Which tasks will you accomplish as a Microsoft Certified Azure Artificial Intelligence Associate?

In this era of modern technologies, Designing and Implementing Artificial Intelligence Solution has become paths of success for the cloud-based businesses. It elevates a business’s productivity and resources. Microsoft Azure has gained an influential spot in the world of cloud computing. To implement and design Artificial Intelligence Solutions in businesses, the demand for Microsoft Certified: Azure AI Engineer Associate has increased. The skills of Microsoft Certified: Azure AI Engineer Associate makes sure that a business or a company avail Microsoft Artificial Intelligence more effectively. This blog answers the following questions:

• Which Technical Tasks will you accomplish as a Microsoft Certified Azure AI Engineer Associate?
• Which skills you must have as a Microsoft Certified Azure AI Engineer Associate?
• Which exam is required for a Microsoft Certified Azure AI Engineer Associate?
• Preparation of the exam AI-100 for a Microsoft Certified Azure AI Engineer Associate

Which Technical Tasks will you accomplish as a Microsoft Certified Azure AI Engineer Associate?

You will Implement and Architect Microsoft AI Solutions: If you pass AI-100 Exam and become the Microsoft Certified Azure AI Engineer Associate then it is your duty to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, by using Cognitive Services, Machine Learning, and Knowledge Mining.

Recommending Cognitive Services APIs: The AI Engineer identifies components and technologies required to connect service endpoints by selecting the processing architecture for a solution, the appropriate data processing technologies, and the appropriate AI models and services. You will also identify automation requirements as well.

Map security requirements to tools, technologies, and processes: As an Azure Artificial Intelligence Engineer, you will identify the processes and regulations needed to confirm data privacy, protection, and regulatory requirements. Identifying auditing requirements, an appropriate tool for a solution will also part of your job. Which users and groups have access to information and interfaces, you will identify them as well.

Designing Solutions that include one or more pipelines: The Azure AI engineer designs pipelines that call Azure Machine Learning models for selecting an AI solution that meets cost constraints. If you become the Azure AI Engineer you will:

• Design solutions that use Cognitive Services.
• You will design solutions that implement the Bot Framework.
• Design the compute infrastructure to support a solution.
• You will design for data governance, compliance, and security.

You will Implement and Monitor AI Solution: To accomplish this task your skills of implementing an AI workflow, integrating AI services with solution components, and monitoring the AI environment will be used. Besides this, it will be your responsibility to recommend changes to an AI solution based on performance data. As an Azure AI engineer you will implement Azure Search in a solution by configuring prerequisite components to allow connectivity with Bot Framework.

Creating Intelligent Bots with the Azure Bot Service: The accomplishment of this task will enable your customers to interact with computer applications conversationally. Your customers will use text, graphics, or speech, for the interaction. It is your task to add intelligence to the Bot by integrating QnA Maker and LUIS.

Evaluating text with Azure Cognitive Language Services: You will analyze text, determine intent, detect adult themes, and process natural language input by using Cognitive Language Services.

You will translate speech: By integrating the Cognitive Speech Services, you will convert speech to text and recognize specific speakers in your applications. As an Azure AI engineer you will recognize specific voices with the speaker recognition APIs in cognitive services of the Microsoft Azure. If you want to become a Microsoft Certified Azure AI Engineer Associate, visit JustCerts for its required exam.

Your career as an Azure AI engineer can proceed forward very smoothly if you have already understood the concepts of Azure Fundamentals. Azure fundamentals cover basics and an elementary knowledge of Azure, but this knowledge helps a lot in associate and expert level. Azure AI Engineer Associate is one of the most distinguished roles in Azure certifications. Only one exam AI-100 is required to earn its certification. This exam focuses on designing and implementing an Azure Artificial Intelligence Solution. After clearing your concepts of Azure Fundamentals, you must pass the AI-100 exam.

Skills measured in the AI-100 exam:

• Analyze solution requirements (25-30%)
• Design AI solutions (40-45%)
• Implement and monitor AI solutions (25-30%)

Does any prerequisite require passing the exam AI-100?
Only one exam is required for the certification of Microsoft Azure AI Engineer Associate. But, for your preparation, there is an optional prerequisite. Azure Fundamentals can help you not only in the exam AI-100 but in your professional career as well. It will be great if you have cleared the following concepts before the preparation of exam AI-100:

• Cloud Concepts
• Core Azure Services
• Azure Pricing, and Support
• Your concepts of Cloud Security, Privacy, Compliance, and trust must be cleared.

How to prepare the exam AI-100?

Updated exam material: The best way to pass the exam AI-100 is to prepare it from credible and authentic sources. You must prepare from updated and relevant exam material. Besides updated preparation material, you will never be able to get the certification of Azure AI Engineer. JustCerts provides you updated exam material and its bundle contains Practice Exam (Desktop Version), Questions and Answers (PDF) for the preparation of AI-100 exam. 

Course AI-100T01-A: Microsoft offers this course on its official website. This course is about designing and implementing an Azure AI solution. The main focus remains on Cloud Solution Architects, Azure artificial intelligence designers, and AI developers. This course helps to enhance your preparation in the following topics:

• Azure Cognitive Services: This course will give you an overview of Azure Cognitive Services. You will be able to create a Cognitive Service on the Azure Portal along with testing a Cognitive Service.
• Creating Bots: This course gives complete information about creating a Basic Chat Bot, and testing with the Bot Emulator.
• Enhancing Bots with QnA Maker: The Introduction of the QnA Maker will be given. You will know how to integrate Bots and QnA Maker to build up a useful knowledge base for user interactions.

Browse all products of Microsoft AI Engineer: This official website of Microsoft provides you with the step-by-step guidance of Microsoft products related to the role of artificial engineer. This will help you to start your preparation by exploring different learning paths and modules. It will give you comprehensive guidance on the following topics:

• A complete guide about Creating Intelligent Bots with the Azure Bot Service has been provided.
• Publishing a Machine Learning Experiment with Microsoft Azure Machine Learning Studio.
• Processing images with Azure Cognitive Vision Services.
• You will get information to evaluate text with Azure Cognitive Language Services.

Study Groups: The preparation of the exam can be enhanced by your participation in various online study groups and communities. Professionals from around the globe take part in online discussion communities. You would be able to get many new ideas of preparing the exam AI-100 and lots of your queries would be answered as well.

What's next?

• Make sure your success in Azure AI Engineer Certification by using AI-100 Exam Questions. 
• Check out Azure Artificial Engineer Certification exam practice questions by JustCerts, and don't forget to visit the Microsoft Azure Certification Track to see all Microsoft Azure Exams Practice Questions.