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Microsoft Azure Certification BootCamp for AI-100 (Designing and Implementing an Azure AI Solution)


Duration: 4 Days


This is a new course announced by Microsoft. During this course candidates can analyze requirements for Cloud-based AI solutions and hybrid AI solutions, recommends appropriate tools and technologies and implements solutions that meet scalability and performance requirements. Candidates after taking this training will gain the knowledge on various components that make up the Microsoft Azure AI portfolio, related open source frameworks and technologies and available data storage options. This course is also for Azure AI Engineers who use Cognitive Services, Machine Learning and Knowledge Mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, bots and agent to build AI solutions. Why you need to attend this course?
  • Through Machine Learning, business make smarter data driven decisions
  • Machine Learning is the hottest career path of 21st century
  • To learn about Azure machine learning services
  • To be able to
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  • To build an AI solutions on Azure
  • To learn about various Azure Machine Learning services. It’s usage & integration.
  • To understand the profound impacts how Machine Learning is making in smart business decisions
  • To deploy AI solutions in Azure

Who Should Attend

  • Professionals working in various industries who wants to formally get the fundamental understanding of Azure Machine Learning
  • Enthusiasts who want to keep pace with the changing technologies


  • Basic knowledge of Cloud platform: Microsoft Azure
  • Basic understanding of Machine Learning
  • Basics of statistics, data ethics and data privacy
  • Some IT industry work experience or those pursuing a degree in the IT field
  • Strong learning acumen

Course Outline

Day 1

  • Analyze Solution Requirement
    • Identify Storage Solutions
    • Recommend Tools, Technologies and Processes to Meet Process Flow Requirements
    • Map Security Requirements to Tools, Technologies and Processes
    • Select Software and Services Required to Support the Solution

Day 2

  • Design Solutions
    • Design an AI Solution That Includes One or More Pipelines
    • Design the Compute Infrastructure to Support a Solution
    • Design Intelligent Edge Solutions
    • Design Data Governance
    • Design Solutions That Adhere to Cost Constraints

Day 3

  • Integrate AI Models Into Solutions
    • Orchestrate an AI Workflow
    • Integrate AI Services with Solution Components
    • Integrate Intelligent Edge with Solutions

Day 4

  • Deploy and Manage Solutions
    • Provision Required Cloud, On-premises and Hybrid Environments
    • Validate Solutions to Ensure Compliance with Data Privacy and Security Requirements
    • Monitor and Evaluate the AI Environment

About the Trainer

A Certified Microsoft Azure Trainer

Other Details


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