课程: Advanced AI Analytics on AWS: Amazon Bedrock, Q, SageMaker Data Wrangler, and QuickSight

免费学习该课程！

今天就开通帐号，24,700 门业界名师课程任您挑！

Setting up development environments with Amazon Q code catalyst

Setting up development environments with Amazon Q code catalyst

课程: Advanced AI Analytics on AWS: Amazon Bedrock, Q, SageMaker Data Wrangler, and QuickSight

开始一个月试用 购买团队方案

Setting up development environments with Amazon Q code catalyst

“

- Amazon Code Catalyst Blueprints and also Amazon Q Integration is a good place to learn about the platform if you're in analytics, machine learning, AI, and in fact you can use the coding assistance inside of these platforms as well. Here's a example, right, where the context is already loaded because Amazon knows their own platform, so they put this stuff inside. We can see here to do, you know, a bedrock genAI chat bot, Glue, for example, you're building data engineering pipelines, maybe you're building a single page or a static website, Hugo, Jekyll, those kinds of things, this is a pretty good place to start to learn about those different components, get documentation, get some real world examples, and even develop as a team. Now let's go ahead and use it in action here. So first up here we see that I could also, if I wanted to, create a entire project with Amazon Q. So let's go back to the window here and take a look at how this works. So inside of Code Catalyst, once you've got…

内容