From the course: Enterprise AI Solutions with AWS: Amazon Q Business, Bedrock Knowledge Bases, and SageMaker MLOps

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Course summary and best practices

Course summary and best practices

From the course: Enterprise AI Solutions with AWS: Amazon Q Business, Bedrock Knowledge Bases, and SageMaker MLOps

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Course summary and best practices

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- [Instructor] Welcome to the Course Conclusion. We talked about AWS AI operations with a real focus on the enterprise implementations of those particular features. First, let's go through here and build out what is next. So, what we talked about was the core AWS AI services. And in particular, Bedrock was a key component of this, and this is where you have the foundation models, you have the agents, you can do the knowledge bases as well. So it's really a comprehensive suite of tools that allow you to toggle in and out of different models. Amazon Q is the AI assistant, and that AI assistant allows you to do things like do natural language questions for Bash commands or for asking about AWS services. And this is pretty useful in the enterprise because if you wanted to ask specifically about things on AWS, this is a safer way to push people to use generative AI, is they could open up CloudShell and they could ask questions with Amazon Q about AWS. Now, AWS CloudShell, in particular…

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