Enroll Course: https://www.coursera.org/learn/razonamiento-artificial
The course ‘Razonamiento artificial’ on Coursera offers an in-depth exploration of formal reasoning within artificial intelligence, covering both logical deduction and probabilistic uncertainty. Aimed at learners with basic programming skills in Python, the course is structured into modules that systematically introduce propositional logic, temporal logic, predicate logic, and various probabilistic models, including Bayesian networks, Markov chains, and Markov decision processes.
The logical modules focus on formalizing reasoning and tackling NP-complete problems, which are fundamental to AI development. The probabilistic sections delve into modeling uncertainty and decision-making processes, essential for advanced AI applications.
What makes this course highly recommended is its balanced combination of theoretical foundations and practical implementation, making complex AI reasoning techniques accessible. The inclusion of programming tasks in Python allows students to directly apply concepts learned, consolidating their understanding.
If you are interested in deepening your knowledge of artificial intelligence reasoning techniques, this course is an excellent choice. It provides a solid foundation for further study and practical application in AI projects, research, or career development.
Enroll Course: https://www.coursera.org/learn/razonamiento-artificial