IoT & AI Systems
Explore how the Internet of Things (IoT) and Artificial Intelligence (AI) converge to create intelligent, connected systems. This course introduces you to smart devices, sensors, automation, and AI-driven decision-making, preparing you to design and apply innovative solutions in industries such as agriculture, healthcare, and smart cities. Gain practical insights into building smarter, data-driven systems that transform everyday life and business operations.
About Course
This course provides a foundational understanding of the Internet of Things (IoT), exploring the interconnected world of smart devices and systems. Participants will learn how IoT devices communicate, the underlying technologies, and the potential applications of IoT in various industries. The course will cover basic concepts of IoT architecture, networks, security challenges, and hands-on experiences with IoT devices.
What I will learn?
- 1. Understand IoT Fundamentals
- 2. Build and Configure IoT Devices
- 3. Connect IoT Devices to the Cloud
- 4. Apply AI to IoT Data
- 5. Use Edge AI Tools
- 6. Create Practical IoT + AI Solutions
- 7. Work with No-Code/Low-Code Tools
- 8. Troubleshoot IoT Systems
- 9. Present a Final IoT–AI Project
Course Curriculum
Module 1: Understanding IoT
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What IoT is and how it works
00:00 -
IoT architecture (Devices → Network → Cloud → Application)
00:00 -
Real-world IoT applications (smart homes, industry, agriculture, health)
Module 2: Introduction to AI for IoT
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What is AI and where it meets IoT
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Machine learning basics for smart systems
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Cloud platforms and data management
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AI use cases in IoT: prediction, automation, anomaly detection
Module 3: Sensors & Actuators
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Common sensors: temperature, humidity, motion, proximity, light, gas
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Actuators: relays, motors, LEDs, alarms
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How sensors communicate with IoT devices
Module 4: Microcontrollers for IoT
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Introduction to Arduino, ESP32, Raspberry Pi (or virtual platforms)
00:00 -
Best practices for data privacy and security
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Inputs, outputs, and data reading
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IoT programming basics (Arduino IDE or MicroPython)
Module 5: IoT Communication
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Wi-Fi, Bluetooth, MQTT, HTTP
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IoT communication protocols & data flow
00:00 -
Edge computing vs Cloud computing
Module 6: IoT Cloud Platforms
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Introduction to cloud dashboards
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Using platforms like AWS IoT, Blynk, ThingsBoard, or Adafruit IO
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Sending sensor data to the cloud
Module 7: AI Models in IoT
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Using AI to classify, detect, and predict
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Building basic ML models for IoT
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AI-powered automation
Module 8: Edge AI
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Running AI models on microcontrollers (TinyML basics)
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AI-driven IoT control (motion detection, anomaly detection)
Module 9: Data Visualization
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Creating IoT graphs & dashboards
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Analytics and reporting for IoT
Module 10: IoT Automation
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Rules engine
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Trigger-based automation
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AI-driven decision making
Module 11: System Integration
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Combining sensors, cloud, dashboards, and AI
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Troubleshooting and optimization
Module 12: Final Project Support
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Smart home automation
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Smart farming solution
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Smart energy monitoring
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Smart security system
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Wearable health device concept
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$200.00
$400.00
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LevelBeginner
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Duration32 hours 45 minutes
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Last UpdatedJanuary 9, 2026
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CertificateCertificate of completion
Hi, Welcome back!
Material Includes
- Lecture slides & notes (PDF)
- IoT practical guides (sensor setup, wiring diagrams, cloud setup)
- AI mini-tutorials (data analysis, simple models, tools)
- Project templates and sample code
- Video walkthroughs for all practical activities
- Downloadable resources (dashboards, worksheets, checklists)
- Access to recommended tools (Blynk, ThinkSpeak, Edge AI apps)
Requirements
- Laptop or desktop computer with internet
- Basic computer skills (typing, browsing, installing apps)
- Smartphone (for IoT apps and testing)
- Optional IoT kit (ESP32/Arduino + basic sensors)
- Free accounts: Google, Blynk/ThinkSpeak, AI tools
- Headphones & webcam for online sessions
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Target Audience
- Beginners interested in IoT, AI, and smart technologies
- Students and young professionals exploring tech careers
- Teachers and trainers wanting to introduce IoT/AI in classrooms
- Entrepreneurs building smart solutions or prototypes
- Tech enthusiasts who enjoy hands-on projects and gadgets
