Professional Level
2 Hands-on labs

Azure AI Solution Requirements

By Dan Sasse

Prepare for Microsoft's Designing and Implementing an Azure AI Solution (AI-100) certification exam.

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2 hours
  • 18 Lessons
  • 2 Hands-On Labs

About the course

Artificial Intelligence, or AI, and the Machine Learning that drives it, is one of the most exciting new frontiers of technology being presented in the cloud today. Microsoft’s Designing and Implementing an Azure AI Solution (AI-100) is an exam that covers the Azure AI services and products available.

The Certification, as described by Microsoft:

  • Candidates for this exam analyze the requirements for AI solutions, recommend appropriate tools and technologies, and implements solutions that meet scalability and performance requirements.

  • Candidates translate the vision from solution architects and work with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end solutions. Candidates design and implement AI apps and agents that use Microsoft Azure Cognitive Services and Azure Bot Service. Candidates can recommend solutions that use open-source technologies.

  • Candidates understand the components that make up the Azure AI portfolio and the available data storage options.

  • Candidates implement AI solutions that use Cognitive Services, Azure bots, Azure Search, and data storage in Azure. Candidates understand when a custom API should be developed to meet specific requirements.

This first course covers the prerequisites of planning and designing an AI solution.

Lab Highlights

Detecting Faces within Images Using the .NET SDK Creating a Cognitive Services Resource Using the Azure Portal
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  • Chapter 1 3 Lessons Introduction 9:41

    An Important Note About A Cloud Guru and Linux Academy Courses

    1:19

    Course Introduction

    6:19

    About the Training Architect

    2:03
  • Chapter 2 6 Lessons Recommend Cognitive Services APIs to meet Business Requirements 47:37

    Select the Processing Architecture for a Solution

    4:47

    Select the Appropriate Data Processing Technologies

    2:43

    Select the Appropriate AI Models and Services

    4:45

    Identify Components and Technologies Required to Connect Service Endpoints

    3:21

    Identify Automation Requirements

    2:01

    Creating a Cognitive Services Resource Using the Azure Portal

    30:00 Hands-On Lab
  • Chapter 3 4 Lessons Map Security Requirements to Tools, Technologies, and Processes 12:35

    Identify Processes and Regulations Needed to Conform with Data Privacy, Protection, and Regulatory Requirements

    2:06

    Identify which Users and Groups have Access to Information and Interfaces

    3:13

    Identify Appropriate Tools for a Solution

    3:01

    Identify Auditing Requirements

    4:15
  • Chapter 4 4 Lessons Select the Software, Services, and Storage Required to Support a Solution 57:05

    Identify Appropriate Services and Tools for a Solution

    3:29

    Identify Integration Points with other Microsoft Services

    5:02

    Identify Storage Required to Store Logging, Bot State Data, and Cognitive Services Output

    3:34

    Detecting Faces within Images Using the .NET SDK

    45:00 Hands-On Lab
  • Chapter 5 1 Lesson Where do you go from here? 0:19

    Good Work! Now on to the next Course Segment!

    0:19

What are Hands-on Labs

What's the difference between theoretical knowledge and real skills? Practical real-world experience. That's where Hands-on Labs come in! Hands-on Labs are guided, interactive experiences that help you learn and practice real-world scenarios in real cloud environments. Hands-on Labs are seamlessly integrated in courses, so you can learn by doing.

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