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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-to-build-aws-bedrock-based-end-to-end-ai-web-app/
课程评论：没有评论
课程名称：学习构建基于AWS Bedrock的端到端AI网页应用 课程概述：本课程以实践为导向，通过逐步指导，帮助学员构建一个基于AWS Bedrock的云原生AI网页应用。该应用能够从用户的网页浏览器发送数据，使用基于S3的静态网站通过CloudFront连接到API Gateway，再到AWS Lambda，最终与AWS Bedrock交互。在此过程中，系统将调用Bedrock提供的基础模型（FM），并根据收到的请求将响应发送回用户的浏览器。课程旨在提供实际的、现实世界的技能，通过详细讲解每个架构组件，确保学员不仅理解概念，还能在云环境中直接应用。 在AWS服务方面，学员将获得使用多个重要服务的经验，包括AWS IAM（用于保护资源）、AWS CloudFront（用于全球规模部署网页应用）、API Gateway（可通过公共端点执行AWS Lambda函数，供S3网页表单使用）以及AWS CloudWatch（用于监控和记录数据传输）。AWS Lambda将与AWS Bedrock服务交互，发送请求至大型语言模型（LLM/FM），并获取生成性响应，供用户在浏览器中查看。 本课程的案例是让用户提交三个配料，并生成由基础模型（Amazon Titan）制作的食谱创意，最终返回用户浏览器。在课程结束时，学员将构建出一个可操作的、可扩展的基于AI的网页应用，深入理解云原生架构，并获得可直接应用于现实项目或职业角色的实践经验。 该课程适合希望提升AWS开发技能的初级云工程师，帮助他们在面试中更加自信，并为简历增加实战项目。同时，本课程也适合中级云工程师深入了解最新的快速发展的AI技术领域及其应用，此外，对于希望获得构建最终用户网页应用的实践经验的产品负责人、产品经理、敏捷大师和技术领导者而言，本课程同样具有重要价值。
In this hands-on course, you will follow along step-by-step to build a Cloud Native AWS Bedrock based AI Web App that sends data from User's Web Browser, using S3 based static website on CloudFront to API Gateway, to AWS Lambda and finally to an AWS Bedrock, where in call is made to a Foundation Model (FM) provided by bedrock and response is sent back to end user's browser based on the prompt that was received. This course is designed to provide practical, real-world skills by walking through each component of the architecture, ensuring that learners not only understand the concepts but also apply them directly in a cloud environment.On the AWS side, you will gain experience working with several important services, including AWS IAM for securing resources, AWS CloudFront for deploying the web app we create globally at scale, API Gateway to be able to execute AWS Lambda function via a public end point used in S3 web form and AWS CloudWatch for monitoring and logging the data sent back & forth to Lambda. The AWS Lambda interacts with AWS Bedrock service and sends prompts to LLM/FM and obtain Generative response for the user to view on the browser based on prompt sent. These services are essential for building secure, scalable, and reliable applications in the cloud. In this course we curate prompt for user to send 3 Ingredients and send back a recipe idea generated by Foundation Model (FM/LLM - Amazon - Titan) back to user browser.By the end of this course, you will have built a working, scalable AI based Web Application, gained insights into cloud-native architectures, and acquired hands-on experience that can be directly applied to real-world projects or professional roles.This course is suitable for Entry Level budding Cloud Engineers who are looking to build AWS development skills, looking to work on Real Life project and wanting to add one to their resume. It will help them be more confident when interviewing, since they will work hands-on in this course. This course will also help mid level Cloud Engineers expose themselves to latest and fastest growing Technology area of AI, Foundation Models and their Applications. It will also help Product Owners, Product Mangers, Scrum Masters and Technology Leaders looking to get a hands-on experience of building an End to End Web Browser based Application that leverages Generative power of Foundation Model/LLM provided by AWS Bedrock.
