Generative AI & the Azure Bot AI Service
Master Azure Bot Service: Create smart chatbots with generative AI and Copilot Studio. Deploy CLU models, explore Cognitive Services and scaling, and ensure data security.
Skill level
IntermediateTime to complete
Approx. 1 hourCertificate of completion
Yes
About this course
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.
Learning objectives
- Discover the key concepts covered in this course
- Provide an overview of azure bot service and how it is used
- Identify the different types of generative artificial intelligence (ai) models that can be used for bots
How it works
Expert-led videos
In this course, you'll watch videos created by industry-leading experts for some of the biggest tech companies in the world. They'll cover key concepts, go through sample applications, prepare you for industry certifications, and more. Watch on any device — whenever and wherever you want — to learn at your own pace.
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Our learners work at
The Relationship Between the Cloud & AI Explained
As AI finds its way into so many aspects of our lives, it’s even more important to understand the infrastructure that powers this valuable tool. That includes the cloud, which is a big part of how AI apps are deployed and scaled.
Cloud computing basically refers to internet-delivered services like servers, storage, databases, networks, software, and analytics. The cloud provides computational power and ample data storage that’s needed to train, develop, and deploy cutting-edge AI models.
If you’re looking for a way to get started with cloud technology, we recently launched a collection of free cloud courses. These courses provide you with foundational knowledge in core cloud providers including Microsoft Azure, Amazon Web Services, Google Cloud, and CompTIA Cloud Essentials+. With these cloud courses, you have the option to dive in and explore for free before committing to a cloud certification program. They’re also an excellent way to complement the in-demand AI and coding skills that you’re already learning.
Ahead, we’ll break down the relationship between cloud computing and AI with insight from Michael Shannon, a Senior Analyst in Tech and Dev at Skillsoft, who developed the curriculum for many of our cloud courses.
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