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
深入了解一个主题并学习基础知识。
3.4
26 条评论
中级 等级
推荐体验
推荐体验
中级
Skilled in C Python language and able to leverage REST-based APIs & SDK to build Computer Vision, NLP, Knowledge Mining & Conversational AI Solutions
2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
3.4
26 条评论
中级 等级
推荐体验
推荐体验
中级
Skilled in C Python language and able to leverage REST-based APIs & SDK to build Computer Vision, NLP, Knowledge Mining & Conversational AI Solutions
2 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
您将学到什么
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.
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
作业
16 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有5个模块
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.
涵盖的内容
31个视频3篇阅读材料4个作业1个讨论话题
31个视频• 总计150分钟
- About the Course• 4分钟
- Prerequisites for Attending this Course• 4分钟
- Introduction to Azure AI Services• 5分钟
- Introduction to Azure Machine Learning Services• 3分钟
- Python Installation• 4分钟
- Azure AI Foundry - Overview• 6分钟
- Azure AI Foundry - Demo• 6分钟
- Microsoft Copilot: Your AI companion [Overview]• 5分钟
- Microsoft 365 Copilot - Overview• 5分钟
- Azure AI Services - Overview• 6分钟
- What are Azure AI Solutions - Part 1• 5分钟
- What are Azure AI Solutions - Part 2• 6分钟
- Knowledge Mining Solution• 7分钟
- Responsible AI principles• 5分钟
- Azure Virtual Networks• 3分钟
- Demo: Protect account keys by using Azure Key Vault - Part 1• 8分钟
- Demo: Protect account keys by using Azure Key Vault - Part 2• 7分钟
- Manage account keys & Authentication• 3分钟
- Manage account keys & Authentication - Demo• 2分钟
- Manage private communications- Part 1• 10分钟
- Manage private communications - Part 2• 6分钟
- Create an Azure AI resource• 2分钟
- Create an Azure AI resource - Demo• 4分钟
- Configure diagnostic logging• 2分钟
- Configure diagnostic logging - Demo• 4分钟
- Manage costs for Azure AI services• 3分钟
- Manage costs for Azure AI services - Demo• 4分钟
- Monitor an Azure AI resource• 4分钟
- Monitor an Azure AI resource - Demo• 4分钟
- CI/CD Integration• 4分钟
- Working with Containers• 7分钟
3篇阅读材料• 总计35分钟
- Welcome to the Course• 10分钟
- Course Outline• 15分钟
- Azure AI solutions: Planning and Management - Course Overview• 10分钟
4个作业• 总计80分钟
- Azure AI solutions: Planning and Management - Assessment• 30分钟
- Azure AI Engineer Associate - Knowledge Check• 12分钟
- Azure AI services : Appropriate Selection and Security - Knowledge Check• 20分钟
- Azure AI services: Creating, Planning, and Deployment with Management & Monitoring - Knowledge Check• 18分钟
1个讨论话题• 总计10分钟
- Meet and Greet• 10分钟
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.
涵盖的内容
22个视频1篇阅读材料3个作业
22个视频• 总计106分钟
- Computer Vision• 3分钟
- Azure AI Vision - Overview• 6分钟
- Azure AI Custom Vision - Overview• 7分钟
- Azure AI Custom Vision - Demo• 5分钟
- Azure AI Vision Spatial Analysis• 5分钟
- Spatial Analysis - Overview• 6分钟
- Spatial Analysis - Demo• 5分钟
- Image Classification & Object Detection• 5分钟
- Object Detection and Image Tagging in Azure AI Vision• 10分钟
- OCR for images - Azure AI Vision• 7分钟
- OCR - Text Extraction• 4分钟
- Azure AI Video Indexer• 5分钟
- Azure Video Indexer - Demo• 5分钟
- Image Calssification & Object Detection• 3分钟
- Image Calssification & Object Detection - Demo• 5分钟
- Creating a Custom Model• 3分钟
- Training a Custom Model• 3分钟
- Creating and Training a Custom Model - Demo• 5分钟
- Model Evaluation• 4分钟
- Model Evaluation & Testing - Demo• 4分钟
- Model Exporting• 3分钟
- Model Exporting - Demo• 2分钟
1篇阅读材料• 总计10分钟
- Computer Vision Models Overview• 10分钟
3个作业• 总计70分钟
- Computer Vision Solutions - Assessment• 35分钟
- Azure AI Vision with OCR and AI - Knowledge Check• 20分钟
- Image Classification & Object Detection - Knowledge Check• 15分钟
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.
涵盖的内容
41个视频1篇阅读材料4个作业
41个视频• 总计212分钟
- Azure AI Language - Part 1• 6分钟
- Azure AI Language - Part 2• 5分钟
- Azure AI Language - Demo• 7分钟
- Analyze Text : Key Phrases• 2分钟
- Analyze Text : Entities• 4分钟
- Analyze Text : Sentiment• 2分钟
- Analyze Text : Language Detection• 3分钟
- Azure AI Speech Service: Overview• 5分钟
- Azure AI Speech Service: Demo - Part 1• 7分钟
- Azure AI Speech Service: Demo - Part 2• 4分钟
- Azure AI Speech Service [speech-to-speech & speech-to-text]• 5分钟
- Process Speech: Text-to-Speech• 4分钟
- Process Speech: Speech-to-Text• 4分钟
- Process Speech: Keyword & Intent Recognition• 3分钟
- Translate to multiple languages simultaneously• 4分钟
- What is the Personally Identifying Information (PII) detection• 5分钟
- Azure Translator Service• 6分钟
- Azure AI Translator - Overview [Speech and Custom]• 7分钟
- Translate Speech-to-speech using Azure Services• 5分钟
- Azure Speech-to-Text Translation• 3分钟
- Custom Translation Models• 3分钟
- Language Understanding Model : Create Intents and Add Utterances• 5分钟
- Language Understanding Model : Create Entities• 3分钟
- Language Understanding Model : Train, Evaluate, Deploy, and Test• 3分钟
- Language Understanding Model : Optimize a Language Understanding model• 3分钟
- Language Understanding Model : Integrate multiple language service model• 3分钟
- Language Understanding Model- Import and Export language understand• 3分钟
- Demo - Conversational Language Model: Creating Language Service Resource & Conversation Understand• 9分钟
- Demo - Conversational Language Model : Training & Deployment with Performance Analysis• 6分钟
- Demo - Conversational Language Model : Creating a Schema Definition and Training a Conversational Language Model• 8分钟
- Demo - Conversational Language Model : Testing a Conversational Language Model• 7分钟
- Creating a Question Answering Project and a Source• 5分钟
- Train and test a knowledge base • 5分钟
- Exporting Publishing a knowledge base• 6分钟
- Creating Web Chat Bot• 14分钟
- Create a multi-turn conversation• 3分钟
- Adding chit-chat to a Knowledge Base• 10分钟
- Demo - Conversational Language Understanding Project using Azure Language Studio• 6分钟
- Demo - Deploying and Testing Azure LUIS Conversational Language Understanding Project• 7分钟
- Demo - Creating a Knowledge Base : QnAMaker Tool Step-by-Step Guide• 5分钟
- Demo - Knowledge Base Creation and Deployment with QnAMaker• 4分钟
1篇阅读材料• 总计10分钟
- Natural Language Processing (NLP) Solutions Overview• 10分钟
4个作业• 总计85分钟
- Natural Language Processing (NLP) Solutions - Assessment• 35分钟
- Analyze text & Process Speech - Knowledge Check• 15分钟
- Translate Language & Language Understanding Model - Knowledge Check• 20分钟
- Creating Q&A Solutions - Knowledge Check• 15分钟
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.
涵盖的内容
10个视频1篇阅读材料2个作业
10个视频• 总计73分钟
- Azure AI Search - Overview• 9分钟
- Azure AI Document Intelligence Overview• 11分钟
- Azure AI Search - Custom skill interface• 6分钟
- Demo: Azure AI Search Skillset Concepts • 9分钟
- Azure AI Document Intelligence with Pre Built Models - Demo• 7分钟
- Azure AI Document Intelligence - Custom Model• 6分钟
- Demo: Build an Azure AI Document Intelligence custom skill for Azure AI Search - Part 1• 5分钟
- Demo: Build an Azure AI Document Intelligence custom skill for Azure AI Search - Part 2• 5分钟
- Query an index, including syntax, sorting, filtering, and wildcards - Demo• 7分钟
- Define projections in a knowledge store - Demo• 8分钟
1篇阅读材料• 总计10分钟
- Knowledge Mining with Document Intelligence Solutions Overview• 10分钟
2个作业• 总计45分钟
- Knowledge Mining with Document Intelligence Solutions - Assessment Questions• 30分钟
- Azure AI Search with Document Intelligence - Knowledge Check• 15分钟
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.
涵盖的内容
20个视频2篇阅读材料3个作业
20个视频• 总计130分钟
- Generative AI Solutions - Overview• 9分钟
- Azure OpenAI - Overview and Service Models Part 1• 8分钟
- Azure OpenAI - Overview and Service Models Part 2• 8分钟
- Azure OpenAI Service - Natural Language Solutions • 10分钟
- Azure OpenAI - Prompt engineering techniques• 9分钟
- Azure OpenAI Service REST API• 7分钟
- Decision Support Solutions - Overview• 10分钟
- Azure AI Content Safety - Overview• 7分钟
- Azure AI Content Safety - Demo• 7分钟
- Generate and improve code with Azure OpenAI Service - Part 1• 6分钟
- Generate and improve code with Azure OpenAI Service - Part 2• 6分钟
- Generate images with Azure OpenAI Service• 6分钟
- Azure OpenAI Service powers the Microsoft Copilot ecosystem• 7分钟
- Use large multimodal models in Azure OpenAI• 5分钟
- Configure parameters to control generative behavior• 5分钟
- Summary of AI-102• 5分钟
- How to Prepare for the Exam• 3分钟
- Key Takeaways• 1分钟
- Fine-tune an Azure OpenAI model• 7分钟
- Submit prompts to generate code• 3分钟
2篇阅读材料• 总计20分钟
- Generative AI with Content Moderation Solutions Overview• 10分钟
- Course Conclusion• 10分钟
3个作业• 总计95分钟
- Generative AI with Content Moderation Solutions - Assessment• 25分钟
- Overall Assessment• 50分钟
- Generative AI & Azure OpenAI with Content Safety Services• 20分钟
位教师
提供方
提供方
Whizlabs
Providing certification training since the year 2000, Whizlabs is the pioneer among online training providers across the globe. We are dedicated to helping you learn the skills you need to transform your career in the IT industry. We provide certification training in the form of Video Courses, Practice Tests, Hands-on Labs and Sandbox in various disciplines such as Cloud Computing, DevOps, Cyber Security, Java, Big Data, Snowflake, CompTIA, Agile, Linux, CCNA, Blockchain, and much more.
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