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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 and our project database to earn the

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  • 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


Course Outline

Day 1

  • Data Science for IoT
  • Design considerations for IoT solutions
  • Security planning for IoT solutions
  • Machine Learning APIs – Azure Cognitive services
    Hands-on: Implementing Face Detection using a Raspberry Pi module with camera
    Hands-on: 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
Sr. Solutions Architect – Cloud and IoT

Arzan has more than 9 years of experience in Microsoft infrastructure technology stack, Data Science, Cloud and IoT. He has great amount of experience in deploying Cloud based solutions. He is a multi-cloud professional with exposure to Azure, AWS and other IIoT Cloud platforms like GE Predix and IBM Watson.

As a Cloud Solution Architect at CloudThat, he is an expert at deploying, supporting and managing client infrastructures on Azure. Having core training and consulting experience, he specializes in delivering individual training and corporate training on Azure. He is also engaged in extensive research and development in the field of IoT and Data Science and leads a team for the same. He has delivered trainings on IoT and is currently designing Cloud integrated solutions.

He has been training professionals for various Microsoft partners such as Wipro, HPE, HCL, Infosys, Accenture, TCS and many more in the recent past.

He holds following Certifications:

  • GE Predix Certified Developer
  • Microsoft Certified Trainer (MCT)
  • CTT+ (Certified Technical Trainer)
  • MCSD: Azure Solutions Architect
  • MCSE (Server Track)
  • MCTS in Machine Learning
  • VCA-DCV (Data Center Virtualization – Associate)
  • Microsoft Certified Specialist with Hyper – V Virtualization
  • AWS Certified Solutions Architect – Associate Level
  • CEH (Certified Ethical Hacker, EC Council University US)
MCT CompTIA Cloud Essentials Microsoft Certified Solutions Developer
MCSE Microsoft Certified Technology Specialist MCTS vmware certified professional data center virtualization
Microsoft Specialist Server Virtualization with Windows Server AWS Solutions Architect Associate Certified Ethical Hacker

Other Details


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