IOT Training – Blue Ocean Data Solutions

Practical IoT Training Course Content

In the rapidly evolving landscape of Industry 4.0, the Internet of Things (IoT) stands out as a transformative technology. Blue Ocean Data Solutions offers specialized IoT training programs designed to equip professionals and businesses with the knowledge and skills needed to harness the power of IoT effectively. This course is designed for professionals, engineers, and enthusiasts who want to understand and implement IoT technologies in real-world applications.

Learning Outcomes

Course Contents

DAY 1: Introduction to IoT and Basic Components

Section 1: Introduction to IoT

What is IoT?
Definition and significance
Key concepts and technologies
IoT Architecture
Components: Sensors, actuators, connectivity and cloud
How IoT systems interact and function

Section 2: IoT Hardware and Sensors

Overview of IoT Devices
Types of sensors
Actuators and their functions
Introduction to Microcontrollers and Development Boards
Connecting Sensors to Microcontrollers
Wiring and interfacing sensors with microcontrollers

Section 3: Hands-On Lab

Assembling and configuring development boards
Connecting and calibrating basic sensors
Writing simple code to read sensors data

DAY 2: IoT Data Management and Connectivity

Section 4: Data Acquisition and Processing

Data Acquisition
Collecting data from sensors
Data types and formats
Data Processing and Storage
Local vs Cloud Storage
Introduction to databases and data formats

Section 5: Connectivity and Communication Protocols

Connectivity Options
Wi-Fi, Bluetooth, Zigbee and cellular
Communication Protocols
MQTT, HTTP/HTTPS, CoAP
Setting Up IoT Communication
Establishing connections between devices and servers.

Section 6: Hands-On Lab

Programming microcontrollers for data acquisition
Sending data to a cloud platform or local server
Implementing communication protocols using MQTT or HTTP

DAY 3: IoT Integration and Application Development

Section 7: IoT Platform Integration

Introduction to IoT Platforms
Cloud platforms: AWS IoT, Microsoft Azure IoT, Goggle Cloud IoT
Creating and Configuring IoT Applications
Device registration, data visualization and analytics
Security Considerations
Securing IoT devices and data transmission

Section 8: Developing IoT Applications

Building an IoT Application
Integrating sensors, data acquisition and cloud services
User interface and Visualization
Creating dashboards and visualizing data
Prototyping and Testing
Testing the IoT system and making adjustments

Section 9: Hands-On Lab

Developing a complete IoT application
Integrating Sensors, data processing and cloud storage
Creating a user interface for data visualization

Course Details

Duration: 3 Days

Format: Classroom instruction with hands-on labs

Prerequisites: Basic knowledge of electronics and programming; familiarity with microcontrollers is helpful.