Certified IoT Architect & exam


HRDF INDCERT:  50% funding (applicable to HRDF members & classroom-based training)

VILT (Virtual Instructor-Led Training): RM4,700 / pax (INCLUDE exam)

The IoT Architect track is comprised of three modules that develop skills in Internet of Things (IoT) technology and architecture, along with proficiency in radio protocols, telemetry messaging and IoT architecture layers. The final course module consists of a series of lab exercises that require participants to apply their knowledge of the preceding courses in order to fulfill project requirements and solve real world problems. Completion of these courses as part of a virtual or on-site workshop results in each participant receiving an official Digital Certificate of Completion, as well as a Digital Training Badge from Acclaim/Credly.

To achieve the IoT Architect Certification, Exam IOT90.01 must be completed with a passing grade. A Certified IoT Architect understands the business value behind the utilization of the Internet of Things, and has demonstrated proficiency in the design of IoT devices and solutions with scalable connectivity and based on a range of functional distribution models, including models based on edge computing. Those who achieve this certification receive an official Digital Certificate of Excellence, as well as a Digital Certification Badge from Acclaim/Credly, with an account that supports the online verification of certification status.


3 days

Course Outline:
Module 1: Fundamental IoT

This module covers the essentials of the field of Internet of Things (IoT) from both business and technical aspects. Fundamental IoT use cases, concepts, models and technologies are covered in plain English, along with introductory coverage of IoT architecture and IoT messaging with REST, HTTP and CoAp.

Primary topics covered are:

  • Understanding Things, Connectivity, Data, Processing, Commands and Business Analytics
  • IoT Business and Technology Drivers, Benefits and Challenges
  • Miniaturization and Nanotechnology
  • IoT Connectivity and Contextual Realtime Data
  • IoT Business Domains (Personal, Home, Enterprise, Utilities, Mobile)
  • Resource-Constrained Devices and Low-Power Wide-Area Networks (LPWANs)
  • Active and Passive Devices (including RFID)
  • IoT vs. the Internet
  • Telemetry and Command Data
  • Sensors (Mechanical, Resistive, Optical, Ranging, MEMS)
  • Microcontrollers, Firmware and Power Sources
  • IoT Gateways and Common Gateway Functions
  • Introduction to Edge and Fog Computing
  • IoT Platforms and Common Platform Functions
  • IoT Architecture Layers and Action Modeling
  • Key IoT Architecture Design Considerations
  • Radio Transports (Leased vs. Unleased, High Band vs. Low Band)
  • IoT Messaging with REST, HTTP and the Constrained Application Protocol (CoAp)
  • REST Properties and Constrains with IoT and CoAp
  • HTTP Resource Identifiers, Media Types and Method with IoT and CoAps
  • IoT Publish-and-Subscribe and MQ Telemetry Transport (MQTT)
  • Non-Binary Data Serialization for IoT with JSONs
  • Binary Data Serialization for IoT with Protocol Buffers
Module 2: IoT Technology & Architecture

This module provides a drill-down into key areas of IoT technology architecture and enabling technologies by breaking down IoT environments into individual building blocks via design patterns and associated implementation mechanisms. This module covers topics such as Layered architectural models, design techniques and feature-sets covering the processing of telemetry data, positioning of control logic, performance optimization, as well as addressing scalability and reliability concerns.

Primary topics covered are:

  • Components of an IoT Device (including sensor, actuator, modem, control logic, etc.)
  • IoT Platforms, Gateways and Publish-Subscribe Systems
  • Device Shadows and Device Shadow Registries
  • Trusted Platform Module (TPM) and the Truncated Exponential Back-off Algorithm
  • Fundamental Functional Distribution Patterns
  • Autonomous Controlling Device Model, Intermediary Controlling Model
  • Multi-Gateway Intermediary Controlling Model, Recipient Device Controlling Model
  • Telemetry Processing Patterns
  • Minimalized Data, Canonical Data Format
  • Telemetry Modeling, Intermediary Metadata Provisioning
  • Information Transduction and Encoding
  • Performance Optimization Patterns
  • Observe Messaging, Transport Quality Traffic Profile
  • Reconnection Request Regulation, Device Workload Regulation
  • Security, Reliability and Utility Patterns
  • Radio Transport Encryption, Firmware Integrity Attestation
  • Message Bookkeeping, Multimode Communication
  • Network-Based Positioning and Triangulation

Module 3: IoT Technology & Architecture Lab

This module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will help highlight areas that require further attention and will help prove hands-on proficiency in IoT concepts, technologies, architecture models and devices, as they are applied and combined to solve real-world problems.

The Certified Trainer works closely with participants to ensure that all exercises are carried out completely and accurately. Attendees can voluntarily have exercises reviewed and graded as part of the class completion.

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