Course Course Summary Section 1 Content Section 1 Content Left Section 1 Content Right Credit Type: Exam ACE ID: MLS-0072 Organization's ID: AI-102 Organization: Microsoft Corporation Location: Worldwide through Certiport and Pearson Vue test centers (and online proctoring through VUE) Length: 2 hours Dates Offered: 6/1/2024 - 5/31/2027 11/1/2021 - 10/31/2024 11/1/2021 - 10/31/2024 Credit Recommendation & Competencies Section 2 Content Section 2 Content Left Section 2 Content Right Level Credits (SH) Subject Upper-Division Baccalaureate 3 computer science Vocational-Certificate 0 0 Credit is recommended for examinees scoring 700 or above Description Section 3 Content Section 3 Content Left Section 3 Content Right Objective: This exam measures your ability to accomplish the following technical tasks: plan and manage an Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions. Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. Their responsibilities include participating in all phases of AI solutions development- from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring. They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions. Candidates for this exam should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure. They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles. Skills Measured: The skills measured include: plan and manage an Azure cognitive Services solution (15-20%); implement Computer Vision solutions (20-25%); implement natural language processing solutions (20-25%); implement knowledge mining solutions (15-20%); and implement conversational AI solutions (15-20%). Instruction & Assessment Section 4 Content Section 4 Content Left Section 4 Content Right Supplemental Materials Section 5 Content Section 5 Content Left Section 5 Content Right Section 6 Content Section 6 Content Left Section 6 Content Right Button Content Rail Content 1 Other offerings from Microsoft Corporation APL-3002: Create an intelligent document processing solution with Azure AI Document Intelligence (MLS-0099) APL-3003: Build a natural language processing solution with Azure AI Language (MLS-0100) APL-3004: Build an Azure AI Vision solution (MLS-0101) APL-3006: Develop generative AI solutions with Azure OpenAI Service (MLS-0102) APL-3007: Train and deploy a machine learning model with Azure Machine Learning (MLS-0103) Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution (MLS-0072) Exam AI-900: Microsoft Azure AI Fundamentals (MLS-0063) Exam AZ-104: Microsoft Azure Administrator (MLS-0058) Exam AZ-104: Microsoft Azure Administrator (MLS-0058) View All Courses Page Content