From the course: Build Your Own AI Lab
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Discussing cost management and security
From the course: Build Your Own AI Lab
Discussing cost management and security
- Cloud-based AI platforms, like the ones that we just discussed, Azure AI Foundry, which is what you're seeing in front of your screen. Google Vertex AI, AWS Bedrock, SageMaker, definitely they have become essential tools for you to leverage AI at scale. However, managing cost and ensuring robust security are two critical challenges whenever you're using these platforms. So here, what I would like to do is explore a few tips around cost management strategies and also security best practices for these leading AI cloud environments, and then to help you, of course, optimize your investment, and of course, protect your wallet a little bit, right? So I was making the joke that from the moment that you start experimenting in here and you start clicking on a few things, new machines are being instantiated, new, you know, S3 buckets, in the case of Azure, or AWS rather, or compute nodes or you know, endpoints are being instantiated, and then in some cases, you may leave them running. So you…
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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