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This course is part of Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization
Instructor: Microsoft
11,201 already enrolled
Included with
(115 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.
(115 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 refresh and test your knowledge of the skills mapped to all the main topics covered in the AI-900 exam
How to demonstrate proficiency in the skills measured in Exam AI-900: Microsoft Azure AI Fundamentals
How to outline the key points covered in the Microsoft Azure AI Fundamentals Specialization
How to describe best practices for preparing for the Exam AI-900: Microsoft Azure AI Fundamentals
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Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses. In this course, you will prepare to take the AI-900 Microsoft Azure AI Fundamentals certification exam.
You will refresh your knowledge of fundamental principles of machine learning on Microsoft Azure. You will go back over the main consideration of AI workloads and the features of computer vision, Natural Language Processing (NLP), and conversational AI workloads on Azure. In short, you will recap all the core concepts and skills that are measured by the exam. You will test your knowledge in a series of practice exams mapped to all the main topics covered in the AI-900 exam, ensuring you’re well prepared for certification success. You will prepare to pass the certification exam by taking practice tests with similar formats and content. You will also get a more detailed overview of the Microsoft certification program and where you can go next in your career. You’ll also get tips and tricks, testing strategies, useful resources, and information on how to sign up for the AI-900 proctored exam. By the end of this course, you will be ready to sign-up for and take the AZ-900 exam. 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 concepts of machine learning and artificial intelligence.
In this module, you’ll also have access to resources that will help you to prepare for the proctored exam, enhance your study techniques, and help develop successful exam strategies. You will have an opportunity to explore some other Microsoft certifications paths that can help to advance your career.
6 videos10 readings2 discussion prompts
In this module, you will have an opportunity to recap some of the key points from Courses 1 & 2 of the Microsoft AI-900 AI Fundamentals Specialization and take a practice exam that covers the related skills measured in the AI-900 certification exam.
4 videos2 assignments
In this module, you will have an opportunity to recap some of the key points from Courses 3 & 4 of the Microsoft AI-900 AI Fundamentals Specialization and take a practice exam that covers the related skills measured in the AI-900 certification exam.
4 videos2 assignments
In this module, you will take a practice exam that covers the skills measured in the Exam AI-900: Microsoft Azure AI Fundamentals.
3 videos5 readings1 assignment1 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 Sep 12, 2021
the lecturer is detailed and good at explaining technical terms into simple ones
Reviewed on Oct 28, 2024
Useful revision.
Like other Microsoft courses I have done on Coursera, the exam question marking scheme has errors, and could do with some quality assurance attention.
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This course is ideal for candidates preparing to take the AI-900 Microsoft Azure AI Fundamentals certification exam.
You will refresh your knowledge of fundamental principles of machine learning on Microsoft Azure. You will go back over the main consideration of AI workloads and the features of computer vision, Natural Language Processing (NLP), and conversational AI workloads on Azure. In short, you will recap all the core concepts and skills that are measured by the exam. You will test your knowledge in a series of practice exams mapped to all the main topics covered in the AI-900 exam, ensuring you’re well prepared for certification success.
You should expect to spend at least an hour every week for four weeks to complete all aspects of this course.
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.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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