Azure AI Workflow and Pipelines

By Dan Sasse

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

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 third course covers the path data takes through an AI design, and the regulations and governance apply to that data.

  • Chapter 1 3 Lessons Introduction 4:54

    An Important Note About A Cloud Guru and Linux Academy Courses

    1:19

    Course Introduction

    1:32

    About the Training Architect

    2:03
  • Chapter 2 7 Lessons Design for Data Governance, Compliance, Integrity, and Security 12:37

    Define How Users and Applications Authenticate to AI Services

    2:22

    Design a Content Moderation Strategy for Data Usage within an AI Solution

    3:33

    Ensure that Data Adheres to Compliance Requirements Defined by an Organization

    1:00

    Ensure Appropriate Governance for Data

    2:26

    Design Strategies to Ensure the Solution Meets Data Privacy and Industry Standard Regulations

    3:16

    Moderating Images Using the .NET SDK

    0:00 Hands-On Lab

    Moderating Text Using the .NET SDK

    0:00 Hands-On Lab
  • Chapter 3 7 Lessons Implement an AI Workflow 18:17

    Develop AI Pipelines

    2:37

    Manage the Flow of Data Through Solution Components

    3:25

    Implement Data Logging Processes

    2:27

    Define and Construct Interfaces for Custom AI Services

    2:06

    Integrate AI Models with Other Solution Components

    1:55

    Design Solution Endpoints

    1:39

    Develop Streaming Solutions

    4:08
  • Chapter 4 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.

Practice alongside courses in Cloud Playground

What is Cloud Playground? Cloud Playground lets you build skills in real-world AWS, Google Cloud, and Azure environments. Spin up risk-free Sandboxes, Servers and Terminals and follow along with courses, test a new idea or prepare for exams.

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  • $499 USD per seat per year
  • Billed Annually
  • Renews in 12 months

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