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Create your own Sudoku Solver using AI and Python

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In this 1-hour long project-based course, you will create a Sudoku game solver using Python. This problem is an example of what is called a Constraint Satisfaction Problem (CSP) in the field of Artificial Intelligence. CSP is a mathematical problem that must satisfy a number of constraints or limitations all the time. In this project, You will use the Backtracking algorithm to solve CSPs, in a Sudoku game. Backtracking is a recursive algorithm that tries to build a solution incrementally, removing solutions that fail to satisfy the constraints. Eventually, you will be able to use the knowledge acquired from this project on far more complex projects that employ these technologies. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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Embark on a captivating journey in the world of Artificial Intelligence with the course "Create your own Sudoku Solver using AI and Python." Designed for IT and Computer Science enthusiasts, this project-based course guides you through building a Sudoku game solver using Python. The course delves into Constraint Satisfaction Problems (CSP), a crucial area in AI, and employs the Backtracking algorithm to find solutions by incrementally satisfying constraints. Taught by expert instructors at Coursera, this professional-level course spans just 1 hour, making it an efficient yet comprehensive learning experience. Although currently optimized for learners in North America, efforts are underway to extend the same high-quality experience globally. This course is perfect for those looking to enhance their AI and programming skills, apply learned concepts to more complex projects, and join a community of forward-thinking professionals. Enroll with a Starter subscription and take the first step towards mastering AI-driven problem-solving.