The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services. In addition, the exam also tests the candidate's ability to implement this knowledge by participating in all phases of AI solutions development—from defining requirements, and design to development, deployment, integration, maintenance, performance tuning, and monitoring.
Exam Prep AI-102: Microsoft Azure AI Engineer Associate
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Exam Prep AI-102: Microsoft Azure AI Engineer Associate
Instructor: Whizlabs Instructor
3,840 already enrolled
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Gain insight into a topic and learn the fundamentals.
3.5
(16 reviews)
Intermediate level
Recommended experience
17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Explore and make use of AI conversational assistants.
Design and implement Computer Vision Solutions.
Develop Natural Language Processing Applications.
Design and Implement Knowledge Mining Solutions.
Skills you'll gain
Details to know
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Assessments
17 assignments
Taught in English
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There are 5 modules in this course
Welcome to Week 1 of the Course. This week, we’ll explore the Concepts of Course Overview, Prerequisites, and Azure AI Solutions Introduction. We will also explore the concepts of Azure AI services with security-based selection. By the end of the course, we'll learn how to configure and manage the logging and cost of Azure AI Services and explore the concepts of Monitoring Azure AI Services.
What's included
27 videos3 readings4 assignments1 discussion prompt
Welcome to Week 2 of the Course. This week, we’ll explore the concepts of Image processing requirements, responses, and features. We learn the concepts of extracting text with Computer Vision Models. By the end of this course, we will be able to configure Image classification and object detection and concepts of Azure AI Vision with OCR and AI.
What's included
21 videos1 reading3 assignments
Welcome to Week 3 of the Course. This week, we’ll explore the concepts of Analyzing text using Azure AI Language and configuring the Process speech using Azure AI Speech. We will learn the concepts of the Translate language with Translator Services. By the end of this course, we will be able to Explore how to Implement and manage a language understanding model by using Azure AI Language and Analyze the concepts of question answering solutions by using Azure AI Language.
What's included
37 videos1 reading4 assignments
Welcome to Week 4 of the Course. This week, we’ll explore the concepts of Implementing Azure AI Search Solutions. Then we learn how to Explore the concepts of Document Intelligence. By the end of this course, we will learn to demonstrate the concepts of Azure AI Document Intelligence with pre-built Models and Explore the concepts of how to implement Build an Azure AI Document Intelligence custom skill for Azure AI Search.
What's included
7 videos1 reading2 assignments
Welcome to the Week 5 (Final Week) of the Course. This week, we’ll explore the concepts of Generative AI, Azure Open AI, and Content Safety Services. Then we will learn how to analyze the concepts of Azure OpenAI Service to generate content. By the end of this course, we will be able to learn how to Analyze the concepts of how to Implement and Optimize Generative AI, and how to create and implement solutions for content delivery.
What's included
15 videos2 readings4 assignments
Instructor
Offered by
Recommended if you're interested in Cloud Computing
Scrimba
University of Colorado Boulder
Coursera Project Network
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Frequently asked questions
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