First Semester
Fundamentals of Intelligent Systems - Diploma
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Duration :
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Training Level :
Professional
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Training Path Description
Learn smart systems fundamentals: sensing, decision-making, integration, and best practices to build practical solutions.
This course delivers practical, comprehensive fundamentals of smart systems—from understanding concepts and system components (sensors, processing unit, data) to designing decision logic and turning it into real use-cases. You’ll learn data collection and processing principles, how to integrate software and hardware components, and key considerations like reliability, performance, and security. By the end, you’ll be able to develop a smart system prototype and document its requirements clearly.
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What Will You Gain?
Skills related to the course
- • Understanding smart system architecture (Sensors–Processing–Actuation)
- • Defining system requirements and input/output specifications
- • Designing effective, reliable data flows
- • Building testable and evaluable prototypes
- • Validating quality through test cases and error scenarios
Training Path Objectives
- • Explain what smart systems are and the phases of their lifecycle
- • Identify smart system components and the role of each part
- • Design basic decision logic based on input signals/data
- • Organize the data flow from sensor to processing to output
- • Apply reliability, performance, and security considerations when building a prototype
• Clear view of smart system components and how they work together
• Hands-on practice: decision models based on data
• Integration principles across sensors, processing, and interfaces
• Quality considerations: reliability, performance, and error handling
• Real-world examples that mirror market projects