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IoT Fundamentals Training Course
IoT Fundamentals Training Course
IoT Fundamentals Training Course
Master the Connected World – From Sensors to Smart Cities
Transform your understanding of the Internet of Things (IoT) with this industry-ready, comprehensive training program designed for professionals, engineers, and decision-makers.
Whether you’re entering the IoT domain or upgrading your expertise, this course takes you from core fundamentals to real-world industrial applications, covering everything from IoT architecture, protocols, and data analytics to security and smart city solutions.

🌟 Why This Course Stands Out
✔ End-to-End IoT Coverage – From “Things” (sensors & actuators) to cloud, analytics, and business value
✔ Real Industry Use Cases – Manufacturing, Oil & Gas, Utilities, Smart Cities, Transportation, Mining & Public Safety
✔ Architecture Understanding – Learn IoT reference models, network layers, and deployment strategies
✔ Future-Ready Skills – Edge computing, Fog computing, AI/ML in IoT, and Big Data integration
✔ Security-First Approach – Learn how to secure IoT ecosystems across IT & OT environments
🎯 Who Should Attend
This course is ideal for:
👨💻 Technical Professionals
- Network Engineers & Telecom Professionals
- IoT Developers & Embedded Engineers
- IT Infrastructure & Cloud Engineers
- Data Engineers & Analytics Professionals
🏢 Business & Management Professionals
- Digital Transformation Leaders
- Product Managers & Innovation Heads
- Strategy Consultants
- Operations & Plant Managers
🎓 Learners & Aspirants
- Engineering Students (ECE, IT, CS)
- Professionals transitioning into IoT
- Anyone looking to build a career in Industry 4.0
💡 What You Will Gain (Key Benefits)
🧠 Deep Technical Expertise
- Understand IoT architecture (oneM2M, IoTWF, layered models)
- Learn communication technologies like LoRaWAN, NB-IoT, LTE-M, IEEE standards
- Master IoT protocols such as MQTT, CoAP, IP optimization (6LoWPAN, RPL)
⚙️ Practical Industry Knowledge
- Design connected factories, smart grids, smart cities, and transportation systems
- Explore real-world deployments across industries
- Learn integration of IT & OT systems
📊 Data & Intelligence Skills
- Work with IoT data pipelines and analytics
- Understand Machine Learning, Big Data, Edge Analytics, Kafka, Hadoop
- Translate data into business insights
🔐 Security & Risk Management
- Learn IoT cybersecurity frameworks (OCTAVE, FAIR)
- Secure industrial protocols (Modbus, DNP3, OPC)
- Build resilient IoT architectures
🚀 Career Acceleration
- Become industry-ready for IoT, Industry 4.0, Smart Infrastructure roles
- Enhance your profile for high-demand digital transformation projects
- Gain a competitive edge in global tech careers
📦 What’s Inside the Course
- 15+ Detailed Training Modules
- Architecture, Protocols & Networking Deep Dive
- Real Industry Case Studies
- IoT Security & Risk Frameworks
- Smart Cities & Industrial IoT Applications
- Advanced Topics: Edge, Fog, AI, Big Data
🔥 The Bottom Line
If you want to build, design, or manage IoT solutions at scale, this course gives you everything you need—from technical depth to strategic insight.
👉 Don’t just learn IoT. Master it. Design it. Lead it.
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Contents
Part I: Introduction to IoT
Training Module 1: What Is IoT?
- Genesis of IoT
- IoT and Digitization
- IoT Impact
- Connected Roadways
- Connected Factory
- Smart Connected Buildings
- Smart Creatures
- Convergence of IT and OT
- IoT Challenges
- Summary
Training Module 2: IoT Network Architecture and Design
- Drivers Behind New Network Architectures
- Scale
- Security
- Constrained Devices and Networks
- Data
- Legacy Device Support
- Comparing IoT Architectures
- The oneM2M IoT Standardized Architecture
- The IoT World Forum (IoTWF) Standardized Architecture
IoT Reference Model Layers:
- Layer 1: Physical Devices and Controllers Layer
- Layer 2: Connectivity Layer
- Layer 3: Edge Computing Layer
- Upper Layers: Layers 4–7
- IT and OT Responsibilities in the IoT Reference Model
- Additional IoT Reference Models
A Simplified IoT Architecture
The Core IoT Functional Stack
- Layer 1: Things – Sensors and Actuators Layer
- Layer 2: Communications Network Layer
Access Network Sublayer
Gateways and Backhaul Sublayer
Network Transport Sublayer
IoT Network Management Sublayer
- Layer 3: Applications and Analytics Layer
- Analytics Versus Control Applications
- Data Versus Network Analytics
- Data Analytics Versus Business Benefits
- Smart Services
IoT Data Management and Compute Stack
- Fog Computing
- Edge Computing
- The Hierarchy of Edge, Fog, and Cloud
- Summary
Part II: Engineering IoT Networks
Training Module 3: Smart Objects: The “Things” in IoT
- Sensors, Actuators, and Smart Objects
- Sensors
- Actuators
- Micro-Electro-Mechanical Systems (MEMS)
- Smart Objects
- Smart Objects: A Definition
- Trends in Smart Objects
- Sensor Networks
- Wireless Sensor Networks (WSNs)
- Communication Protocols for Wireless Sensor Networks
- Summary
Training Module 4: Connecting Smart Objects
- Communications Criteria
- Range
- Frequency Bands
- Power Consumption
- Topology
- Constrained Devices
- Constrained-Node Networks
IoT Fundamentals
Data Rate and Throughput
Latency and Determinism
Overhead and Payload
IoT Access Technologies
IEEE 802.15.4
Standardization and Alliances
Physical Layer
MAC Layer
Topology
Security
Competitive Technologies
IEEE 802.15.4 Conclusions
IEEE 802.15.4g and 802.15.4e
Standardization and Alliances
Physical Layer
MAC Layer
Topology
Security
Competitive Technologies
IEEE 802.15.4g and 802.15.4e Conclusions
IEEE 1901.2a
Standardization and Alliances
Physical Layer
MAC Layer
Topology
Security
Competitive Technologies
IEEE 1901.2a Conclusions
IEEE 802.11ah
Standardization and Alliances
Physical Layer
MAC Layer
Topology
Security
Competitive Technologies
IEEE 802.11ah Conclusions
LoRaWAN
Standardization and Alliances
Physical Layer
MAC Layer
Topology
Security
Competitive Technologies
LoRaWAN Conclusions
NB-IoT and Other LTE Variations
Standardization and Alliances
LTE Cat 0
LTE-M
NB-IoT
Topology
Competitive Technologies
NB-IoT and Other LTE Variations Conclusions
Summary
Training Module 5: IP as the IoT Network Layer
The Business Case for IP
- The Key Advantages of Internet Protocol
- Adoption or Adaptation of the Internet Protocol
The Need for Optimization
- Constrained Nodes
- Constrained Networks
- IP Versions
Optimizing IP for IoT
- From 6LoWPAN to 6Lo
- Header Compression
- Fragmentation
- Mesh Addressing
- Mesh-Under Versus Mesh-Over Routing
- 6Lo Working Group
- 6TiSCH
- RPL
- Objective Function (OF)
- Rank
IoT Fundamentals
RPL Headers
Metrics
Authentication and Encryption on Constrained Nodes
ACE
DICE
Profiles and Compliances
Internet Protocol for Smart Objects (IPSO) Alliance
Wi-SUN Alliance
Thread
IPv6 Ready Logo
Summary
Training Module 6 Application Protocols for IoT
The Transport Layer
IoT Application Transport Methods
Application Layer Protocol Not Present
SCADA
A Little Background on SCADA
Adapting SCADA for IP
Tunneling Legacy SCADA over IP Networks
SCADA Protocol Translation
SCADA Transport over LLNs with MAP-T
Generic Web-Based Protocols
IoT Application Layer Protocols
CoAP 191
Message Queuing Telemetry Transport (MQTT)
Summary
Training Module 7 Data and Analytics for IoT
An Introduction to Data Analytics for IoT
Structured Versus Unstructured Data
Data in Motion Versus Data at Rest
IoT Data Analytics Overview
IoT Data Analytics Challenges
Machine Learning
Machine Learning Overview
Supervised Learning
Unsupervised Learning
Neural Networks
Machine Learning and Getting Intelligence from Big Data
Predictive Analytics
Big Data Analytics Tools and Technology
Massively Parallel Processing Databases
NoSQL Databases
Hadoop
YARN
The Hadoop Ecosystem
Apache Kafka
Lambda Architecture
Edge Streaming Analytics
Comparing Big Data and Edge Analytics
Edge Analytics Core Functions
Distributed Analytics Systems
Network Analytics
Flexible NetFlow Architecture
FNF Components
Flexible NetFlow in Multiservice IoT Networks
Summary
Training Module 8
Securing IoT
A Brief History of OT Security
Common Challenges in OT Security
Erosion of Network Architecture
Pervasive Legacy Systems
Insecure Operational Protocols
Modbus
DNP3 (Distributed Network Protocol)
ICCP (Inter-Control Center Communications Protocol)
OPC (OLE for Process Control)
International Electrotechnical Commission (IEC) Protocols
Other Protocols
Device Insecurity
Dependence on External Vendors
Security Knowledge
IoT Fundamentals
How IT and OT Security Practices and Systems Vary
The Purdue Model for Control Hierarchy
OT Network Characteristics Impacting Security
Security Priorities: Integrity, Availability, and Confidentiality
Security Focus
Formal Risk Analysis Structures: OCTAVE and FAIR
OCTAVE
FAIR
The Phased Application of Security in an Operational Environment
Secured Network Infrastructure and Assets
Deploying Dedicated Security Appliances
Higher-Order Policy Convergence and Network Monitoring
Summary
Part III IoT in Industry
Training Module 9 Manufacturing
An Introduction to Connected Manufacturing
An IoT Strategy for Connected Manufacturing
Business Improvements Driven Through IoT
An Architecture for the Connected Factory
Industrial Automation and Control Systems Reference Model
The CPwE Reference Model
CPwE Resilient Network Design
Resilient Ethernet Protocol (REP)
Business Value of Resiliency in Converged Networks
CPwE Wireless
CPwE Wireless Network Architecture
Real-Time Location System (RTLS)
Industrial Automation Control Protocols
EtherNet/IP and CIP
PROFINET
The PROFINET Architecture
Media Redundancy Protocol (MRP)
Modbus/TCP
Connected Factory Security
A Holistic Approach to Industrial Security
Network Address Translation in the Factory
The Industrial DMZ
Factory Security Identity Services
Edge Computing in the Connected Factory
Connected Machines and Edge Computing
Summary
Training Module 10 Oil and Gas
An Introduction to the Oil and Gas Industry
Defining Oil and Gas
The Oil and Gas Value Chain
Current Trends in the Oil and Gas Industry
Industry Key Challenges as Digitization Drivers
IoT and the Oil and Gas Industry
Improving Operational Efficiency
The Purdue Model for Control Hierarchy in Oil and Gas Networks
Oil and Gas Use Cases for IoT
The Connected Pipeline
The Connected Refinery
IoT Architectures for Oil and Gas
Control Room Networks for Oil and Gas
Wired Networks for Oil and Gas
Wireless Networks for Oil and Gas
Wireless Use Cases in the Oil and Gas Industry
Mobile Process Control Network Operator
Plant Turnaround
The Risk Control Framework for Cybersecurity in IoT
Securing the Oil and Gas PCN: Background
Securing the Oil and Gas PCN: Use Cases and Requirements
Real-Time Asset Inventory
Remote Access Control
Patch Management
Antivirus (AV) Management
Security Intelligence and Anomaly Detection
Data Analytics for Predictive Asset Monitoring
Summary
IoT Fundamentals
Training Module 11 – Utilities
An Introduction to the Power Utility Industry
The IT/OT Divide in Utilities
The GridBlocks Reference Model
GridBlocks: An 11-Tiered Reference Architecture
The Primary Substation GridBlock and Substation Automation
SCADA
IEC 61850: The Modernization of Substation Communication Standards
IEC 61850 Station Bus
IEC 61850 Process Bus
Migration to IEC 61850
Network Resiliency Protocols in the Substation
Parallel Redundancy Protocol
High-Availability Seamless Redundancy
System Control GridBlock: The Substation WAN
Defining Teleprotection
Distance Protection
Current Differential (87L) Protection
Designing a WAN for Teleprotection
The Field Area Network (FAN) GridBlock
Advanced Metering Infrastructure
Other Use Cases
Demand Response
- An Introduction to the Power Utility Industry
- The IT/OT Divide in Utilities
- The GridBlocks Reference Model
- GridBlocks: An 11-Tiered Reference Architecture
- The Primary Substation GridBlock and Substation Automation
- SCADA
- IEC 61850: The Modernization of Substation Communication Standards
- IEC 61850 Station Bus
- IEC 61850 Process Bus
- Migration to IEC 61850
- Network Resiliency Protocols in the Substation
- Parallel Redundancy Protocol
- High-Availability Seamless Redundancy
- System Control GridBlock: The Substation WAN
- Defining Teleprotection
- Distance Protection
- Current Differential (87L) Protection
- Designing a WAN for Teleprotection
- The Field Area Network (FAN) GridBlock
- Advanced Metering Infrastructure
- Other Use Cases
- Demand Response
- Distribution Automation
- Securing the Smart Grid
- NERC CIP
- Smart Grid Security Considerations
- The Future of the Smart Grid
Training Module 12 – Smart and Connected Cities
- An IoT Strategy for Smarter Cities
- Vertical IoT Needs for Smarter Cities
- Global vs. Siloed Strategies
- Smart City IoT Architecture
- Street Layer
IoT Fundamentals
Distribution Automation
Securing the Smart Grid
NERC CIP — 378
Smart Grid Security Considerations
The Future of the Smart Grid
Summary
References
Training Module 12 — Smart and Connected Cities
An IoT Strategy for Smarter Cities
Vertical IoT Needs for Smarter Cities
Global vs. Siloed Strategies
Smart City IoT Architecture
Street Layer
City Layer
Data Center Layer
Services Layer
On-Premises vs. Cloud
Smart City Security Architecture
Smart City Use-Case Examples
Connected Street Lighting
Connected Street Lighting Solution
Street Lighting Architecture
Smart Parking
Smart Parking Use Cases
Smart Parking Architecture
Smart Traffic Control
Smart Traffic Control Architecture
Smart Traffic Applications
Connected Environment
The Need for a Connected Environment
Connected Environment Architecture
Summary
Training Module 13: Transportation
Transportation and Transports
Transportation Challenges
Roadways
Mass Transit
Rail
Challenges for Transportation Operators and Users
IoT Use Cases for Transportation
Connected Cars
Connected Fleets
Infrastructure and Mass Transit
An IoT Architecture for Transportation
IoT Technologies for Roadways
Bluetooth
Cellular/LTE
An Introduction to DSRC and WAVE
DSRC/WAVE Protocol and Architecture
Connected Roadways Network Architecture
Connected Fleet Architecture
Connected Roadways Security
Extending the Roadways IoT Architecture to Bus Mass Transit
Mass Transit Security
Extending Bus IoT Architecture to Railways
Connected Stations
Connected Train Security
Summary
Training Module 14
Mining
Mining Today and Its Challenges
- Scale
- Safety
- Environment
- Security
- Volatile Markets
Challenges for IoT in Modern Mining
- The OT Roles in Mining
- Connectivity
An IoT Strategy for Mining
- Improved Safety and Location Services
- Driver Safety
- Weather and Lightning
- Slope Monitoring
- Location Services
- Hazardous Gas Detection
- Environmental Monitoring
- Improved Efficiencies
- Improved Collaboration
IoT Security for Mining
An Architecture for IoT in Mining
- IEEE 802.11 as the IoT Access Layer
- 802.11 Outdoor Wireless Mesh
- 802.11 Wireless Mesh Backhaul Considerations
- Wi-Fi Clients
- Antenna Considerations for Wireless Mesh
4G/LTE
Wireless in Underground Mining
Industrial Wireless
Isolated vs. Connected Mine Networks
Core Network Connectivity
Network Design Consideration for Mining Applications
Data Processing
Summary
Training Module 15 Public Safety
Overview of Public Safety
Public Safety Objects and Exchanges
Public and Private Partnership for Public Safety IoT
Public Safety Adoption of Technology and the IoT
An IoT Blueprint for Public Safety
Mission Continuum
Mission Fabric
Inter-agency Collaboration
Emergency Response IoT Architecture
Mobile Command Center
Network and Security Services
Compute and Applications Services
Mobile Vehicles: Land, Air, and Sea
Network and Security Services
Compute and Applications Services
IoT Public Safety Information Processing
School Bus Safety
Bus Location and Student Onboarding/Offboarding
Driver Behavior Reporting
Diagnostic Reporting
Video Surveillance
Student Wi-Fi
Push-to-Talk Communication
School Bus Safety Network Architecture
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Learn IoT fundamentals from basics to advanced with real-world use cases in smart cities, manufacturing, and Industry 4.0. Includes IoT architecture, protocols, analytics, and security.
Comprehensive IoT training covering sensors, networks, protocols, edge computing, data analytics, and cybersecurity. Perfect for telecom, IT, and engineering professionals.
Become an IoT expert with hands-on training in IoT architecture, communication technologies, big data analytics, and industrial applications across multiple sectors.
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