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Designing and Implementing IoT Solutions – Level 4


Duration: 2 Days


This is the last level in the series of IoT courses. This course deals with advanced cognitive services which makes smart solutions. Various types of artificial intelligence entities like Face detection, Voice recognition, Computer vision and NLP (Natural Language Processing) would be discussed along with hands-on labs. Also ‘IoT Security’, a very important subject in reference to IoT solutions would be focused on during this training. Best practices for security would be shared. A few design considerations for IoT product / solution development as a whole would also be discussed with case studies. Finally, it would be the time to implement all the knowledge acquired in all the sessions. Attendees have to submit a project which they have to implement within 9 hours live. Our instructors would be available for expert advice and assist if required. The documentation has to be completed in a defined format and upload the project on their social media an...Read more


  • To learn the implementation of IoT solutions with artificial intelligence services like Face detection, Voice Recognition, etc.
  • To learn design considerations for real-time IoT product / solution development with case studies
  • To learn about security best practices for any IoT based implementation
  • To design and implement a live IoT project within time frame and documentation

Who Should Attend

  • Software Developers aspiring to code IoT programs
  • IT Professionals engaging in IoT projects
  • Mechanical / Electrical Engineers / Students looking out to automate, monitor or remote control equipments
  • Any individual who needs brief idea on the concept for product development or career enhancement


  • Completion of ‘Fundamentals of IoT – L1’ course
  • Completion of ‘Working with Electronics in IoT – L2’ course
  • Completion of ‘Programming Fundamentals for IoT’ course (for attendees who doesn’t have any background with programming languages)
  • Completion of ‘Cloud Robotics and Advanced IoT Architecture – L3’ course

Course Outline

Day 1

  • Data Science for IoT
    • Data Science ingestion technologies
    • Big Data analytics and platforms
    • Machine learning
    • Business intelligence with Power BI
  • Design considerations for IoT solutions
    • UX development
    • AI development
    • Mobile apps development
  • Security planning for IoT solutions
    • Potential loopholes found in IoT environment
    • Security best practices for devices
    • Security best practices for protecting data and environment
    • Security disasters noted in past
  • Machine Learning APIs – Azure Cognitive services
    • Understanding and Integrating Face detection
    • Understanding and Integrating Voice Recognition
    • Bringing Operational Intelligence with Computer Vision
    • Lab: Implementing Face Detection using a Raspberry Pi module with camera
    • Lab: Creating and training a Voice Recognition model to make system identify yourself

Day 2

  • Live Project
    • Design, Implement and Submit Project with live demonstration on social media. Our instructors would be there the entire day to assist you and help you implement your idea.

About The Trainer

Arzan Amaria
Cloud Solutions Architect

2204524-12 Arzan has 7+ years of experience in Microsoft Infrastructure technology stack including setting up Windows servers, designing Active Directory and managing various domain services, including Hyper-V virtualization. As a Cloud Solution Architect at CloudThat, he is responsible for deploying, supporting and managing client infrastructures on Azure. Having core training and consulting experience, he is also involved in delivering training to corporate and individuals on Azure. He holds a MCSE (Server Track). Other certification include VCA-DCV (Datacenter Virtualization – Associate) and CTT+ (Certified Technology Trainer).

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