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Building Scalable and Autonomous IoT Solutions
TUES

Building Scalable and Autonomous IoT Solutions

Milen Spasov
Language
English
ECTS
2.0
Partners
TUES

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Course Information

Thematic Area
IoT Architecture, AI Integration and Strategic Planning
Study Format
Online
Course Type
Microcredential
Date
TBA
Sync Hours
5-10
Async Hours
40-45
Sectors
Information and Communication Technologies (ICT); Financial Services and Insurance; Retail and E-commerce; Healthcare and Life Sciences; Manufacturing
EQF Level
6
SDGs
SDG 11 – Sustainable Cities and Communities; SDG 17 – Partnerships for the Goals

Course Description

Design, analyse and strategically deploy scalable IoT architectures integrating edge, cloud and AI, with security and compliance. Build modern systems using 5G; design autonomous/smart systems and digital twins; lead interdisciplinary execution and decision-making.

Assessment

Self-Assessment Quizzes; Practical Lab Exercises; Assignments; Essays/Reports; Knowledge Checks; Final Exam (Online); Case Studies; Projects

Study Methods

Lectures; Videos; Hands on Labs; Practical Labs; Case Studies; Live Code Demos; Code Reviews; Literature Reading

Learning Outcomes

Design end-to-end IoT architectures (edge, cloud, AI); apply ML to IoT data; implement security frameworks for large-scale deployments; translate business needs to IoT strategies; lead cross-functional teams; design a digital twin and an adaptive autonomous IoT system; utilise 5G for scalable infrastructure.

Hard Skills

IoT system architecture design; Edge AI implementation; IoT cybersecurity frameworks; Data pipelines and analytics infrastructure; Communication protocols and 5G; Digital twins and autonomous systems

Soft Skills

Strategic thinking and innovation management; Leadership and team coordination; Cross-functional communication and stakeholder engagement
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