Using AWS CloudShell to Invoke Foundation Models With Amazon Bedrock via AWS CLI and Python (Boto3) скачать в хорошем качестве

Using AWS CloudShell to Invoke Foundation Models With Amazon Bedrock via AWS CLI and Python (Boto3)

In this lesson, you will explore Amazon Bedrock, a fully managed service in AWS's generative AI layer. You will learn about its core concepts, capabilities, and how to interact with it using the Bedrock Playground, AWS CLI, and SDKs. You will be guided through setting up model access and using the Bedrock console. In the playground, you will experiment with inference, prompts, and parameters to better understand AI model interactions. Hands-On Exercises: Through hands-on exercises, you will learn how to invoke Bedrock models using CloudShell with AWS CLI and Python (Boto3), gaining practical experience to integrate AI services into your cloud-based applications. For the code examples, visit: https://docs.digitalden.cloud/posts/g... By the end of this lesson, you will be able to: Understand foundation models and Amazon Bedrock's unified API. Set up model access and explore the Bedrock console. Learn about inference and AI model interactions. Experiment with prompts and inference parameters in the Bedrock playground. Invoke Bedrock models using CloudShell with AWS CLI and Python (Boto3). Who should attend this lesson? This lesson is designed for you if you are just getting started with Amazon Bedrock, whether you are a cloud practitioner, developer, data scientist, or someone interested in AWS’s generative AI capabilities. 02:19 - Introduction to Amazon Bedrock 02:36 - Understanding Foundation Models 03:32 - Amazon Bedrock's Unified API 04:25 - Comparing Amazon Bedrock and Other AI Services 05:10 - Amazon Bedrock Providers and Use Cases 07:02 - How to Architect a Generative AI Application 08:41 - Setting Up Model Access in Amazon Bedrock 10:05 - Exploring Bedrock's Playground Features 14:27 - Programmatically Invoking Bedrock Models for Real Applications 15:41 - Setting Up API Requests for Bedrock Model Invocation 17:36 - Using the AWS CLI to Invoke Bedrock Models 21:22 - Invoking Models with Python and Boto3 25:47 - Practical Example: Build GenAI-Integrated Serverless Backends 26:25 - Summary