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2 Courses

IOT (Internet of Things)
Preview Course

IOT (Internet of Things)

Building Smart (IoT) Solutions with M2M

HRDC Registration Number: 10001469130

Course Overview

This 2-day (14-hour) course introduces participants to building complete IoT systems leveraging Machine-to-Machine (M2M) communication. It covers the integration of IoT with emerging technologies such as AI, Industry 4.0, and 5G, focusing on "smart" IoT solutions that emphasize self-configurable, end-to-end automation. Participants will explore standards and tools like IEEE 802.15.4, 6LOWPAN, CoAP, and LWM2M, with hands-on demonstrations using platforms like Cooja and Contiki.


Who Should Attend?

  • IT and Network Engineers
  • IoT Solution Developers
  • System Architects and Cyber-Physical Systems Engineers
  • Industry 4.0 Solution Designers
  • Professionals in M2M Communication and Automation

Target Industries:

  • IT and Telecommunications
  • IoT Solution Providers
  • Smart Home and Enterprise Automation
  • Industrial Automation and Industry 4.0
  • Big Data, AI, and Cloud Service Providers

Why Choose This Course?
HRDC-claimable, this course blends theoretical knowledge with practical demonstrations, enabling participants to design and build IoT systems suited for both enterprise and industrial applications.


Learning Outcomes

Participants will:

  1. Build IoT systems integrating cloud, big data, and machine learning.
  2. Design IoT architecture components, including gateways, sensors, and services.
  3. Implement IoT solutions using IEEE 802.15.4, 6LOWPAN, CoAP, and LWM2M.
  4. Leverage open standards and tools for IoT development.

Prerequisites

  • Basic knowledge of networking and computing

Teaching Methodology

  • Lectures and Presentations: Foundational and advanced topics explained
  • Hands-On Labs: Real-world applications using Cooja and Contiki
  • Case Studies and Group Discussions: Industry scenarios and solutions
  • Problem-Solving Sessions: Practical exercises to reinforce learning

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  • IOT (Internet of Things)
    Preview Course

    IOT (Internet of Things)

    IoT (Internet of Things) is changing the world

    HRDC Reg. No: 10001469131
    Duration: 7 hours (1 day)

    Course Overview

    This 1-day (7-hour) course explores the transformative impact of the Internet of Things (IoT) on industries worldwide. Participants will learn about the IoT ecosystem, enabling technologies, business models, and commercial deployments. The course delves into IoT’s value creation, business maturity, and strategies for practical applications, empowering participants to leverage IoT for innovative solutions and industry growth.


    Who Should Attend?

    • Business Leaders and Managers
    • Telecom and IT Professionals
    • Entrepreneurs and Startups
    • Corporate Strategists and Technology Consultants
    • Professionals exploring IoT-enabled business models

    Target Industries:

    • Telecommunications and IT
    • Smart Cities and Urban Development
    • Healthcare, Agriculture, and Utilities
    • Transportation, Logistics, and Public Sector

    Why Choose This Course?
    As an HRDC-claimable course, it bridges theoretical insights with practical use cases, preparing participants to capitalize on IoT technologies and business opportunities effectively.


    Learning Outcomes

    Participants will:

    1. Understand IoT value creation and business models.
    2. Compare key enabling technologies and ecosystem players.
    3. Analyze IoT commercial use cases and deployments.
    4. Discuss IoT’s business evolution and strategies for success.

    Prerequisites

    • General knowledge of telecommunications is recommended but not required.

    Teaching Methodology

    • Lectures and Presentations: Foundational concepts and strategies
    • Case Studies: Real-world IoT deployment insights
    • Group Discussions: Collaborative learning and idea sharing
    • Use Case Examples: Industry-specific applications
    • Interactive Q&A: Addressing participant queries
    • Business Model Analysis: Practical exercises

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