Cloud Computing using Microsoft Azure Internship
Self-Paced
Fee: ₹999
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The Azure Internship provides a comprehensive introduction to Microsoft Azure, a leading cloud platform for building, managing, and deploying applications and services. This course covers fundamental cloud computing concepts, detailed insights into Azure services, and hands-on experience with Azure tools and resources. Additionally, it includes modules on entrepreneurship to help students develop business ideas, market strategies, and essential startup skills.
Objectives
Understand cloud computing and deployment models
Learn Microsoft Azure services
Use Azure Portal, CLI, and PowerShell
Manage Azure resources and optimize performance
Master storage management and data handling in Azure
Deploy and manage Azure Virtual Machines
Grasp entrepreneurship basics and competencies
Apply problem-solution and product-market fit canvases
Develop business models and market strategies
What Will You Learn
Cloud computing and deployment models, Azure services and tools, Azure Portal, CLI, and PowerShell, Managing Azure resources, Optimizing performance in Azure, Storage and data management, Deploying Azure Virtual Machines, Entrepreneurship fundamentals, Problem-solution and product-market fit. Business model development.
Skills you will gain
Curriculum
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Introduction to Microsoft Azure
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1 - Introduction to Cloud Computing
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2 - What is Microsoft Azure?
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3 -Microsoft Azure services
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4 -Azure Portal
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5 -Azure CLI
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6 -Azure Power Shell
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7 -Microsoft Azure- Hands on
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Introduction to ARM & Azure Storage
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1 -Azure Resources & Subscriptions
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2 -Azure Resource Manager
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3 -Managing Azure Resources
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4 -Azure Tags
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5 -Azure Storage Account & its Types
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6 -Azure BLOB Storage
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7 -Azure Content Delivery Network (CDN)
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8 -Azure Files Storage
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9 -Azure File Sync
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10 -ARM & Azure Storage-Hands on
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Introduction to Azure Storage
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1 -Azure Table Storage
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2 -Azure Storage Explorer
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3 -Azure Import/Export Service
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4 -Azure Storage Replication
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5 -Azure Storage-Hands on
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Azure Virtual Machines
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1 -Azure Virtual Machines
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2 -Azure VMS & Interfaces
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3 -ARM Templates
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4 -Data Disks in Azure
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5 -VHD Templates
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6 -Custom Images of Azure VM
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7 -Azure Virtual Machines- Hands on
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Entrepreneurship Skills
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1 Introduction to Entrepreneurship, Entrepreneurs and Entrepreneurial Competencies
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2 Use of Problem Solution Fit Canvas
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3 Basics of the problem solution fit canvas
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4 Personalize The Canvas
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5 What to write in "The Need-Problems" Box
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6 What to write in Customer Segment Box
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7 What to Write in "Triggers to Act Box
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8 What to Write in "Emotions Before/After" box
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9 What to write in "Available Solutions" Box
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10 What to write in "Customer Limitations"
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11 What to Write in "The Need-Behavior" Box
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12 What to write in "Channels & Behavior" Box
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13 What to Write in "Problem" box
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14 What to Write in "Solutions" Box
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15 Closing remarks
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16 What to write in a "Problems That You Are Solving" box
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17 Why Product Market Fit Canvas is Important
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18 Basic No How of Product Market Fit
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19 Let's personalize our Canvas
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20 Step One of Product Market Fit Canvas
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21 Step two of Product Market Fit Canvas
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22 Step Three of Product Market Fit Canvas
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23 Step Four of Product Market Fit Canvas
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24 Step Five of Product Market Fit Canvas
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25 Step Six of Product Market Fit Canvas
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26 Step Seven of Product Market Fit Canvas
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27 Step Eight of Key Matrices
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28 Conclusion and Afterthoughts
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29 Introduction of Business Model Canvas
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30 Why Business Model Canvas is important ?
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31 Personalization of Business Model Canvas
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32 Value Proposition
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33 Customer Segments
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34 Customer Relationship
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35 Channels
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36 Key Resources
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37 Key Partnership
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38 Key Activities
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39 Cost Stream
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40 Use of Business Process Canvas
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41 Revenue Stream
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Project for Cloud Computing using Microsoft Azure Internship
Instructor
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Dr. Priti Maheshwary
Dean at Future Skills Academy Scope Global Skills UniversityDean at Future Skills Academy Scope Global Skills University. Involved in Computer Science and Engineering for over 20 years in higher education and training. Her career has included various software development projects, teaching, research and administrative roles. She enjoys teaching and looking into how to improve student learning experience. Published around 50 research papers in refereed journals and conferences, 7 book chapters, 6 Patents. 8 PhD thesis completed under her guidance in the field of Internet of Things, Smart Cities, Ubiquitous Computing, Wireless Sensor Network, VANET, Image Processing specialized in Satellite Images, AI/ML & Deep Learning, and Cyber Security. Also done more than 10 projects in the field of Research and Consultancy.
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