fear-factor of AI among the general audience. Various artificial intelligence techniques are covered such as Trends, Technologies and tools for AI, AI in Business, Society and Industry, Problem Solving and Search Strategies, Knowledge-Based Systems, Expert System, Fuzzy logic, Natural Language Processing, Robotics, Machine Learning Neural Networks, Case Study (Implementation with MATLAB), & Advanced Topics ( Deep Learning, IoT and AI, Big Data Overview with IoT and AI, Blockchain).
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