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AI-100: Designing and Implementing an Azure AI Solutions

Learners: 5,651

Instructor: Anand Rao Nednur

Duration:

This AI-100 course provides a comprehensive overview of Microsoft Azure services and how they can be used to design, implement, operationalize, monitor, optimize, and secure AI solutions. Learn how to use Cognitive APIs for Visual Features, Text Analytics, and the Microsoft Bot Framework to build powerful AI applications. Get hands-on experience with Python and Javascript to develop AI pipelines and integrate with Azure services. Prepare for the AI-100 certification exam and gain the skills to design and maintain AI solutions. Enroll now and start building your AI future!▼▲

Course Feature Course Overview Pros & Cons Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2021-04-04

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 17th, 2023]

This course, AI-100: Designing and Implementing an Azure AI Solutions, provides an overview of the Microsoft Azure services designed to work together to enable rapid development of high-performance AI solutions. It covers Azure Cognitive APIs for Visual Features, Text Analytics, and the Microsoft Bot Framework. It also covers the implementation of these APIs using Python and Javascript. Additionally, the course covers topics such as analyzing solution requirements, mapping security requirements to tools, technologies, and processes, selecting the software, services, and storage required to support a solution, designing AI solutions, designing for data governance, compliance, integrity, and security, implementing an AI workflow, and integrating AI services and solution components. Finally, the course covers monitoring and evaluating the AI environment. Upon completion of this course, students will be prepared to take the Microsoft AI-100 certification exam.

Pros & Cons

Pros Cons

Comprehensive coverage: Users appreciate that the course covers a wide range of topics related to Azure AI solutions, including an introduction to AI and its usage in Azure.
Concise and well-discussed content: Users find the course content to be well-explained and concise, making it easier to understand the concepts and topics.

Lack of practical labs: Some users feel that the course could benefit from more practical demonstrations and hands-on labs to reinforce the learning experience.
Limited depth of explanation: While the course provides a good overview of the exam requirements, some users feel that it lacks in-depth explanations of certain concepts. They believe that additional study materials may be required to pass the AI-100 exam.