Machine-To-Machine (M2M): Technologies and Applications

Autonomous vehicle powered by internet of things technology

This course provides a comprehensive overview of Machine-to-Machine (M2M) technologies and applications. It introduces the use cases, system designs and their deployment options in various industries such as metering, healthcare, smart city, automotive and industrial.

You will learn about the different types of M2M solutions such as Cellular, Capillary, and Hybrid solutions, as well as the different components of an M2M system, including Sensor and Actuator Nodes, Gateways, Access and Core Network, Servers and Terminals.

The course also covers the specifics of GSM/GPRS/Edge, UMTS/HSPA, and LTE/LTE-A for M2M, as well as ZigBee/802.15.4 and WiFi for M2M, including their advantages and limitations. You will learn about the integration of M2M technologies with the internet, including the aspects of Quality of Service (QoS) and Key Performance Indicators (KPIs). Additionally, the course covers business models for M2M and provides real-world case studies and deployment options to help you understand how these technologies are used in practice.

The course will provide you with a solid understanding of M2M technologies and applications, and how they can be used to achieve specific goals in various industries. Whether you are an engineer, IT professional, or just interested in the latest advancements in M2M technologies, this course will provide you with the knowledge and skills you need to succeed.

  • Technical managers that want to learn and understand the benefits and potential issues of M2M
  • Technical managers that want to understand 2G, 3G and 4G and ZigBee/802.15.4 and WiFi integration in M2M systems
  • Development, application and deployment engineers that require good understanding of M2M issues so they can solve real-world M2M problems and architect systems
Instructor-led Training
  • Classroom: 5 days
  • LIVE Virtual*: 35 hours
  • A minimum of 6 or more participants are required to commence a company-based LIVE Virtual course
  • LIVE Virtual courses can be conducted for 5 hours or 7 hours daily. Please note that the number of training days will be extended if you opt for 5 hours daily.

There are no upcoming course dates currently scheduled for this course. If you are keen on attending this course, please register your interest and indicate your preferred start/end training dates via our course enquiry form for us to open a Classroom/LIVE Virtual class schedule for this course.

At the end of this course, participants will be able to:

  • Analyze the applications of M2M technology in various sectors such as Metering, Healthcare, Smart City, Automotive, and Industrial
  • Evaluate market statistics and make predictions about the M2M industry
  • Choose appropriate Cellular, Capillary, or Hybrid solutions for M2M applications
  • Design and implement M2M systems using key elements such as Sensor and Actuator Nodes, Gateways, Access and Core Network, Servers, and Terminals
  • Compare and contrast the technical specifics of GSM/GPRS/Edge, UMTS/HSPA, LTE/LTE-A, ZigBee/802.15.4, and WiFi for M2M
  • Integrate M2M systems with the Internet
  • Evaluate the quality of service and KPIs of M2M systems
  • Analyze and apply different business models in the M2M industry
  • Assess real-world case studies and deployment options in M2M technology
  1.   Introduction
  2.   M2M Architecture
  3.   Overview of Cellular Technologies for M2M
  4.   Overview of Cellular Technologies for M2M (cont’d)
  5.   Cellular and Integration with the Internet
  6.   Overview of Short-range Capillary Technologies for M2M
  7.   Coverage and Capacity Analysis
  8.   M2M Deployments
Note: A Certificate of Completion will only be issued upon achieving at least 75% attendance for the course.
  • A strong understanding of wireless communication systems is required
  • Experience with 2G and 3G wireless technologies and IP networks is recommended
Enrolled: 0 students
Duration: Classroom: 5 days / LIVE Virtual: 35 hours
Level: Classroom

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