AI & Data Science

AI and Robotics for Engineers

Integrating AI and Robotics for Engineering Solutions

Workload: 448 hours Topics: AI Tools and Software Platforms
Initial Registration โ€” 80 EUR This initial payment is credited toward tuition. Program-specific discounts may apply.
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Program overview

The "AI and Robotics for Engineers" course equips participants with essential skills to leverage artificial intelligence and robotics in engineering contexts. This program emphasizes hands-on, project-based learning, allowing engineers to directly apply theoretical knowledge to real-world challenges. Participants will engage in interactive sessions that foster collaboration and innovation, culminating in a final project that showcases their ability to integrate AI technologies with robotic systems.
Throughout the course, learners will explore a wide range of topics, including machine learning algorithms, robotic process automation, and the development of intelligent systems. The program encourages participants to document and publish their findings in Cademix Magazine, providing an opportunity to contribute to the broader engineering community. By the end of the course, participants will have a comprehensive understanding of how to implement AI and robotics in their engineering practices, enhancing their employability and professional growth.
Introduction to AI and its Applications in Engineering
Fundamentals of Robotics and Automation
Machine Learning Techniques for Engineers
Data Acquisition and Sensor Integration
Programming for Robotics: Python and ROS
Designing Intelligent Systems with AI
Robotic Process Automation (RPA) in Engineering
AI-Driven Predictive Maintenance Solutions
Collaborative Robotics (Cobots) in Manufacturing
Final Project: Developing a Robotic System with AI Integration

Learning goal

Equip participants with the knowledge and skills to effectively integrate AI and robotics into engineering solutions, enhancing their professional capabilities.

Target group

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Prerequisites

A background in engineering or a related field, with basic knowledge of programming and data analysis.

Format and certification

Teaching method: Project-based, interactive learning environment with opportunities for publishing results.

Certificate: Certificate of Attendance or Certificate of Expert issued by Cademix Institute of Technology.

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Cademix Institute of Technology e.U.Continuing Education ยท Professional Development ยท Austria