AWS AI Automation Foundations: Command Line Interface (CLI) with Amazon Q in AWS CloudShell
47mBeginner2025-01-16
Authors
Noah Gift
MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO
Pragmatic AI Labs
Course details
In this interactive course, MLOps expert Noah Gift shows you the functionalities of Amazon Q and AWS CloudShell. Learn how to integrate Docker into CloudShell to streamline your development processes. Discover the steps to deploy Node.js Lambda applications using the AWS Cloud Development Kit (CDK) within CloudShell. Get hands-on experience with pushing your Docker images to the Amazon Elastic Container Registry (ECR). The course covers detailed demonstrations and deep dives into CloudShell's hacking capabilities. Whether you're aiming to improve your development efficiency or stay updated on the latest AWS innovations, this course provides the insights and skills needed to achieve your goals.
Skills covered
Amazon BedrockAmazon SageMakerCloud DevelopmentMachine LearningGenerative AIArtificial Intelligence FoundationsAmazon Web Services (AWS)AmazonCloud ServicesCloud PlatformsArtificial Intelligence (AI)Cloud ComputingOne-Off
Concepts
Module 1 - Course Introduction
- Course introduction
Module 2 - Amazon Q and AWS CloudShell
- What is Amazon Q
- Amazon Q CloudShell intro
- Using docker in CloudShell
- Docker AWS CloudShell overview
- Deep hacking AWS CloudShell
- Node lambda CDK with deploy with Amazon Q and AWS CloudShell
- CloudShell CDK with Amazon Q
- Docker build in CloudShell walkthrough
- Pushing to ECR from CloudShell demo
Module 3 - Course Conclusion
- Course conclusion