Prepare for Microsoft AI 102 Certification

Prepare for Microsoft AI 102 Certification

Table of Contents

  1. Introduction
  2. Overview of the AI 102 Exam
  3. Ideal Candidates for the AI 102 Exam
  4. Language Requirement for the Exam
  5. Exam Updates and Renewal
  6. Exam Details
    • Exam Availability and Pricing
    • Booking the Exam
  7. Skills Measured in the Exam
    • Azure Cognitive Services
    • Setting up Cognitive Services Account
    • Running Cognitive Services Locally
    • Computer Vision API
    • Custom Vision Service
    • Video Analyzer Service
    • Language Service
    • Translation Service
    • Language Understanding Service
    • Question Answering Service
    • Knowledge Mining and Cognitive Search
    • Knowledge Store
    • Conversational AI
    • Bot Framework SDK
    • Integrating Vision and Speech Services into a Bot
  8. Practice and Hands-On Examples
  9. Conclusion
  10. Frequently Asked Questions

AI 102 Exam: Designing and Implementing a Microsoft AI Solution

The AI 102 exam, known as "Designing and Implementing a Microsoft AI Solution," is a hands-on certification that focuses on testing your ability to use the cognitive services APIs. In this article, we will provide a comprehensive overview of the requirements for the AI 102 exam and guide you through the essential skills you need to succeed.

Introduction

To start, let's dive into what the AI 102 exam entails. This exam is designed for individuals who build, manage, and deploy AI solutions using Azure's cognitive services and applied AI services. Whether You are a social architect, data scientist, data engineer, or IoT specialist, this certification is perfect for those looking to translate their vision into practical AI solutions.

Overview of the AI 102 Exam

The AI 102 exam aims to test your knowledge and proficiency in using Azure's cognitive services APIs. These APIs are REST-Based and can be called using either C# or Python. While proficiency in these languages is essential, the exam also covers other aspects of the cognitive services and applied AI services.

Ideal Candidates for the AI 102 Exam

The ideal candidates for the AI 102 exam are individuals who work collaboratively with social architects. They excel in working with data scientists, data engineers, and IoT specialists to build effective AI models and deploy AI services into various solutions.

Language Requirement for the Exam

The AI 102 exam requires proficiency in either C# or Python to call the cognitive services APIs. Although there is support for other languages, the exam primarily focuses on these two languages. It is essential to have a solid understanding of programming to effectively navigate the exam.

Exam Updates and Renewal

It is crucial to stay up-to-date with any updates or changes to the AI 102 exam. Microsoft periodically updates exam requirements and study guides, so make sure to check the official landing page for the latest information before taking the exam. Additionally, Microsoft has made the certification renewal process more convenient by offering an online renewal that can be completed at your own pace within six months.

Exam Details

Exam Availability and Pricing

The AI 102 exam is available in multiple languages and costs $165 USD. However, the exam price may vary based on the local economy of your country. It can be scheduled at a testing center near you or taken from the comfort of your own home.

Booking the Exam

To book the AI 102 exam, visit the official Microsoft Learn Website and navigate to the scheduled exam section. From there, you can choose a testing center near you or opt for the online exam option.

Skills Measured in the Exam

The AI 102 exam covers a wide range of skills, which are divided into five main categories: Azure cognitive services, setting up cognitive services account, running cognitive services locally, computer vision API, and custom vision service. Let's take a closer look at each of these skills:

Azure Cognitive Services

This section provides an overview of the various categories of services within Azure cognitive services. It covers understanding the different services available and knowing which service to use based on your requirements. Additionally, you will learn how to set up a basic cognitive services account and work with account keys.

Setting up Cognitive Services Account

In this section, you will learn how to Create a cognitive services resource. It is crucial to have hands-on practice with setting up an Azure account and creating a cognitive services resource.

Running Cognitive Services Locally

While most cognitive services run in the cloud, this section covers running cognitive services on your local environment, including within Azure on containers. Running services locally can be cost-effective and ensures the privacy of sensitive data.

Computer Vision API

The computer vision API allows you to recognize brands, content, thumbnails, and faces in images. It also covers concepts such as extracting text from images and detecting faces. Please note that the recognition of celebrity faces is currently restricted.

Custom Vision Service

The custom vision service enables you to train the computer vision model using your own data. You will learn how to classify and tag images with appropriate labels, allowing you to create a customized model for future use.

Video Analyzer Service

The video analyzer service is similar to the computer vision service but specifically designed for videos. It allows you to analyze videos for various purposes, such as recognizing objects or faces within the video.

Language Service

Previously known as the Text Analytics service, the language service focuses on processing text data. This includes processing text for sentiment analysis, extracting key phrases, and translating text from one language to another. Microsoft's language service has advanced in recent years, offering Context-aware translations and understanding slang words.

Translation Service

The translation service is an integral part of Azure cognitive services. It allows you to translate text between different languages. This service has evolved to understand not only literal translations but also context and intent.

Language Understanding Service

Formerly known as Lewis service, the language understanding service enables you to build your own language comprehension model. With this service, you can create a model that understands intents, entities, and handles complex conversations.

Question Answering Service

Previously known as QnA Maker, the question answering service helps build chatbots that provide answers based on pre-existing content. You can build a chatbot that interacts with users and extracts information from a knowledge base.

Knowledge Mining and Cognitive Search

This section covers advanced topics such as knowledge store, object projections, table projections, indexing, re-indexing, and scheduling. These concepts are crucial for knowledge mining systems and cognitive search.

Conversational AI

Conversational AI focuses on building chatbots with complex conversational flows. This includes handling multiple branches, intents, and capturing user inputs. Microsoft offers the Bot Framework SDK and the Bot Framework Composer to simplify the development of chatbots.

Integrating Vision and Speech Services into a Bot

This section explores how to integrate vision services, speech services, and other AI services into a chatbot. By combining these services, you can create a bot that understands user speech and responds accordingly.

Practice and Hands-On Examples

To excel in the AI 102 exam, practice and hands-on experience are vital. Throughout this course, you will have the opportunity to work on real-life examples, utilizing GitHub resources. By engaging in practical exercises and building your own AI solutions, you will gain a deeper understanding of the exam topics and increase your chances of success.

Conclusion

The AI 102 exam is designed to test your proficiency in designing and implementing Microsoft AI solutions. With comprehensive knowledge of cognitive services and applied AI services, you will be well-prepared to build, manage, and deploy AI solutions using Azure. Remember to practice extensively and stay updated with any exam modifications for a successful certification.

Frequently Asked Questions

Q: Can I take the AI 102 exam in my native language?\ A: Yes, the AI 102 exam is available in multiple languages, and the price may vary based on the local economy of your country.

Q: Is there a specific programming language requirement for the exam?\ A: Yes, the AI 102 exam requires proficiency in either C# or Python. While other languages are supported, the exam primarily focuses on these two languages.

Q: How can I prepare for the AI 102 exam?\ A: To prepare for the AI 102 exam, it is essential to study and practice the various skills measured in the exam. Microsoft Learn provides valuable resources and hands-on examples that can guide your preparation.

Q: Is the AI 102 exam updated regularly?\ A: Yes, Microsoft periodically updates the AI 102 exam to align with the latest technologies and industry standards. It is crucial to check the official landing page for any updates or revisions before taking the exam.

Q: How can I book the AI 102 exam?\ A: To book the AI 102 exam, visit the official Microsoft Learn website and navigate to the scheduled exam section. From there, you can choose a testing center near you or opt for the online exam option.

Q: Can I renew my AI 102 certification?\ A: Yes, Microsoft offers online certification renewal that can be completed within six months. Renewal is a hassle-free process that ensures you remain up-to-date with the latest AI technologies.

Q: Are there any prerequisites for the AI 102 exam?\ A: There are no specific prerequisites for the AI 102 exam. However, having a basic understanding of AI concepts and experience working with Azure services will be beneficial.

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