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This short course introduces core Artificial Intelligence (AI) methods applied in engineering and industrial decision-making. The course focuses on optimization techniques, artificial neural networks, and multicriteria decision-making methods that are commonly used in real-world industrial problems.

 

Pamatkurss topošajiem būvinženieriem, lai tālāk apgūtu RTU studiju kursu “Būvdarbu tehnoloģija un darba drošība”

Pamatkurss topošajiem būvinženieriem, lai tālāk apgūtu RTU studiju kursu “Būvdarbu tehnoloģija un darba drošība”

Artificial Intelligence Driven Process Control Systems introduces students to the principles, methods, and practical challenges of controlling industrial and cyber-physical systems using both classical and artificial intelligence-based approaches. The course begins with the fundamentals of process control, feedback, sensors, system modelling, and PID regulation, and gradually extends these concepts toward adaptive control, fuzzy logic, machine learning, reinforcement learning, digital twins, and intelligent industrial automation.

The course emphasises the practical integration of AI into real control architectures rather than treating AI as a stand-alone technology. Students learn how data from sensors can be processed, interpreted, and used to support prediction, optimisation, fault detection, adaptive decision-making, and supervisory control. Special attention is given to implementation constraints, safety, explainability, lifecycle management, human oversight, and industrial deployment, preparing students to design and critically evaluate AI-driven control solutions for modern manufacturing, robotics, energy, and process-industry applications.

Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including search, knowledge representation and machine learning.

Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including search, knowledge representation and machine learning.

Just taking the first steps towards high-level digital skills! This course is a part of the RTU study course “Basics of Control Theory” and is intended…

Lietišķās komunikācijas ar atsevišķām personām, personu grupām un institūcijām pamatprincipi

Take your first step towards advanced digital skills! This course is part of the RTU study course "Business Analytics" and is designed for a self-paced learning experience to provide an insight into the topic and spark interest. The course is freely accessible; however, it does not offer a certificate upon completion. The full-scale study course provides significant added value—it offers intensive practical work with digital tools and high-performance computing technologies, ensuring the development of advanced digital skills corresponding to levels 7–8 of the European Digital Competence Framework (DigComp). If you wish to study in-depth and receive a certificate certifying the acquired DigComp competences, apply for the full study course as a guest learner through the RTU Lifelong Learning Department: 👉 https://www.rtu.lv/lv/studijas/uznemsana/kursi-klausitajiem 📧 talakizglitiba@rtu.lv 📞 +371 67089439

Unlock the power of processes to drive business success! This course equips you with the skills to design, optimize, and manage business processes that align…

Sper pirmo soli ceļā uz augsta līmeņa digitālajām prasmēm! Šis kurss ir daļa no RTU studiju kursa BM0267 Būvmehānika (1) un paredzēts pašvadītai mācīšanāspieredzei, lai…

Course provides knowledge and practical tools for career planning, researching job market opportunities, and developing essential job search skills. Topics include career planning and self-awareness, analyzing job market trends, internship and job application strategies, and tips for a successful interview. The course provides insight into professional skills and workplace attitudes, as well as maintaining long-term career well-being, resilience, and networking. Practical worksheets and exercises support hands-on learning and career path development.