From the course: Build Your Own AI Lab
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Using Microsoft Azure AI Foundry
From the course: Build Your Own AI Lab
Using Microsoft Azure AI Foundry
- [Instructor] Let's go over Microsoft Azure AI Foundry. This was formerly known as AI Studio. And Microsoft, you know, keeps changing the name, You know, it already has changed the name twice or three times, but it is another unified cloud-based platform that is designed to help you develop, build, and customize different AI-based applications, right? So you can go over many different third-party models and deploy these. And of course, you know, at the time of recording, I already had an inference endpoint already deployed. And don't worry because I'm actually going to be deleting this after recording, but it includes the reference endpoint, so it actually automatically creates a URI for you. And then you have the ability to interact with OpenAI's models, as well as actually interacting with many, many other models, hundreds of them, within their model catalog, many of them that are in Hugging Face that are open source, other ones that are preparatory like the o1 models or the o…
Contents
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Learning objectives38s
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Pros and cons of cloud-based AI labs and sandboxes8m 18s
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Introducing Amazon Bedrock6m 59s
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Surveying Amazon SageMaker12m 56s
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Exploring Google Vertex AI14m 13s
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Using Microsoft Azure AI Foundry10m 11s
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Discussing cost management and security6m 45s
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Deploying Ollama in the cloud with Terraform3m 28s
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