Exam Prep AI-102: Microsoft Azure AI Engineer Associate

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. Take this Designing and Implementing a Microsoft Azure AI Solution: AI-102 exam and become a part of the futuristic world of Artificial Intelligence and grow your career by attaining Azure AI-102 certification. Azure AI engineers have experience developing solutions that use languages such as Python or C# and should be able to use REST-based APIs and software development kits (SDKs) to build secure image processing, video processing, natural language processing (NLP), knowledge mining, and conversational AI solutions on Azure. They should be familiar with all methods of implementing AI solutions. Plus, they understand the components that make up the Azure AI portfolio and the available data storage options. Azure AI engineers also need to understand and be able to apply responsible AI principles. This course contains 5+ hours of training videos. Learners could find a total of 90+ lectures in the training course with comprehensive coverage of all topics regarding the exam AI-102: Designing and Implementing a Microsoft Azure AI Solution. These lectures are divided into 5 Modules and each module is further split into lessons. The entire course includes Assessments to validate knowledge checks of learners. Also, a set of Graded Questions is available at the end of every module. Module 1: Azure AI Solutions: Planning and Management Module 2: Image & Video Processing Solutions Module 3: Natural Language Processing (NLP) Solutions Module 4: Knowledge Mining Solutions Module 5: Conversational AI Solutions Enroll in Exam Prep AI-102: Microsoft Azure AI Engineer Associate Course and advance your Azure AI Solution Workload skills with Microsoft Azure. This training course helps you develop your skills and knowledge in AI-102. You can start with fundamental certifications such as the AI-900 exam. Once you gain command over all phases of AI solutions development, you are ready to start preparing for the AI-102 exam. This AI-102 course is mainly for those who need opportunities in various job roles such as Cloud Developers, Cloud Engineers, Solutions Architects, and Cloud Architects. By the end of this course, you will be able to pass the AI-102 exam on the first attempt and master Designing and Implementing a Microsoft Azure AI Solution.

• Azure AI solutions: Planning and Management
• 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.
• Computer Vision Models
• 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.
• Natural Language Processing (NLP) Solutions
• 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.
• Knowledge Mining with Document Intelligence Solutions
• 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.
• Generative AI with Content Moderation Solutions
• 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.