АИ-900: Microsoft Azure AI Fundamentals Video Course + Кес

купить сейчас

Цена: $24.99

Should you take AI-900 Exam?

Artificial intelligence and machine learning are all set to dictate the future of technology. The focus of Microsoft Azure on machine-learning innovation is one of the prominent reasons for the rising popularity of Azure AI. Следовательно, many aspiring candidates are looking for credible approaches for the AI-900 exam preparation that is a viable instrument for candidates to start their careers in Azure AI.

The interesting fact about the AI-900 certification is that it is a fundamental-level certification exam. Следовательно, candidates from technical as well as ones with non-technical backgrounds can pursue the AI-900 certification exam. К тому же, there is no requirement for software engineering or data science experience for the AI-900 certification exam.

The AI-900 certification can also help you build the foundation for Azure AI Engineer Associate or Azure Data Scientist Associate certifications.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

What includes in this course?

• 8+ часы. of content, Практический тест, викторины, так далее.

• РРТ, Demo resources, and other study material

• Полный пожизненный доступ

• Сертификат о прохождении курса

• 30-days Money-Back Guarantee

• This course has more than enough practice questions to get you to prepare for the exam.

• Even though there are no labs in the exam, I have practically demonstrated concepts wherever possible to make sure you feel confident with concepts.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Exam Format and Information

Название экзамена Exam AI-900: Основы Microsoft Azure AI

Продолжительность экзамена 60 Минуты

Тип экзамена Экзамен с множественным выбором

Количество вопросов 40 – 60 Вопросов

Плата за экзамен $99

Право на участие/предварительные условия Никто

Срок действия экзамена 1 год

Экзаменационные языки английский, Японский, Корейский, и упрощенный китайский

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

The AI-900 exam covers the following topics:

• Описывать рабочие нагрузки ИИ и соображения (15-20%)

• Описать фундаментальные принципы машинного обучения в Azure. (30-35%)

• Описывать особенности рабочих нагрузок компьютерного зрения в Azure. (15-20%)

• Описывать особенности обработки естественного языка (НЛП) рабочие нагрузки в Azure (15-20%)

• Описывать особенности диалоговых рабочих нагрузок ИИ в Azure. (15-20%)

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Exam Topics in detail

Домен 1: Describing AI workloads and considerations

The subtopics in this domain include,

• Identification of features in common AI workloads

• Identification of guiding principles for responsible AI

Домен 2: Describing fundamental principles of machine learning on Azure

The subtopics in this domain include,

• Identification of common machine learning variants

• Description of core machine learning concepts

• Identification of core risks in the creation of a machine learning solution

• Description of capabilities of no-code machine learning with Azure Machine Learning

Домен 3: Description of features in computer vision workloads on Azure

The subtopics in this domain include,

• Identification of common types of computer vision solutions

• Identification of Azure tools and services for computer vision tasks

Домен 4: Describing features of Natural Language Processing (НЛП) рабочие нагрузки в Azure

The subtopics in this domain are as follows,

• Identification of features in common NLP workload scenarios

• Identifying Azure tools and services for NLP workloads

Домен 5: Description of features of conversational AI workloads on Azure

The subtopics in this domain include,

• Identification of common use cases for conversational AI

• Identifying Azure services for conversational AI

Счастливого обучения!!

Eshant Garg