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.
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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.
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.
Syllabus
Azure AI solutions: Planning and Management
Module 1
Welcome to Week 1 of the Course. In this week, we’ll explore the basic course introduction and Azure Congitive Services. We will also explore the the concepts of Azure AI services with security based selecion. By the end of the course we'll learn how to create solutions to detect anomalies and improve content.
Image & Video Processing Solutions
Module 2
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 Text Extractor and Azure Video Indexer. By the end of this course, we will be able to configure Image classification and object detection in Azure AI Services.
Natural Language Processing (NLP) Solutions
Module 3
Welcome to Week 3 of the Course. This week, we’ll explore the concepts of Analyzing text & Process Speech. We will learn the concepts of the Translate Language & Language Understanding Model. By the end of this course, we will be able to create Conversational Q&A solutions in Azure AI Services.
Knowledge Mining Solutions
Module 4
Welcome to Week 4 of the Course. This week, we’ll explore the concepts of Cognitive Search & AI Enrichment Skills. Then we learn how to perform Query an index, including syntax, sorting, filtering, and wildcards. By the end of this course, we will learn to demonstrate indexing by adding Cognitive Skills concepts.
Conversational AI Solutions
Module 5
Welcome to the final week(Week 5) of the Course. This week, we’ll explore the concepts of AI Conversation Flow and Cognitive Search Solutions. Then we will learn how to analyze the concepts of Testing and Publishing the Conversational Bot. By the end of this course, we will be able to learn how to build, test and publish a Conversational Bot in Azure AI Services.
