IoT Training Course for Architects

 

Master End-to-End IoT Architecture, Design Scalable Systems & Lead Digital Transformation

🌐 Course Description

Step into the future of connected technology with this comprehensive, architect-level Internet of Things (IoT) training program—designed to transform you into a next-generation IoT Solution Architect.

This course takes you far beyond basic concepts. You’ll explore real-world IoT architectures, cutting-edge communication protocols, cloud and edge computing, AI-driven analytics, and advanced security frameworks—all structured in a practical, industry-relevant format.

From sensors and connectivity to cloud platforms and machine learning, you’ll gain deep expertise in designing scalable, secure, and high-performance IoT ecosystems used across industries like smart cities, healthcare, manufacturing, transportation, and energy.

Whether you’re building smart devices, architecting enterprise IoT platforms, or leading digital transformation initiatives, this course equips you with the skills, tools, and strategic mindset needed to succeed.

📘 Based on a structured curriculum covering IoT architecture, communication systems, edge/cloud computing, analytics, and security

🎯 Who Should Attend?

This course is ideal for:

• IoT Architects & Solution Designers
• Software Engineers & Developers (Embedded / Cloud / Full Stack)
• Network & Telecom Professionals
• Cloud & DevOps Engineers
• AI/ML & Data Professionals entering IoT
• Industry Professionals (Manufacturing, Smart Cities, Energy, Healthcare)
• Engineering Students & Tech Enthusiasts
• Technical Managers & Digital Transformation Leaders

💡 Key Benefits

🧠 Deep Technical Mastery

• End-to-end understanding of IoT architecture (device → edge → cloud)
• knowledge of protocols like MQTT, CoAP, LoRaWAN, 5G, Bluetooth, Zigbee

🌍 Real-World Industry Applications

• Use cases across smart cities, healthcare, logistics, agriculture, and energy
• Practical system design insights for enterprise deployments

☁️ Cloud, Edge & AI Integration

• Learn Fog, Edge, and Cloud computing architectures
• Apply data analytics and machine learning in IoT ecosystems

🔐 Security-First Approach

• Master IoT cybersecurity, cryptography, blockchain integration, and compliance
• Understand real-world threats like Mirai & Stuxnet attacks

📡 Networking & Communication Expertise

• Deep dive into WPAN, WLAN, WAN, 4G/5G, LPWAN technologies
• Design robust, scalable communication architectures

🏗️ Architect-Level Skills

• Develop the ability to design, deploy, and optimize IoT solutions
• Learn the role of an IoT architect in enterprise environments

🚀 Career Opportunities

After completing this course, you can pursue high-demand roles such as:

🔹 IoT Solution Architect

Design end-to-end IoT systems for enterprises and smart infrastructure

🔹 IoT Developer / Engineer

Build connected devices, applications, and IoT platforms

🔹 Embedded Systems Engineer

Work on sensors, firmware, and hardware-level integrations

🔹 Cloud IoT Engineer

Deploy and manage IoT solutions on AWS, Azure, or Google Cloud

🔹 IoT Security Specialist

Protect IoT ecosystems from cyber threats and vulnerabilities

🔹 Data Analyst / AI Engineer (IoT)

Work on IoT data pipelines, analytics, and machine learning models

🔹 Telecom & Network Engineer (IoT/5G)

Design next-gen connectivity solutions for IoT networks

🔹 Digital Transformation Consultant

Lead IoT-driven innovation across industries

🌟 Why This Course Stands Out

✔ Industry-aligned curriculum
✔ Covers everything from sensors to AI & security
✔ Designed for architect-level expertise
✔ Combines theory + real-world applications
✔ Perfect for career transition into IoT leadership roles

📈 Final Takeaway

If you want to future-proof your career and become a leader in IoT and digital transformation, this course is your complete roadmap.

 

Table of Contents

 

Training Module 1: The IoT Story

History of the IoT

IoT potential

• Industrial and manufacturing
  • Industrial and manufacturing IoT use cases and impact
• Consumer
  • Consumer IoT use cases
• Retail, financial, and marketing
  • Retail IoT use cases
• Healthcare
  • Healthcare IoT use cases
• Transportation and logistics
  • Transportation and logistics IoT use cases
• Agricultural and environmental
  • Agricultural and environmental IoT use cases
• Energy
  • Energy IoT use cases
• Smart city
  • Smart city IoT use cases
• Government and military
  • Government and military IoT use cases

Training Module 2: IoT Architecture and Core IoT Modules

IoT ecosystem

• IoT versus machine to machine
• The value of a network and Metcalfe’s and Beckstrom’s law
• IoT architecture
• Role of an architect

Part 1 – Sensing and power
Part 2 – Data communication
Part 3 – Internet routing and protocols
Part 4 – Fog and edge compute, analytics, and machine learning
Part 5 – Threat and security in IoT

 

Training Module 3: Sensors, Endpoints, and Power Systems

Sensing devices

• Thermocouples and temperature sensing
  • Thermocouples
  • Resistance Temperature Detectors
  • Thermistors
  • Temperature sensor summary
• Hall effect sensors and current sensors
• Photoelectric sensors
• PIR sensors
• LiDAR and active sensing systems

MEMS sensors

• MEMS accelerometers and gyroscopes
• MEMS microphones
• MEMS pressure sensors

Smart IoT endpoints

• Vision system

Sensor fusion

Input devices

• Output devices

Functional examples (putting it all together)

• Functional example – TI SensorTag CC2650
• Sensor to controller

Energy sources and power management

• Power management

Energy harvesting

• Solar harvesting
• Piezo-mechanical harvesting
• RF energy harvesting
• Thermal harvesting

Energy storage

• Energy and power models
• Batteries
• Supercapacitors
• Radioactive power sources
• Energy storage summary and other forms of power

 

Training Module 4: Communications and Information Theory

Communication theory

• RF energy and theoretical range
• RF interference

• Information theory
  Bitrate limits and the Shannon-Hartley theorem
  Bit error rate
  Narrowband versus wideband communication
• The radio spectrum
  Governing structure
• Summary
• Training Module 5: Non-IP Based WPAN
• Wireless personal area network standards
  80215 standards
• Bluetooth
  Bluetooth history
  Bluetooth 5 communication process and topologies
  Bluetooth 5 stack
  Bluetooth 5 PHY and interference
  Bluetooth packet structure
  BR/EDR operation
  BLE operation
  Bluetooth profiles
  BR/EDR security
  BLE security
  Beaconing
  Bluetooth 5 range and speed enhancement
  Bluetooth mesh introduction
  Bluetooth mesh topology
  Bluetooth mesh addressing modes
  Bluetooth mesh provisioning

 

• IEEE 802154
  IEEE 802154 architecture
  IEEE 802154 topology
  IEEE 802154 address modes and packet structure
  IEEE 802154 start-up sequence
  IEEE 802154 security
• Zigbee
  Zigbee history
  Zigbee overview
  Zigbee PHY and MAC (and difference from IEEE 802154)
  Zigbee protocol stack
  Zigbee addressing and packet structure
  Zigbee mesh routing
  Zigbee association
  Zigbee security
• Z-Wave
  Z-Wave overview

Z-Wave protocol stack
Z-Wave addressing
Z-Wave topology and routing

 

Training Module 6: IP-Based WPAN and WLAN

Internet protocol and transmission control protocol

• IP role in IoT

WPAN with IP – 6LoWPAN

• 6LoWPAN topology
• 6LoWPAN protocol stack
• Mesh addressing and routing
• Header compression and fragmentation
• Neighbor discovery
• 6LoWPAN security

WPAN with IP – Thread

• Thread architecture and topology
• Thread protocol stack
• Thread routing
• Thread addressing
• Neighbor discovery

IEEE 80211 protocols and WLAN

• IEEE 80211 suite of protocols and comparison
• IEEE 80211 architecture
• IEEE 80211 spectrum allocation
• IEEE 80211 modulation and encoding techniques
• IEEE 80211 MIMO — 206
• IEEE 80211 packet structure
• IEEE 80211 operation
• IEEE 80211 security
• IEEE 80211ac
• IEEE 80211p vehicle-to-vehicle
• IEEE 80211ah

 

Training Module 7: Long-Range Communication Systems and Protocols (WAN)

Cellular connectivity

• Governance models and standards
• Cellular access technologies
• 3GPP user equipment categories

 

• 4G-LTE spectrum allocation and bands
  4G-LTE topology and architecture
  4G-LTE E-UTRAN protocol stack
  4G-LTE geographical areas, dataflow, and handover procedures
  4G-LTE packet structure
• Cat 0, Cat 1, Cat M1, and NB-IoT
  LTE Cat-0
  LTE Cat-1
  LTE Cat-M1 (eMTC)
  LTE Cat-NB
• 5G
• LoRa and LoRaWAN
  LoRa physical layer
  LoRaWAN MAC layer
  LoRaWAN topology
  LoRaWAN summary
• Sigfox
  Sigfox physical layer
  Sigfox MAC layer
  Sigfox protocol stack
  Sigfox topology

 

• Training Module 8: Routers and Gateways

• Routing functions
  Gateway functions
  Routing
  Failover and out-of-band management
  VLAN
  VPN
  Traffic shaping and QoS
  Security functions
  Metrics and analytics
  Edge processing
• Software-Defined Networking
  SDN architecture
  Traditional internetworking
  SDN benefits

 

• Training Module 9: IoT Edge to Cloud Protocols

 

Protocols
MQTT

• MQTT publish-subscribe
• MQTT architecture details
• MQTT packet structure
• MQTT communication formats
• MQTT working example

MQTT-SN

• MQTT-SN architecture and topology
• Transparent and aggregating gateways
• Gateway advertisement and discovery
• Differences between MQTT and MQTT-SN

Constrained Application Protocol

• CoAP architecture details
• CoAP Messaging Formats
• CoAP usage example

Other protocols

• STOMP
• AMQP

Protocol summary and comparison

Training Module 10: Cloud and Fog Topologies

Cloud services model

• NaaS
• SaaS
• PaaS
• IaaS

Public, private, and hybrid cloud

• Private cloud
• Public cloud
• Hybrid cloud

The OpenStack cloud architecture

• Keystone – identity and service management
• Glance – image service
• Nova compute
• Swift – Object Storage
• Neutron – Networking services
• Cinder – Block Storage

Constraints of cloud architectures for IoT
Latency effect

Fog computing

The Hadoop philosophy for Fog computing
Fog Computing versus Edge Computing versus cloud computing
OpenFog Reference Architecture

• Application services
• Application support
• Node management and software backplane
• Hardware virtualization
• OpenFog node security
• Network
• Accelerators
• Compute
• Storage
• Hardware platform infrastructure
• Protocol abstraction
• Sensors, actuators, and control systems

Amazon Greengrass and Lambda
Fog Topologies

 

Training Module 11: Data Analytics and Machine Learning in the Cloud and in the Fog

Basic data analytics in IoT

• Top-level cloud pipeline
• Rules engines
• Ingestion – streaming, processing, and data lakes
• Complex event processing
• Lambda architecture
• Sector use cases

Machine learning in IoT

• Machine learning models
• Classification
• Regression
• Random forest
• Bayesian models
• Convolutional Neural Networks
  • First layer and filters

Max pooling and subsampling
Hidden layers and formal description on forwarding propagation
CNN examples
CNN training and backpropagation

RNN
Training and inference for IoT
IoT data analytics and machine learning comparison and assessment

 

Training Module 12: IoT Security

Cyber security vernacular
Attack and threat terms
Defense terms

Anatomy of IoT cyber attacks
Mirai
Stuxnet
Chain Reaction

Physical and hardware security
Root of Trust
Key management and trusted platform modules
Processor and memory space
Storage security
Physical security

Cryptography
Symmetric cryptography
Asymmetric cryptography
Cryptographic hash (authentication and signing)
Public Key Infrastructure
Network stack – Transport Layer Security

Software defined perimeter
Software-Defined Perimeter architecture

Blockchains and cryptocurrencies in IoT
Bitcoin (blockchain-based)
IOTA (directed acyclic graph-based)

Government regulations and intervention
US Congressional Bill – Internet of Things (IoT)

Cybersecurity Improvement Act of 2017
Other governmental bodies

IoT security best practices
Holistic security

Security checklist

Training Module 13: Consortiums and Communities

PAN consortia

• Bluetooth SIG
• Thread Group
• Zigbee Alliance
• Miscellaneous

Protocol consortia

• Open Connectivity Foundation and Allseen Alliance
• OASIS
• Object Management Group
• IPSO Alliance
• Miscellaneous

WAN consortia

• Weightless
• LoRa Alliance
• Internet Engineering Task Force
• Wi-Fi Alliance

Fog and edge consortia

• OpenFog
• EdgeX Foundry

Umbrella organizations

• Industrial Internet Consortium
• IEEE IoT
• Miscellaneous

Master end-to-end IoT architecture with this advanced training course for architects. Learn IoT protocols, cloud, edge computing, AI, security, and real-world applications to design scalable and secure IoT solutions across industries.

CONTACT

mail@global-skills-institute.com