Intermediate
11 Weeks
60 Lectures
Internet of Things (IoT) Learning Course
Master the Internet of Things from fundamentals to advanced applications. Learn sensor networks, Arduino, Raspberry Pi, cloud computing, and build real-world IoT solutions for smart cities, connected vehicles, and smart grids.
3-5 hours
Per week
11 Weeks
Total duration
11 Projects
Hands-on practice
Weekly Learning Path
Follow this structured 11-week curriculum covering 60 comprehensive lectures on IoT.
1
Week 1: IoT Fundamentals & Connectivity Basics
12 Lectures
Lectures Covered
Lecture 1: Introduction to IoT - I
PDF- What is Internet of Things
- IoT architecture and components
- IoT applications and use cases
- IoT ecosystem overview
Lecture 2: Introduction to IoT - II
PDF- IoT enabling technologies
- Sensors and actuators
- Communication protocols
- IoT platforms and services
Lecture 3: Connectivity Technologies - I
PDF- Wired vs wireless communication
- Short-range wireless technologies
- Wi-Fi and Bluetooth basics
- Network topologies
Lecture 4: Connectivity Technologies - II
PDF- Zigbee protocol
- LoRa and LoRaWAN
- Low power wide area networks
- Protocol comparison
Lecture 5: Connectivity Technologies - III
PDF- Cellular IoT (NB-IoT, LTE-M)
- 5G for IoT applications
- Satellite communication
- Network selection criteria
Lecture 6: Connectivity Technologies - IV
PDF- MQTT protocol
- CoAP protocol
- HTTP/HTTPS for IoT
- Protocol selection guidelines
Lecture 7: IoT Data Management - I
PDF- Data collection methods
- Data preprocessing
- Data storage solutions
- Time-series databases
Lecture 8: IoT Data Management - II
PDF- Data analytics for IoT
- Real-time data processing
- Data visualization techniques
- Big data in IoT
Lecture 9: IoT Security - I
PDF- IoT security challenges
- Authentication mechanisms
- Encryption techniques
- Secure boot and firmware updates
Lecture 10: IoT Security - II
PDF- Network security
- Device management security
- Privacy concerns
- Security best practices
Lecture 11: IoT Standards and Protocols
PDF- IoT standards organizations
- Industry standards overview
- Compliance requirements
- Interoperability standards
Lecture 12: IoT Architecture Patterns
PDF- Edge computing architecture
- Gateway patterns
- Cloud-native IoT
- Hybrid architectures
Weekly Assignment
Research and document IoT architecture for a specific use case with connectivity requirements
Weekly Assessment
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2
Week 2: IoT Connectivity & Sensor Networks
4 Lectures
Lectures Covered
Lecture 13: Connectivity Technologies – V
- Z-wave protocol for home automation
- ISA100.11a for industrial automation
- Mesh network topology
- RF signaling and control
Lecture 14: Sensor Networks – I
- Introduction to sensor networks
- Sensors, transducers, and actuators
- Network topology and coverage
- Real-time monitoring
Lecture 15: Sensor Networks – II
- Stationary vs mobile sensor networks
- Aerial mobile sensor networks
- Network protocols
- Data aggregation
Lecture 16: Sensor Networks - III
- Applications in agriculture
- Healthcare applications
- Space applications
- Research use cases
Weekly Assignment
Set up a basic sensor network simulation and analyze different connectivity protocols
Weekly Assessment
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3
Week 3: Advanced Sensor Networks & Communication
5 Lectures
Lectures Covered
Lecture 17: Sensor Networks - IV
- Advanced network architectures
- Energy efficiency
- Routing protocols
- Network optimization
Lecture 18: Sensor Networks - V
- Network security
- Data integrity
- Quality of Service
- Performance metrics
Lecture 19: UAV Networks
- Unmanned Aerial Vehicles basics
- UAV communication
- Network applications
- Challenges and solutions
Lecture 20: Machine to Machine Communication
- M2M fundamentals
- Communication protocols
- M2M architectures
- Use cases and applications
Lecture 21: Interoperability in IoT
- Interoperability challenges
- Standards and protocols
- Data formats
- Integration techniques
Weekly Assignment
Design a UAV-based sensor network for agricultural monitoring with M2M communication
Weekly Assessment
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4
Week 4: Arduino Basics & Integration
4 Lectures
Lectures Covered
Lecture 22: Introduction to Arduino - I
- Arduino board basics
- Hardware components
- IDE setup
- First program
Lecture 23: Introduction to Arduino - II
- Digital I/O operations
- Analog I/O
- Arduino programming
- Libraries and functions
Lecture 24: Arduino with Sensors & Actuators - I
- Sensor integration
- Reading sensor data
- Actuator control
- Basic projects
Lecture 25: Arduino with Sensors & Actuators - II
- Advanced sensor projects
- Motor control
- Display integration
- IoT applications
Weekly Assignment
Build an Arduino-based IoT device with multiple sensors and actuators
Weekly Assessment
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5
Week 5: Python Programming for IoT
2 Lectures
Lectures Covered
Lecture 26: Introduction to Python - I
- Python basics
- Data types and variables
- Control structures
- Functions
Lecture 27: Introduction to Python - II
- Object-oriented programming
- File handling
- Libraries and modules
- Error handling
Weekly Assignment
Write Python programs for data processing and IoT device communication
Weekly Assessment
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6
Week 6: Raspberry Pi & IoT Implementation
5 Lectures
Lectures Covered
Lecture 28: Introduction to Raspberry Pi - I
- Raspberry Pi hardware
- Operating system setup
- GPIO basics
- Python on Pi
Lecture 29: Introduction to Raspberry Pi - II
- GPIO programming
- Peripheral interfacing
- Network configuration
- Remote access
Lecture 30: IoT with Raspberry Pi - I
- Sensor integration with Pi
- Data collection
- Network communication
- Basic IoT projects
Lecture 31: IoT with Raspberry Pi - II
- Web services on Pi
- Database integration
- Cloud connectivity
- Advanced projects
Lecture 32: IoT with Raspberry Pi - III
- Real-time data processing
- Analytics on Pi
- Security considerations
- Production deployment
Weekly Assignment
Create a complete IoT system using Raspberry Pi with cloud connectivity
Weekly Assessment
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7
Week 7: Software-Defined Networking for IoT
4 Lectures
Lectures Covered
Lecture 33: Software-Defined Networking - I
- SDN fundamentals
- Control and data planes
- OpenFlow protocol
- SDN controllers
Lecture 34: Software-Defined Networking - II
- SDN architectures
- Network virtualization
- SDN applications
- Performance
Lecture 35: Software-Defined IoT Networking - I
- SDN for IoT
- IoT network challenges
- SDN benefits for IoT
- Architecture design
Lecture 36: Software-Defined IoT Networking - II
- Implementation strategies
- Case studies
- Performance optimization
- Future trends
Weekly Assignment
Design an SDN-based IoT network architecture with OpenFlow
Weekly Assessment
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8
Week 8: Cloud, Fog & Edge Computing
9 Lectures
Lectures Covered
Lecture 37: Cloud Computing - Fundamentals
- Cloud computing basics
- Service models (IaaS, PaaS, SaaS)
- Deployment models
- Key characteristics
Lecture 38: Cloud Computing - Service Models
- Infrastructure as a Service
- Platform as a Service
- Software as a Service
- Comparison and use cases
Lecture 39: Cloud Computing - Management & Security
- Service management
- Security challenges
- Privacy concerns
- Best practices
Lecture 40: Cloud Computing - Case Studies
- Real-world implementations
- Industry examples
- Success stories
- Lessons learned
Lecture 41: Cloud Computing - Practical
- Hands-on cloud setup
- Deploying applications
- Resource management
- Monitoring and scaling
Lecture 42: Sensor-Cloud - I
- Sensor-Cloud concept
- Architecture design
- Benefits and challenges
- Data management
Lecture 43: Sensor-Cloud - II
- Implementation details
- Use cases
- Performance analysis
- Future directions
Lecture 44: Fog Computing - I
- Fog computing basics
- Edge vs Cloud vs Fog
- Architecture
- Key advantages
Lecture 45: Fog Computing - II
- Fog computing applications
- Implementation
- Case studies
- Challenges
Weekly Assignment
Deploy an IoT application on cloud platform and implement fog computing layer
Weekly Assessment
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9
Week 9: IoT Applications: Smart Systems
7 Lectures
Lectures Covered
Lecture 46: Smart Cities and Smart Homes - I
PDF- Introduction to smart cities
- Smart city components
- Smart home basics
- IoT in urban infrastructure
Lecture 47: Smart Cities and Smart Homes - II
- Smart home technologies
- Automation systems
- Energy management
- Security systems
Lecture 48: Smart Cities and Smart Homes - III
- Smart city infrastructure
- Urban IoT applications
- Traffic management
- Waste management
Lecture 49: Connected Vehicles - I
- Vehicle-to-vehicle communication
- Vehicle-to-infrastructure
- Connected car technologies
- Safety applications
Lecture 50: Connected Vehicles - II
- Autonomous driving
- VANET protocols
- Real-time systems
- Future of transportation
Lecture 51: Smart Grid - I
- Smart grid fundamentals
- Components and architecture
- Smart meters
- Communication protocols
Lecture 52: Smart Grid - II
- Grid optimization
- Renewable energy integration
- Demand response
- Security and privacy
Weekly Assignment
Final Project: Design a complete smart city solution or connected vehicle system
Weekly Assessment
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10
Week 10: Advanced IoT Topics & Industrial Applications
4 Lectures
Lectures Covered
Lecture 53: Industrial IoT - I
PDF- Introduction to IIoT
- Industry 4.0 concepts
- Industrial communication protocols
- Manufacturing automation
Lecture 54: Industrial IoT - II
PDF- Predictive maintenance
- Asset tracking
- Quality control systems
- IIoT case studies
Lecture 55: IoT Analytics & Machine Learning
PDF- ML for IoT data
- Anomaly detection
- Predictive analytics
- Edge AI applications
Lecture 56: IoT Blockchain Integration
PDF- Blockchain basics
- IoT and blockchain synergy
- Supply chain applications
- Decentralized IoT networks
Weekly Assignment
Develop an Industrial IoT solution with predictive analytics capabilities
Weekly Assessment
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11
Week 11: Emerging IoT Technologies & Future Trends
4 Lectures
Lectures Covered
Lecture 57: Digital Twins in IoT
PDF- Digital twin concepts
- Virtual modeling
- Real-time synchronization
- Use cases and benefits
Lecture 58: IoT in Healthcare & Wearables
PDF- Healthcare IoT applications
- Wearable devices
- Remote patient monitoring
- Health data analytics
Lecture 59: IoT Ethics & Regulations
PDF- Ethical considerations
- Privacy regulations (GDPR)
- Data governance
- Responsible IoT deployment
Lecture 60: Future of IoT & Capstone
PDF- Emerging IoT trends
- 6G and beyond
- Quantum computing for IoT
- Career opportunities in IoT
Weekly Assignment
Capstone Project: Build a comprehensive IoT solution integrating multiple technologies learned
Weekly Assessment
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🎯 Bonus Tips
- Build hands-on projects with Arduino and Raspberry Pi
- Experiment with different IoT protocols and connectivity technologies
- Deploy IoT applications on cloud platforms (AWS IoT, Azure IoT, Google Cloud IoT)
- Practice with real sensors and actuators
- Join IoT communities and hackathons
- Explore open-source IoT platforms like ThingsBoard or Home Assistant
Bonus Quiz: Data Handling, Analytics & Case Studies
Test your knowledge on data handling, analytics techniques, and real-world IoT case studies with these additional questions.
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What's Next?
After completing this 11-week IoT course, you'll have comprehensive knowledge of Internet of Things technologies and applications. Here are recommended next steps:
- Build a complete end-to-end IoT solution with real hardware
- Explore advanced topics like edge AI and machine learning on IoT devices
- Contribute to open-source IoT projects on GitHub
- Learn about IoT security best practices and implement secure IoT systems
- Experiment with industrial IoT (IIoT) protocols and applications
- Get certified in IoT platforms (AWS IoT, Azure IoT, Google Cloud IoT)
- Join IoT communities, attend conferences, and participate in hackathons
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