Course Objectives

To understand how to design IoT system using Azure IoT and Microsoft Azure cloud computing services like Azure Data& Storage, Azure Networking services, Azure massaging services, Azure analytics services like machine learning, Azure Cognitive Services and Big Data with Azure HDInsight.

Eligibility Criteria

Any student pursuing Diploma/B.E./M.E./M.Tech. (All disciplines) and Industry Professionals.

Laboratory Details

High Computing System, Raspberry Pi III, Visual Studio 2015, Microsoft Azure Cloud Services.

Training Outcomes:

• Understand various basic concepts related to cloud computing technologies

• Understand the architecture and concept of different cloud models: IaaS, PaaS, SaaS

• Understand & Implement Modern Cloud App Services on Azure.

• Learn & utilize power of Microsoft compute and networking services.

• Understand Cloud Data & Storage Services and its implementations

• Understand the underlying principle of cloud messaging services.

• Understand Cloud Analytics Services like Machine Learning on Azure.

• Understand how to manage and build solutions around Big Data on Cloud using Azure HDInsight.

• Learn to develop Microsoft cognitive services enable applications.

• Learn to develop scalable IoT Applications using Azure features.

Job Opportunities

• IoT System Designer and Developer

• Cloud Administrator

• Windows Azure Developer

Course Certification:

• Training Certification by Getwings Technologies Pvt. Ltd.

• Global Certification by Loftysoft AB, Sweden

Training Durations

 150 Hrs.

Course Fees  

• Training Fees: 5000 + GST (18 %)

• Global Certification Fees: USD 10

Batch Size: 25

Course Coordinators:

• Prof. Hemang J. Shah, Asst. Prof., Computer Science & Engineering Department 

• Prof. Nikunj Y. Kansara, Asst. Prof., Computer Science & Engineering Department