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Artificial Intelligence and Mechatronics

Cross-cutting
Digital Skills

IA Academy

Duration

40 hours

PRESENTATION

The Course Artificial Intelligence and Mechatronics invites you to immerse yourself in two of the the most dynamic and promising fields of the 21st century. Currently, the Integration of Artificial Intelligence into Mechatronic Systems is revolutionizing industries, from the automotive sector to robotics, with a steadily growing demand for labor. During the course, you'll explore the possibilities of the AI and Its Application in Mechatronics, you'll understand the expert systems and the fuzzy logic, and you'll become familiar with genetic algorithms and neural networks. You'll gain skills to create innovative models and efficient solutions, equipping you to face Current and Future Challenges. Our online training ensures flexibility and access to the latest technology trends, preparing you to excel in a a competitive and expanding market. Join this A Journey into the Future of Technology.

Objectives

  • Understanding Artificial Intelligence and its application in mechatronics.

  • Analyze the components and structure of an expert system.

  • Implement fuzzy logic in automated decision-making.

  • Designing route-finding algorithms using advanced methods.

  • Apply genetic algorithms to solve complex problems.

  • Exploring Neural Networks and their operation in intelligent systems.

  • Develop Skills to create expert systems that account for uncertainty.

Syllabus

TEACHING UNIT 1. MECHATRONICS AND ARTIFICIAL INTELLIGENCE: POSSIBILITIES Artificial Intelligence: Introduction Intelligence in Living Beings Artificial Intelligence Areas of Application The Field of Mechatronics The Possibilities of Artificial Intelligence Mechatronics and Artificial Intelligence TEACHING UNIT 2. EXPERT SYSTEMS What Is a Polygon Expert System? Structure of an Expert System Inference: Types Building Expert Systems TEACHING UNIT 3. FUZZY LOGIC Introduction to Fuzzy Logic Fuzzy Sets and Degrees of Membership Operators on Fuzzy Sets Rule Creation Fuzzification and Defuzzification TEACHING UNIT 4. ROUTE SEARCH Introduction to route search Routes and graphs Exhaustive and «intelligent» route search algorithms Implementation TEACHING UNIT 5. GENETIC ALGORITHMS What Are Genetic Algorithms? Biological and Artificial Evolution Choice of Representation Evaluation, Selection, and Survival Reproduction: Crossover and Mutation Areas of Application TEACHING UNIT 6. NEURAL NETWORKS Introduction to Neural Networks Biological Origin The Formal Neuron Perceptron Feed-Forward Networks Learning Other Networks
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Are the Educa PHAROS courses eligible for credit?

Many courses can be credited toward the master's programs at Structuralia.
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Facts about our area

+ 1.483

Hours

+88.999

Minutes

264

Courses

Educa PHAROS is a next-generation training model that places a company’s human capital at the forefront. Through a platform that adapts to each company’s corporate identity and offers a total of more than 900 courses, it provides tailored training for each organization. The unlimited flat-rate plan provides each company with the number of courses that best suits its needs, as well as the ability to determine which employees will have access.
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