Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution

Requirements / Skills Required for taking the AI-102 exam

Candidates who are appearing for this AI 102 exam should have the below skills:

• Plan and manage an Azure AI solutions
• Implement content moderation solutions
• Implement computer vision solutions
• Implement natural language processing solutions
• Implement knowledge mining and document intelligence solutions
• Implement generative AI solutions

What you'll learn in the AI-102 Designing and Implementing a Microsoft Azure AI Solution certification exam?

The AI-102: Designing and Implementing a Microsoft Azure AI Solution exam covers the following domains and it is significant to get familiar with the below concepts to pass the exam:

• Plan and manage an Azure AI solution (15–20%):  In this domain, you can get overview of the following topics such as selection of appropriate Azure AI service , configuration of security for Azure AI services, Creation and management of Azure AI service, deployment of Azure AI services and Creation of solutions to detect anomalies and improvise the content.
• Implement content moderation solutions [10-15%]: In this part, you will get the information on how to analyze the images and extract text from images,  image moderation and object detection by using Azure AI Content Safety.
• Implement computer vision solutions (15–20%): It might cover up the topics such as analyzing text, processing speech, translating language, building and managing a language understanding model.
• Implement natural language processing solutions (30–35%) : You can be familiar with the key concepts such as Implement a Cognitive Search solution and application of AI enrichment skills to an indexer pipeline.
• Implement generative AI solutions (10–15%) : You might get into the topics in this domain such as design and implement conversation flow and building a conversational bot
• Implement knowledge mining and document intelligence solutions (10–15%) : You can be familiar with concepts such as, Implementing an Azure Cognitive Search solution & Implementing an Azure AI Document Intelligence solution 

How do I prepare for the AI-102 exam?

• Step-1: Start learning the exam objectives of AI-102 certification clearly and find out the skills which you need to learn. You can also take up a study guide on the AI-102 certification exam.
• Step-2: Try attending free questions available for the AI-102 exam. Once you are very familiar with the exam objectives, it’s time to try out the practice tests which have unique questions on the AI-102 exam.
• Step-3: Even Microsoft recommends trying out AI-102 practice tests. Have a relook at practice tests again and when you are confident enough, try the actual exams without any fear.

Prerequisites for Microsoft Certified Azure AI Engineer Associate Exam

1. Programming experience: The ability to use REST-based APIs and SDK to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure requires proficiency in programming languages like Python, C#, or JavaScript.

2. Knowledge of Azure services, such as Azure Machine Learning, Azure AI Services, and Framework. Hands-on labs of these services are crucial.

3. A thorough understanding of machine learning and artificial intelligence principles, including the ability to design, implement, and manage AI solutions.

4. You should also be aware of the Azure AI portfolio's components and the various data storage solutions. Furthermore, applicants must be familiar with and capable of implementing sound principles of responsible artificial intelligence.

5. Finally, you'll collaborate with solution architects to articulate their vision and with data scientists, data engineers, IoT experts, and AI developers to construct entire end-to-end AI solutions.

Target audience for the AI-102 Exam

• Azure AI Engineers: Professionals who design, implement, manage, and maintain AI solutions using Azure Cognitive Services and other Microsoft technologies.

• Solution Architects: Individuals involved in planning and translating AI solution requirements.

• Data Scientists and Data Engineers: Those who work on developing and deploying AI models and managing data pipelines.

• IoT Specialists: Experts who integrate AI solutions with Internet of Things (IoT) devices and platforms.

• Software Developers: Developers who build applications leveraging AI capabilities.

• Infrastructure Administrators: IT professionals responsible for managing and maintaining the infrastructure that supports AI solutions.
  
  

Why Consider the Microsoft Azure Administrator AZ-104 Exam?

Here are some specific reasons to consider taking this exam:

• Career Advancement [Increased Job Opportunities]

• Hands-On Experience [Demonstrated Expertise in Azure Administration]

• Recognition and Credibility [In-Demand Cloud Skills]

• Comprehensive Skills Azure Knowledge [Flexibility and Adaptability]

• Career Advancement [Future Opportunities]

Benefits of the Azure AI Engineer Associate AI-102 Exam

1. Professional Recognition: Obtaining this certification can improve your reputation in the workplace by proving that you are an expert in developing and deploying AI solutions with Microsoft Azure.

2. In the fields of artificial intelligence and cloud computing, this certification can lead to new career opportunities and positions with more responsibility.

3. Verifies your ability to manage AI workloads, integrate Azure Cognitive Services, and develop end-to-end AI solutions.