The Microsoft Certified: Azure AI Fundamentals certification is designed for candidates who plan to set up a career of the developer, AI engineer, and data scientist. This designation is intended for checking your basic knowledge of ML and AI concepts and how to use them on Microsoft Azure. The exam can be gained by passing the AI-900 evaluation.
As this Microsoft exam is of the foundational level, it is intended for individuals with technical and non-technical skills. Though software engineering experience and data science are not required, you should be knowledgeable of the general programming.
Speaking of the exam, the AI-900 evaluation is dedicated to Microsoft Azure AI fundamentals. It will last for 45 minutes and include from 40 to 60 questions of various types. Since the exam requires no prerequisites, it is suitable for students and can be scheduled with the Certiport or Pearson VUE website. Also, you will need to pay $99 for this exam.
Regarding the exam content, it consists of 5 parts each of which is dedicated to a specific topic. The first one is devoted to describing AI workloads and considerations. Within this topic, you should demonstrate your skills to define attributes of common AI workloads, such as computer vision workloads, conversational AI workloads, forecasting workloads. In addition, your ability to define leading principles for responsible AI will be checked. Thus, you should be able to describe a variety of considerations, intended for transparency in an AI solution, reliability in an AI solution, as well as its fairness, among many.
The second topic refers to the description of the fundamental principles of machine learning on Azure. This part measures your skills to define common machine learning types, describes main concepts that refer to machine learning and capabilities of no-code machine learning. Besides, you should be able to describe tasks that deal with the common feature of engineering, model management and deployment, data ingestion and preparation.
The third topic is dedicated to the description of the features of computer vision workloads on Azure. This includes your ability to define the main types of computer vision solutions. To be more precise, your skills to define the features of object detection solutions, image classification solutions, facial detection and facial analysis solutions will be evaluated. In addition, your proficiency in defining Azure tools and services used for completing computer vision tasks will be testified. For that purpose, you should be knowledgeable of the Face service, Form Recognizer, Custom vision, Computer vision, and their capabilities.
The fourth topic aims to check your skills in describing the features of NLP workloads on Azure. In this domain, you should know how to define the features of the general NLP Workload scenarios and be able to identify Azure services & tools implemented for NLP workloads. You also should be able to define features and use cases for entity recognition, language modeling, and translation, as well as identify capabilities of the Translator Test service, Speech service, and Language Understanding service.
The fifth topic is focused on the features of conversational AI workloads on Azure. This section revolves around expertise in identifying the general use cases and Azure services for conversational AI. Here candidates must be able to define the features of webchat bots and general characteristics of conversational AI solutions. In addition, your proficiency in describing capabilities of the Azure Bot service and QnA Maker service should also be demonstrated.
Believing the figures stated on the Ziprecruiter website, your annual salary with the Microsoft Certified: Azure AI Fundamentals certification can reach the mark of $97,554 per year.