Duration: 3 Days
With revolution in the world of IoT and increase in number of systems connected to internet it is important for IoT Solution Developers and Architects to understand the end to end implementation of systems. IoT empowers increase of automation in cities, homes, stores and in many industries such as Aviation, Automotive, Retail, Manufacturing and more. Industrial IoT (IIoT) is a larger part of IoT which enables corporate to easily acquire, ingest and process large amounts of data at greater speeds efficiently.
Development of IIoT and Smart Factories enables industries to easily manage and secure their platforms and data with high efficiency and scalability providing energy conservation, predictive maintenance and other operational efficiencies.
Building IoT Solutions using Microsoft Azure is a dedicated 3 days course to enrich your skills and provide hands-on experience on Azure IoT Cloud platform. Microsoft is among one of the leading providers offering tools and services on Azure Cloud for creating IoT Solutions. This course will enable participants to enhance their knowledge on IoT and its integration with other Azure services.
Training objectives are aligned towards the functioning and architecture of Azure IoT platform and using various data ingestion, processing and visualizing services providing an end to end IoT solution. Moreover, we have added integration of AI using Azure cognitive services with IoT systems in this course. It is extensively designed for understanding IoT data and analytics to empower skills on business development.
Hands-on: Creating and Utilizing Storage Account
Hands-on: Provisioning HDInsight Cluster with Data Lake Store
Hands-on: Creating and Configuring IoT Hub
Hands-on: Connecting Devices to Microsoft Azure IoT Hub
Hands-on: Linking Microsoft Azure IoT Hub with Stream Analytics
Hands-on: Setting up Microsoft Azure Time Series Environment and Interfacing the Event Source as Microsoft Azure IoT Hub
Hands-on: Performing Data Exploration of Live Sensor Data
Hands-on: Configuring the Data Retention in Microsoft Azure Time Series Insights
Hands-on: Working with Reference Data Sets
Hands-on: Setting up Authentication and Authorization of Microsoft Azure Time Series Insights
Hands-on: Creating and using Microsoft Azure Functions for E-mail Delivery Service
Hands-on: Setting up an IoT Edge Device
Hands-on: Deploying a Custom Python Module on Edge
Hands-on: Deploying a Stream Analytics Module on Edge
Hands-on: Deploying a Machine Learning Module on Edge
Hands-on: Implementing Face Detection using a Raspberry Pi with Camera Module
Hands-on: Creating and Training a Voice Recognition Model to Make System Identify User
Hands-on: Data Analysis with Power BI
Hands-on: Connecting Applications using Service Bus Queue
Case Studies – Azure IoT Solutions
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:
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