Artificial Intelligence on Microsoft Azure
This course provides an introduction to Artificial Intelligence (AI) and Microsoft Azure, enabling learners to build AI solutions and experiences on the Azure platform. With the help of this course, learners can create solutions that make a positive impact on the world, from healthcare to environmental protection. ▼
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Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
22nd May, 2023
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
Whether you're just beginning to work with Artificial Intelligence (AI) or you already have AI experience and are new to Microsoft Azure, this course provides you with everything you need to get started. Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use services to help you build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.
In this course, you will learn the key AI concepts of machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. You'll see some of the ways that AI can be used and explore the principles of responsible AI that can help you understand some of the challenges facing developers as they try to create ethical AI solutions.
This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. This is the first 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 concepts of machine learning and artificial intelligence.
(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
What skills and knowledge will you acquire during this course?
This course on Artificial Intelligence on Microsoft Azure will provide learners with the skills and knowledge to understand key AI concepts such as machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. Learners will also gain an understanding of the principles of responsible AI and the challenges of creating ethical AI solutions. Additionally, learners will be prepared to take the AI-900 certification exam and gain the skills necessary to pass the exam. Finally, learners will gain an understanding of the Microsoft Azure services and how to use them to build AI solutions.
How does this course contribute to professional growth?
This course contributes to professional growth by providing learners with the knowledge and skills necessary to develop and deploy AI solutions on Microsoft Azure. Learners will gain an understanding of the core concepts of AI, such as machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. They will also explore the principles of responsible AI and understand the challenges of creating ethical AI solutions. Additionally, learners will be prepared to take the AI-900 certification exam and gain the skills necessary to pass the exam. Finally, learners will gain an understanding of the Microsoft Azure services and how to use them to build AI solutions.
Is this course suitable for preparing further education?
This course appears to be suitable for preparing further education, as it covers key AI concepts, responsible AI, exam preparation, and Azure services. Learners will gain an understanding of the core concepts of AI, as well as the principles of responsible AI and the Microsoft Azure services. Additionally, learners will be prepared to take the AI-900 certification exam and gain the skills necessary to pass the exam.
Pros & Cons
Good introduction to Responsible AI development.
Lots of real world examples.
Strong focus on Microsofts principles for responsible AI.
Not suitable for learning A.I.
Not enough content for other courses.
Not suitable for AI 900 Exam preparation.
Course Provider
Provider Coursera's Stats at AZClass
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