<p><span id="description" class="sugar_field">With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more.</span></p> <p><span id="description" class="sugar_field">In this course, you will understand what artificial intelligence is. It explains in detail basic search methods: DFS (Depth First Search), BFS (Breadth First Search), and A* search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take.</span></p> <h2><span class="sugar_field">Style and Approach</span></h2> <p><span class="sugar_field"><span id="trade_selling_points_c" class="sugar_field">This friendly course takes you through the different Search Methods. It is packed with step-by-step instructions and working examples. This comprehensive course is divided into clear bite size chunks so you can learn at your own pace and focus on the areas of most interest to you.</span></span></p>