AI & Data Science

Edge AI for Industry 4.0

Leveraging Edge AI Technologies for Smart Manufacturing

Workload: 256 hours Topics: AI for Edge Computing
Initial Registration โ€” 80 EUR This initial payment is credited toward tuition. Program-specific discounts may apply.
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Program overview

Edge AI for Industry 4.0 is a comprehensive training course designed to equip participants with the skills necessary to implement artificial intelligence solutions at the edge of networks, specifically tailored for the manufacturing sector. This program emphasizes hands-on, project-based learning, allowing attendees to engage with real-world scenarios and develop practical applications of Edge AI. Participants will explore various technologies, frameworks, and tools that empower industries to enhance operational efficiency, reduce latency, and improve decision-making processes.
Throughout the course, learners will work collaboratively on projects that culminate in a final presentation, where they can showcase their findings and innovations. The course encourages participants to publish their results in Cademix Magazine, fostering a culture of knowledge sharing and professional development. By the end of the program, attendees will have a robust understanding of Edge AI applications in Industry 4.0, making them valuable assets to their organizations or future employers.
Introduction to Edge AI and its significance in Industry 4.0
Overview of AI algorithms suitable for edge computing
Hardware and software architectures for Edge AI solutions
Data collection and preprocessing techniques for edge devices
Deployment strategies for AI models in edge environments
Real-time data analytics and decision-making processes
Integration of IoT devices with Edge AI systems
Case studies of successful Edge AI implementations in manufacturing
Tools and platforms for developing Edge AI applications
Final project: Design and implement an Edge AI solution for a specific industrial challenge

Learning goal

To develop practical skills in implementing Edge AI solutions that enhance manufacturing processes and operational efficiency.

Target group

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

Prerequisites

Basic understanding of AI concepts, familiarity with programming (preferably Python), and knowledge of data science fundamentals.

Format and certification

Teaching method: Project-based, interactive learning with collaborative group work and individual projects.

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