IoT: basic to advance

Module Highlights:

Introduction to IoT: Understand the core concepts of IoT, including its architecture, key components, and applications across various industries.
Sensors and Actuators: Learn about the different types of sensors and actuators, and how they interact with IoT devices to collect and respond to data.
Connectivity & Communication: Explore the various communication protocols and networking technologies that enable IoT devices to connect and exchange data.
Data Management & Cloud Integration: Gain skills in managing IoT data, utilizing cloud services for storage, processing, and analysis.
Security & Privacy: Address critical issues related to IoT security and privacy, and learn strategies to protect data and devices from potential threats.
Advanced Topics & Project Development: Delve into advanced IoT topics such as edge computing and machine learning, and apply your knowledge to hands-on projects that simulate real-world IoT scenarios.

Responsible	LearnVantage
Last Update	25/08/2024
Completion Time	1 day 16 hours 50 minutes
Members	1

Course

- Definition, History, and Evolution
  
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- Key Components of IoT
  
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- Platforms, Protocols, and Standards
  
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- Use Cases and Applications of IoT
  
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- Architectures, Protocols, and Applications
  
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- Protocols_ HTTP, Websockets, REST APIs.
  
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- Networking Technologies
  
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- IoT Standards_ OCF, oneM2M, AllJoyn
  
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- Introduction to IoT Hardware
  
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- Popular IoT Devices
  
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- Sensor Types and Uses
- Actuators
- motor
- LEDs
- Interfacing and Communication
- I2C
- SPI
- UART
- Programming Languages for IoT
- JavaScript
- Development Environments
- Firmware Development
- Introduction to IoT Platforms
- Connecting Devices to the Cloud
- Data Storage and Processing
- Cloud Services Machine learning real-time processing
- Hands on Lab Connecting an IoT device to a cloud platform
- Data Collection Techniques and best practices
- Data Processing Filtering aggregation and transformation
- Data Analytics Descriptive predictive and prescriptive analytics
- Visualization Tools Grafana Power BI Tableau
- Hands on Lab Analyzing and visualizing IoT data
- Security Challenges in IoT Threats vulnerabilities and attacks
- Security Solutions Encryption authentication access control
- Privacy Concerns Data privacy and compliance
- Introduction to IIoT Differences between IoT and IIoT
- Key Components Sensors PLCs SCADA systems
- Applications Smart factories predictive maintenance supply chain management
- Protocols and Standards OPC-UA Modbus PROFIBUS
- Case Studies Examples of successful IIoT implementations
- Project Planning Defining goals scope and requirements
- Design and Prototyping Building and testing prototypes
- Deployment Strategies Pilot testing scaling and maintenance
- Project Management Tools Agile Scrum Kanban
- Hands on Lab Planning and deploying a small scale IoT project
- Emerging Technologies AI 5G blockchain edge computing
- IoT in Smart Cities Infrastructure transportation energy management
- Wearable IoT Health monitoring fitness tracking