Internet of Things (IoT)
Internet of Things online course. IoT connects networked objects to digitize processes and data, innovating services and business with AI and machine learning.
Course description
Internet of Things (IoT or Internet of Things) is the technology that enables to maximizes the collection and utilization capabilities of data from a multitude of sources (industrial products, factory systems, transportation vehicles...) for the benefit of increased digitization and automation of processes.
IoT also allows leveraging machine learning and artificial intelligence to create new business and valuable services for customers and consumers.
In short, IoT refers to a network of objects (nodes) connected through technologies and protocols that exchange and process messages.
In addition, the recent wave of forced smart working should be a good opportunity to highlight an issue that is still "in power" as the cyber security of agile work, especially when the smart worker uses IoT devices at home.
Main topics:
- Introduction to IoT
- The elements of an IOT infrastructure
- Industrial IOT
- Solutions and case studies
- Related technologies
Who is the course for?
Job opportunities and roles that benefit from this course
After-sales
- After sales inspector
Design
- Electrical sw designer
- Electrical hm designer
- Mechanical designer
Sales
- Project manager
- After sales assistant
Staff
- Management personnel responsible
Course goals
Basic Concepts
Providing the skills necessary to understand the key points of the Internet of Things
Scenarios
Identifying application scenarios, the ways in which key business processes can be-improved and made more efficient
Services
Understanding how these technologies make it possible to revolutionize the services offered or introduce new ones with a strong digital component
Industrial IoT (IIoT)
Analyze how IoT can be applied in industrial environments, covering topics such as Industry 4.0, predictive maintenance, intelligent manufacturing and energy management, with the aim of optimizing production processes.
This course includes
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Examples of real business cases
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Course completion certificate
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Downloadable in-depth content
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Help desk support
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Access from mobile and tablet
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Comprehensive monitoring of educational progress
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Skills assessment test (mandatory)
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Intermediate assessment tests (optional)
Course completion certificate
After completing the course it is possible to obtain a downloadable certificate to display as evidence of the skills achieved. The certification can be combined according to company needs.
Course's lecturer
Emiliano Battistini
- System Engineer
- IT Consultant
- Anni di consolidata esperienza in progetti ICT
Course's contents
- Definition
- History
- Functioning
- Benefits
- Applications
- Market
- Sensors and activators
- Connectivity
- Edge Computing
- Data collection and storage
- Processing and analysis
- Issues
- Industry 4.0: Big Data, Artificial Intelligence, Blockchain
- Definition of IIOT
- Predictive maintenance
- Traceability
- Smart production
- IoT Security
- a4GATE: DiscoverIndustrial Cybersecurity Software
- a4SENTINEL: Discover Data Monitoring Platform
- Big Data
- Artificial Intelligence
- Blockchain
Entry requirements
Access to any browser
PC / Tablet / Smartphone device
Internet connection
Connected Machine Area
Discover the training courses designed specifically for the roles involved in the management of projects based on Connected Machines for the improvement of production plants and processes.
| After-sales | AI & Machine Learning | Cloud Computing | Business intelligence & OEE | Big Data & Data Governance | Information Security | Internet of Things (IoT) | Service Management |
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| Design | AI & Machine Learning | Cloud Computing | Business intelligence & OEE | Big Data & Data Governance | Information Security | Internet of Things (IoT) | Service Management |
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| Sales | AI & Machine Learning | Cloud Computing | Business intelligence & OEE | Big Data & Data Governance | Information Security | Internet of Things (IoT) | Service Management |
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| Staff | AI & Machine Learning | Cloud Computing | Business intelligence & OEE | Big Data & Data Governance | Information Security | Internet of Things (IoT) | Service Management |
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