Generative AI & the Azure Bot AI Service
Generative AI
| Intermediate
- 14 videos | 1h 16m 8s
- Includes Assessment
- Earns a Badge
The chatbot is a popular example of how generative artificial intelligence (AI) is being used today, in all industries and environments. In this course, you will learn about the Azure Bot service and its features, including how generative AI can be leveraged to build intelligent and interactive chatbot applications. You will begin with an introduction to Azure Bot service, generative models and bots, and a high-level discussion of how to build a basic bot. Then you will explore ethical issues surrounding AI-driven bots, find out how to get started with bot creation in Copilot Studio, and learn how to train and deploy models for conversational language understanding (CLU) projects. Next, you will discover Azure Cognitive Services and scaling, and monitoring and troubleshooting bot performance. Finally, you will examine data security, usage auditing, and cost tracking.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseProvide an overview of azure bot service and how it is usedIdentify the different types of generative artificial intelligence (ai) models that can be used for botsOutline ethical considerations surrounding the use of generative ai-driven botsProvide an overview of azure scaling features and azure cognitive servicesOutline how to monitor the azure bot serviceDescribe data security considerations when using azure bot services
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Monitor azure ai bot service costsBuild a basic azure openai-powered bot using the low-code approach provided by microsoft copilot studio (formerly power virtual agents)Train, deploy, and test an ai model for conversational language understanding (clu) projects in language studioIntegrate an azure ai language resource with an azure ai search resource in language studioDeploy an azure ai language resource to an azure ai bot resource to create a custom question answering chatbotMonitor the azure bot service and troubleshoot azure botsSummarize the key concepts covered in this course
IN THIS COURSE
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56sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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4m 51sAfter completing this video, you will be able to provide an overview of Azure Bot service and how it is used. FREE ACCESS
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8m 25sUpon completion of this video, you will be able to identify the different types of generative artificial intelligence (AI) models that can be used for bots. FREE ACCESS
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7m 12sAfter completing this video, you will be able to outline ethical considerations surrounding the use of generative AI-driven bots. FREE ACCESS
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6m 7sUpon completion of this video, you will be able to provide an overview of Azure Scaling features and Azure Cognitive services. FREE ACCESS
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4m 42sAfter completing this video, you will be able to outline how to monitor the Azure Bot service. FREE ACCESS
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4m 59sUpon completion of this video, you will be able to describe data security considerations when using Azure Bot services. FREE ACCESS
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4m 42sAfter completing this video, you will be able to monitor Azure AI Bot service costs. FREE ACCESS
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7m 41sDuring this video, you will learn how to build a basic Azure OpenAI-powered bot using the low-code approach provided by Microsoft Copilot Studio (formerly Power Virtual Agents). FREE ACCESS
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8m 10sIn this video, discover how to train, deploy, and test an AI model for conversational language understanding (CLU) projects in Language Studio. FREE ACCESS
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5m 48sFind out how to integrate an Azure AI Language resource with an Azure AI Search resource in Language Studio. FREE ACCESS
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4m 46sLearn how to deploy an Azure AI Language resource to an Azure AI bot resource to create a custom question answering chatbot. FREE ACCESS
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6m 54sIn this video, find out how to monitor the Azure Bot Service and troubleshoot Azure bots. FREE ACCESS
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56sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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