In today’s world, technology is becoming indispensable in almost all kinds of industries, such as manufacturing, finance, retail, education, automotive, and healthcare. Artificial Intelligence or AI tool has paved way for more technical advancements down the line. As per Semrush, the demand for AI in the global market can reach up to $190.61 billion by the year 2025.
However, as per the AI technocrats, we don’t have the skills or preparation required to solve machine intelligence-related issues. To cope with such issues, organisations are willing to hire individuals equipped with a Microsoft cloud certification. Enterprises all over the world have switched to cloud computing, which in turn is increasing the need for AI technologies within cloud environments.
As more organisations are migration their resources and data to a cloud, the importance of Microsoft Azure certification is growing rapidly. Individuals who want to lead their careers to greener pastures can choose to enrol in a Microsoft Azure Certifications AI-102 course.
What is an AI-102 Engineer Associate exam?
An AI-102 certification exam tests your knowledge of mining, machine learning, and cognitive services. An individual can gain the know-how to develop or lay the foundation of Microsoft AI solutions, including conversational AI, computer vision, Natural Language Processing, and speech.
An Azure certification training is designed for Azure AI engineers who want to create different stages of AI solutions- right from specifying needs, identifying potential for development, performance tuning, monitoring, and maintenance to deployment. A role of an Azure AI engineer is to develop easy-to-understand AI solutions by working in collaboration with data engineers, IoT specialists, AI developers, and data scientists to understand their objectives.
What are the tips you can follow to clear your Microsoft Azure certification exam?
1] A comprehensive study guide
To boost your preparation for the Microsoft Azure AI Engineer Associate exam, read the comprehensive study guide of an IPSpecialist. The study guide equips you with the relevant expertise required to manage, deploy, and build AI solutions that are integrated with Microsoft Bot Framework, Azure Cognitive Search, and Azure Cognitive Services.
2] Certification information
The pattern of the exam includes forty to sixty questions, and the cost of the AI 102 exam fee is USD 165. To appear in this examination, you should be fluent in one of these languages: Korean, Chinese, Japanese, or English language. You will have to score around 700 marks out of 1000 to pass the examination. The format of the AI-102 exam includes multiple-choice questions.
3] Eligibility of Azure certifications
It is a prerequisite to possess JavaScript, C#, and Python knowledge before appearing for the exam. REST and SDK-related APIS can help to develop computer vision, conversational AI solutions, as well as natural language processing on an Azure platform.
4] Microsoft Azure AI Solution Implementation and Design
An individual who is assigned tasks related to the implementation and designing of a Microsoft Azure AI solution is responsible for creating, implementing, and managing AI systems with the help of Azure Applied AI and Azure Cognitive Services.
An important task of an AI Azure engineer is collaborating with other data scientists, IoT specialists, AI developers, and data engineers to identify requirements, monitor, and tune performances. Besides, these individuals should be familiar with components that are included in the portfolio of Azure AI and data storage platforms. The individuals must have the know-how to implement ethical AI norms.
5] Prerequisites for AI-102 Microsoft certification exam
Individuals looking forward to appearing for this exam should possess in-depth knowledge of C# Python, JavaScript, and Python. It enables them to develop knowledge mining, conversational AI solutions, and computer vision. These candidates must be aware of Azure Cognitive Search, Azure Cognitive Services, and Microsoft Bot Framework. Besides, they must be able to manage, implement and design AI systems. Knowledge of the availability of data storage options and Azure AI portfolio parts is mandatory.
Conclusion
To appear for this examination, individuals should have an enhanced knowledge of the basic concepts of Microsoft Azure and fundamental knowledge of several computer networks. Additionally, an AI engineer should be able to work with Windows 10 devices. A basic understanding of AI or artificial intelligence and its uses in cognitive services, knowledge mining, and machine learning is necessary. Check out the Microsoft Azure certification cost.
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