Microsoft has always offered the best solutions to help people achieve their goals in a variety sectors. Microsoft’s services are becoming even more advanced with the addition of future technologies like artificial intelligence (AI). These areas are beneficial to many top businesses and organizations because they reduce effort, expense, and resource consumption. Microsoft offers a variety of AI certifications to help people learn more about these topics, and advance their careers as associate Azure AI engineers. This certification can be used to gain AI knowledge and skills to help you start your career.
However, it is not enough to know about the role and be certified. It is quite another to achieve that role. This blog will discuss the best resources and methods to help you get the Azure AI Engineer role.
Moving on to the role as Azure AI Engineer.
Who are the Azure AI Engineers?
Azure AI Engineers work with solution architects to communicate and build complete end-to-end AI solutions. They also collaborate with data scientists, IoT specialists and AI developers. An AI Engineer’s primary responsibility is to analyze AI requirements and develop AI solutions. AI engineers also make recommendations for the best technologies and tools to solve problems. The AI engineer is responsible for implementing solutions that meet performance requirements and scaleability requirements.
Let’s talk about the salary.
The average annual income of an Indian entry-level AI engineer is approximately 8 lakhs. This is much more than the average salary for any other engineering graduate. An AI engineer at the highest rank might earn as much as 50 lakhs.
Although statistics may vary, one thing is certain: the average annual salary of an AI engineer is well over $100,000. Source data shows that the average national wage in America is $114,121. It can range from $78,000 to $150,000.
How to become an Azure AI Engineer at Microsoft
The most important aspect of this journey is the ability to understand the concepts and develop your abilities. Don’t be alarmed. We will show you how to become an AzureAI Engineer, both for beginners and professionals. The most important thing is to have the right skills and expertise.
1. Microsoft Certified
To be certified is the best way to learn these skills. This will enhance your market value and knowledge. Based on your skills and knowledge, the following section will provide information about Microsoft certifications for the role of AzureAI Engineer.
Designing and Implementing a Microsoft Azure AI Solution – AI-102 Exam
To become a Microsoft Certified Azure AI Engineer you must pass the AI-102 exam. This exam validates candidates’ abilities to create, control, and deploy AI solutions that leverage Azure Cognitive Services and Azure Cognitive Search. An Azure AI engineer associate is responsible to participate in all phases of AI solution development, including deployment, maintenance, tuning, and monitoring.
They also work with solution architects to convert their vision, as well as data scientists, IoT specialists and AI developers to create complete end-to-end AI systems.
Knowledge requirement for the exam
To pass this exam, you will need to learn C# or Python.
You must also be able create computer vision, natural-language processing, and conversational Ai applications on Azure using REST APIs and SDKs.
It is crucial to understand the components of the Azure AI portfolio and the data storage options available. Candidates must also be able to comprehend and use the Azure AI portfolio.