What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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This course is part of Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization
Instructor: Microsoft
9,099 already enrolled
Included with
(98 reviews)
Recommended experience
Beginner level
General programming knowledge or experience would be beneficial. You need to have basic computer literacy and proficiency in the English language.
(98 reviews)
Recommended experience
Beginner level
General programming knowledge or experience would be beneficial. You need to have basic computer literacy and proficiency in the English language.
How to describe features of Natural Language Processing (NLP) workloads on Azure
How to identify features of common NLP Workload Scenarios
How to identify Azure tools and services for NLP workloads
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Natural language processing supports applications that can see, hear, speak with, and understand users. Using text analytics, translation, and language understanding services, Microsoft Azure makes it easy to build applications that support natural language.
In this course, you will learn how to use the Text Analytics service for advanced natural language processing of raw text for sentiment analysis, key phrase extraction, named entity recognition, and language detection. You will learn how to recognize and synthesize speech by using Azure Cognitive Services. You will gain an understanding of how automated translation capabilities in an AI solution enable closer collaboration by removing language barriers. You will be introduced to the Language Understanding service, and shown how to create applications that understand language. This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. This is the fourth course in a five-course program that prepares you to take the AI-900 certification exam. This course teaches you the core concepts and skills that are assessed in the AI fundamentals exam domains. This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. Microsoft Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but it is not a prerequisite for any of them. This course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including machine learning and artificial intelligence concepts.
In this module, you will learn how to use the Text Analytics service for advanced natural language processing over raw text for sentiment analysis, key phrase extraction, named entity recognition, and language detection. You will also learn how to recognize and synthesize speech by using Azure Cognitive Services.
6 videos6 readings5 assignments1 discussion prompt
In this module, we'll introduce you to the Language Understanding service, and show how to create applications that understand language.
5 videos3 readings5 assignments
In this module, you will learn how to use Conversational AI ito create artificial intelligence workloads that deals with dialogs between AI agents and human users.
3 videos2 readings3 assignments1 discussion prompt
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Our goal at Microsoft is to empower every individual and organization on the planet to achieve more. In this next revolution of digital transformation, growth is being driven by technology. Our integrated cloud approach creates an unmatched platform for digital transformation. We address the real-world needs of customers by seamlessly integrating Microsoft 365, Dynamics 365, LinkedIn, GitHub, Microsoft Power Platform, and Azure to unlock business value for every organization—from large enterprises to family-run businesses. The backbone and foundation of this is Azure.
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Reviewed on Jun 26, 2024
A good course gives you some hands-on and also has videos. The course uses MS Learn for some of its information and practice lessons.
Reviewed on Jul 6, 2021
I enjoyed Further learning about Artificial Intelligence
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You should expect to spend between an hour and two hours every week for three weeks studying to complete all aspects of this course.
This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. Microsoft Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but it is not a prerequisite for any of them.
In this course, you will learn how to use the Text Analytics service for advanced natural language processing of raw text for sentiment analysis, key phrase extraction, named entity recognition, and language detection. You will learn how to recognize and synthesize speech by using Azure Cognitive Services. You will gain an understanding of how automated translation capabilities in an AI solution enable closer collaboration by removing language barriers. You will be introduced to the Language Understanding service, and shown how to create applications that understand language.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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