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  • Aws workshop github GitHub Gist: instantly share code, notes, and snippets. Each lab can be done separately and there is no You can use this code repository to try out Amazon CodeWhisperer by building a full-fledged, event-driven, serverless application. You will learn how to build cloud-native Java applications, best practices and performance optimizations techniques and how to The pipelines that deploy Amazon Connect and other associated items are installed into a single DevOps tooling account. 2. yaml - Please delete the existing Deployment resource. The system consists of a supervisor agent that orchestrates three specialized sub-agents, each handling specific aspects of energy management and customer service. It is ideal for those with a foundational understanding of container technologies and a desire to apply this knowledge to Kubernetes-based application This hands-on workshop, aimed at developers and solution builders, introduces how to leverage multi-agent collaboration using Agents for Amazon Bedrock. query_reformulation. ipynb - This notebook provides sample code for query reformulation which takes a complex input query and break it into multiple sub The idea is to provide an easy central repository, in a collaborative way. ; Select I acknowledge that We use a subset of SageMaker docs as the knowledge corpus for this post. It utilises several AWS Services along with a physical micro-controller based on the ESP32 chipset. The game quest starts by introducing various prompting concepts which should be To run through each workshop, you will need an AWS Account, preferably with Admin privileges. This game quest is designed to teach prompt engineering best practices, and practice by solving quest questions. You will configure AWS IoT Core to ingest stream data from the AWS Device Simulator, process batch data using Amazon ECS, build an analytics pipeline using AWS IoT Analytics, visualize the data using Amazon QuickSight, and perform machine learning using Jupyter Notebooks. Basically, this workshop is broken down into the following parts: Finetune a Llama2 model with custom dataset using SageMaker Processing, Training and This workshop shows you how to build a dynamic, serverless web application. for each user. - dgomesbr/awesome-aws-workshops (Unofficial) curated list of awesome workshops found around in the internet. These are all licensed under the Amazon Software License (the "License"). ipynb. Agentic Workflows enable large language models (LLMs) to act autonomously, performing tasks or providing assistance on behalf of users. Hands on workshops This project is designed to provide you with an environment in which you can learn to use AWS services to modify the behavior of an ecommerce application, based on The AWS Serverless Developer Experience (SDE) workshop is a 400-level workshop that provides customers with an immersive experience of a serverless developer. Lab1 Serverless. Workshops are hands-on events designed to teach or introduce practical skills, techniques, or concepts which you can use to solve business problems. Click the link below to access the type of on-demand workshop you want to run, Amazon FSx for NetApp ONTAP , Amazon FSx for OpenZFS , Amazon FSx for Lustre In the workshop, we will deploy AWS resources based on the following architecture. 通过Cloud9搭建准备实验环境. The Amazon EKS Workshop is built to help users learn about Amazon EKS features and integrations with popular open-source projects. 0 International License. amazon In this workshop you will explore the AWS services needed to enhance your a voice-of-the-customer application with Natural Langage Processing techniques. Explore practical This website lists workshops created by the teams at Amazon Web Services (AWS). Over the course of 12 weeks, I will explore key AWS core services, dive into identity and access management, networking, storage In this workshop we will be using Amazon Kendra to setup our own Enterprise Search instance, index HTML/PDF content in Amazon S3, and use a variety of query types to return accurate search results for end users. As we're going to use the StackReference again, we need to set the infraStackRef and retrieve our kubeconfig. As our demo app, we will use an open source test application called Conduit, which is handy to learn new frameworks because the same app has implementations in multiple frameworks for backend and frontend. This repository provides the source code for Large Language Model (LLM) based applications that are used for blog posts, workshop and demos. We will be manually creating the necessary network, security, app, and database components and configurations in order to run this architecture in an available and scalable manner. This repository is part of AFT lab. For Sample repository and customization for AWS Control Tower Account Factory for Terraform (AFT). You switched accounts on another tab or window. The application architecture uses Amazon Comprehend, Amazon SageMaker, AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB and Amazon ECR The documentation is made available under the Creative Commons Attribution-ShareAlike 4. This repository contains documentation and sample code for a guided workshop to help customers accelerate the process of getting an initial foundation established in AWS in support of their first set of development, pre-production test, and production environments. Topics aws machine-learning ai workshop deep-learning algorithms ml hands-on sagemaker This hands-on workshop, aimed at developers and solution builders, trains you on how to build a real-life serverless LLM application using foundation models (FMs) through Amazon Bedrock and advanced design patterns such as: Reason and Act (ReAct) Agent, text-to aws-workshop has one repository available. AWS account, users and resources The workshop resources are deployed in a single AWS account. AWS 2021 Modern Application Development(MAD) Day. yaml from the repository. ; Select cloudformation. It will also cover testing and debugging your web This repository contains workshops from the AWS FCJ 2024 program, focusing on hands-on learning and skill development in AWS and AI/ML technologies. Please ensure that all steps defined in Module 1 have been executed successfully. The tooling account and the application account regions are This workshop is designed for builders ready to create Agentic Workflows on AWS. 0 - Step 1 - Create EKS cluster. The storage gateway service is ideal for hybrid deployments and migration solutions looking the bridge traditional on-premises servers and storage protocols with cloud native services such as Amazon S3 and Amazon EBS. If you do have a profile but it's not called personal, then Navigate to the AWS CloudFormation console. aws-workshop-forreal-time-video-analysis This repository contains all the code and assets used for below workshop which demonstrates near real time analysis of video feeds using Amazon Kinesis stream with webrtc, Amazon Rekognition services: You use AWS Lambda as the serverless compute for running the application code in an event-driven manner. Automating IAM policy validation and analysis using GitHub Actions . Contribute to vimallinuxworld13/AWS_workshop_2022_data development by creating an account on GitHub. By the end of this workshop you will be able to understand the A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs. This workshop provides instructions to create, manage, and scale a Kubernetes cluster on AWS, as well as how to deploy applications, scale them, run stateless and stateful containers, perform service AWS Workshops . 1. The project includes the following files and folders. This initial foundation is an The goal of this workshop is to build a multi-tenant Software-as-a-Service (SaaS) solution using AWS Serverless Services, such as Amazon API Gateway, Amazon Cognito, AWS Lambda, Amazon DynamoDB, AWS CodePipeline, and Amazon CloudWatch. There are multiple branches in this repository, navigate to Fig. In this workshop, you'll learn to: Leverage capabilities in Amazon Bedrock to This workshop is designed for builders ready to learn about Generative AI on AWS. You shouldn \' t need to touch this file) ├── config. If you don't have a personal profile, but instead are using default, then you can remove that part of each command. Level AWS はなぜ ML Enablement Workshop の開発・改善をしているのですか ? AI/ML の本番環境での利用を拡大するためです。 これはお客様の利益にもなり、 AWS にとっても本番で AWS の AI/ML のサービスが利用さることはビジネスの拡大に不可欠です。 DeepRacer workshop content. First, you will launch an AWS EC2 Inf1 instance. This README explains the process to completely install all the various components. md - This README file cloudformation. Neural networks simulate the functions of the brain where artificial neurons work in concert to detect patterns in data. With the aid of Amazon CodeWhisperer, you'll write your own code that runs on top of AWS Lambda to interact with Amazon DynamoDB, Amazon SNS, Amazon SQS, Amazon S3, and third-party HTTP APIs to perform image recognition using The move from a single-tenant monolithic architecture to a multi-tenant, modern architecture can be challenging for many organizations. ; Choose Upload a template file. Whilst it Adapted from Azure Databricks NYC Taxi Workshop. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control - The EKS Developers Workshop is a technical workshop designed to equip developers with the skills needed to transition into the Kubernetes and Amazon Elastic Kubernetes Service (EKS) ecosystems. You'll learn how to host static web resources with Amazon S3, how to use Amazon Cognito to manage users and authentication, and how to build a RESTful API for backend processing using Amazon API Gateway, AWS Lambda and Amazon DynamoDB. We will fill this later with the Argo CD deployment. images, scripts, documents, etc) └── themes <-- AWS Style Hugo Theme (Do not edit! Workshop: Intro to Monitoring AWS Services with Grafana Breakout 1: Getting Started with Grafana, AWS CloudWatch, and AWS X-Ray for Observing AWS Workloads Breakout 2: Leveraging Prometheus Style Telemetry Data Stores with OpenTelemetry This workshop shows you how to work with the AWS storage gateway service in both file and volume mode. Same as in the previous chapter. We introduced new Hugging Face Deep Learning Containers (DLCs) to train Hugging Face Transformer models in This workshop is a hands-on walk through of a three-tier web architecture in AWS. If you are stepping through this by yourself, please start with the without_cfn directory. ipynb - This notebook provides sample code for various advance chunking strategies (Fixed, Semantic, & Hierarchical) offered Amazon Bedrock Knowledge Bases for building optimum RAG applcation. This workshop shows you how to build a dynamic, serverless web application. In this workshop, you will initially build a very simple example of a flow for customer service chatbot for a fictitious FinTech company using Amazon Lex. The workshop is abstracted into high-level learning modules, including Networking, Security, AWS Workshop. Let's add an S3 bucket to store the news articles for your website: Navigate to the AWS Console; In the search bar under Find Services, type S3; Click on S3. 6k In this workshop you will learn how to build cloud-native Java applications, best practices and performance optimizations techniques. Over the course of 12 weeks, I will explore key AWS core services, dive into identity and access management, networking, storage Welcome to 12 Weeks AWS Workshops! This challenge is designed to provide in-depth knowledge and hands-on experience in various aspects of Amazon Web Services (AWS). See the LICENSE file. Below is an outline of the workshop . Earlier this year we announced a strategic collaboration with Amazon to make it easier for companies to use Hugging Face in SageMaker, and ship cutting-edge Machine Learning features faster. For detailed walkthrough, please check the lab in AWS Control Tower - Account Factory for Terraform (AFT) . A curated collection of hands-on workshops for learning AWS - angelarw/aws-hands-on-workshops Go Serverless - In this workshop, you will learn by using Go and the AWS Serverless Application Model (SAM), how to create a simple web service using AWS Lambda functions. Although the workshops are designed to be self-contained - using CloudFormation templates for easy deployment and cleanup - they should not be run in production accounts. You'll learn to develop applications using PartyRock and Amazon Bedrock. The data is available in the form of HTML files in an S3 bucket, a Bedrock Knowledge Base Agent then reads these files, converts them into smaller chunks, encodes these chunks into vectors (embeddings) and then ingests these embeddings into an OpenSearch Service Serverless collection index. It covers basics of working with Azure Data Services from Spark on Databricks with Chicago crimes public dataset, followed by an end-to-end data engineering workshop with the NYC Taxi public dataset, and finally an end-to-end machine learning workshop. Bedrock Function: Code for the application's RAG Lambda function, and also a function for authenticating the app. All pipelines will run here and can deploy to any other supported region. ; Choose Next. You will focus on practical skills like prompt engineering and using different foundational In the workshop, we will deploy AWS resources based on the following architecture. Second, execute the 2_Generate_Text_with_GPT2. Next, you will compile and prepare a model for You have configured AWS CLI using aws configure; You have the set the AWS_REGION within aws configure; The role being used from CLI has the permissions required for resources being created by CDK; HTTPS (GRC) is the protocol to use with git-remote-codecommit (GRC). These are the values The rest of the instructions assume that you've got an AWS account setup already, you've setup a programmatic access user, and created a local CLI profile called personal with the access key an secret key. Later we will use this cluster to run our distributed model training job. With the rise of generative AI powered applications that create powerful and innovative user The workshop contains four different sections (NOTE: designed to be followed in order) covering areas like AWS CMKs operations, Types of encryption in AWS KMS with focus on envelope encryption, key policies and best practices working with a demo Web App and AWS KMS monitoring. Each user in the AWS account is authenticated by a unique user ID. When you're ready to get started, head over to Setup to begin deployment of the necessary resources for this workshop. The sample code within this documentation is made available under the MIT-0 license. Note: Estimated workshop costs assume little to no traffic will be served by your demo website created as part of this workshop. This repository has samples that demonstrate various aspects of the new AWS Glue service, as well as various AWS Glue utilities. ; Module 04 (Optional): Analyze a training dataset to Throughout these book examples, you will build an end-to-end AI/ML pipeline for natural language processing with Amazon SageMaker. To learn more about agents and advanced features please see the Agents for Amazon Bedrock Workshop Repository. Welcome to the Serverlesspresso workshop! Serverlesspresso is a serverless coffee bar exhibit, as seen at AWS re:Invent 2021. In particular, we This workshops consists of four modules: Module 01: Transform the data and train a model inside a Jupyter nootebook. Contribute to aws-samples/eks-workshop development by creating an account on GitHub. Workshop Environment Set-up; Section I - Operating with AWS KMS and the CMKs AWS Workshop for Learning EKS. You will navigate into the Amazon S3 Console. Welcome to the re:Invent 2021 Inferentia Workshop! In this workshop, you will walk through three exercises to help you gain experience with AWS Inferentia. This utility provides a simple method for pushing and pulling code from Welcome to our hands-on workshop on building Generative AI Agents using Amazon Bedrock Agents. Introduction to the AWS Cloud Development Kit (CDK) - Workshop This workshop has been retired. ; Module 02: Transform the data and train a model using SageMaker managed training job. The workshop deploys resources such as VPC, EC2 Ubuntu instance, EC2 QNX instance etc. With advanced_chunking_options. README. In this workshop, as a new member of the AWS Lambda Signal Corps, you are tasked with completing the development of a serverless survivor AWS Cloud and DevOps Workshop held during the IEEE Leadership Summit 2024 at Vardhaman College of Engineering, Hyderabad, Telangana You signed in with another tab or window. toml <-- Hugo configuration file for the workshop website └── content <-- Markdown files for pages/steps in workshop └── static <-- Any static assets to be hosted alongside the workshop (ie. They may not be used except in compliance with the License, a copy of which is included here in In this workshop, you will learn about the different components of AWS IoT Analytics. You will use Amazon SQS, Amazon SNS and AWS Step Functions during the workshop extensively and we will use AWS Lambda, AWS SAM and the AWS Management Console as well. This is a self-paced workshop designed for Development and Operations teams who would like to leverage Kubernetes on Amazon Web Services (AWS). What is AWS Alien Attack? AWS Alien Attack is a serverless learn-by-building adventure! You can try out serverless architectures for near real-time data processing pipelines on AWS. All code is in the form of Jupyter Notebooks, hosted in SageMaker Studio. GitHub Workshops . The tight coupling and interwoven dependencies of a monolithic environment makes it especially difficult to move your system to After the setup steps below, there are instructions provided for all of the hands-on exercises, clean-up instructions to tear down the CloudFormation stack, and following that a full walkthrough guide on how to complete the exercises. ; Module 03: Automate the whole dataset preparation and model training pipeline with SageMaker Pipelines. In this interactive session, you will learn how to harness the power of AI agents and tools to build an AI-powered AWS Solution Architect dubbed "Agent AWS". This workshop is designed to be a progression of Text-to-SQL techniques, starting with robust prompt engineering. Note: Amazon Kendra pricing and free tier information is available at https://aws. You will learn how to set-up an Amazon MQ broker and how to connect senders and receivers to exchange messages. images, scripts, documents, etc) └── themes <-- AWS Style Hugo Theme (Do not edit! AWS Cloud and DevOps Workshop held during the IEEE Leadership Summit 2024 at Vardhaman College of Engineering, Hyderabad, Telangana You signed in with another tab or window. You can find the content and instructions for the workshop here. As we all have been there, finding that workshop that you have just attended shouldn&amp;#39;t be This project contains the code for the Java on AWS Lambda workshop. Module 2 requires module 1 to be fully configured and deployed in the same AWS account and region. To build our BERT-based NLP text classifier, you will use a product reviews AWS CloudFormation - Workshop This repository provides all the resources referenced in the CloudFormation workshop as well as the code used to build it. The goal of this workshop is to give you hands-on experience leveraging foundation models (FMs) and retrieval-augmented generation (RAG) with Amazon Bedrock. Check the docs for the Kubernetes provider for details about the Release and CustomResource resources. ; On the Configure stack options page, choose Next. Workshops are hands-on events designed to teach or introduce practical skills, techniques, or concepts AWS Workshops offers hands-on events to teach practical skills, techniques, or concepts for solving business problems using AWS services. AWS Bedrock Knowledge Base for document storage and retrieval; Amazon Titan Text Embeddings V2 for text vectorization; OpenSearch Serverless for vector search capabilities aws-serverless-workshops aws-serverless-workshops Public archive Code and walkthrough labs to set up serverless applications for Wild Rydes workshops JavaScript 4. 2k 2. This is a set of workshops designed for architects and engineers who would like to learn more about Amazon Web Services (AWS) fully-managed third party file system service - Amazon FSx. Verify a valid Region is selected in the upper right corner. Learn how to perform simple workloads Use AWS Account with one of the following AWS regions, where AWS HealthImaging is available: North Virginia (us-east-1), Oregon (us-west-2), Ireland (eu-west-1), and Sydney (ap-southeast-2) Download the CloudFormation tempalte and deploy the template to create Amazon SageMaker Domain and necessary Amazon IAM roles Welcome to the Prompt Engineering game quest. You will train and tune a text classifier to predict the star rating (1 is bad, 5 is good) for product reviews using the state-of-the-art BERT model for language representation. You will also learn how to migrate your existing Java application to container services such as AWS AppRunner, Amazon ECS and Amazon EKS or how to to run them as Serverless AWS Lambda functions. The LLM applications in this repo include inference, generating Welcome to 12 Weeks AWS Workshops! This challenge is designed to provide in-depth knowledge and hands-on experience in various aspects of Amazon Web Services (AWS). This website lists workshops created by the teams at Amazon Web Services (AWS). 步骤1-从头开始写一个 serverless API The Zombie Microservices Workshop introduces the basics of building serverless applications using AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Cognito, Amazon SNS, and other AWS services. Choose Create stack, with new resources (standard). Amazon Sagemaker Jumpstart makes it simple to host LLMs as Sagemaker Endpoints enabling uses-cases for inference (text to text generation) and embeddings generation. An AWS Account and Administrator-level access to it; Please be sure to terminate all of the resources created during this workshop to ensure that you are no longer charged. AWS Cloud WAN is a managed wide-area networking (WAN) service that you can use to build, manage, and monitor an unified global network that connects resources running across your cloud and on-premises environments. This consists of three frontend applications and various backend microservices. ipynb to create the multi-model endpoint, and optionally a GPT-J endpoint. Follow their code on GitHub. Whilst it Deep Learning (DL) is an implementation of Machine Learning (ML) that uses neural networks to solve difficult problems such as image recognition, sentiment analysis and recommendations. This workshop showcases the new Amazon Bedrock Agents feature multi-agent collaboration capabilities through an Energy Efficiency Management System. 1 Knowledge Base System. Usage This workshop is designed to help you operationalize an open source Large Language Model (LLM), and use the LLM to build a generative AI Q&A bot. Reload to refresh your session. Gain hands-on Learn about securing CloudFormation templates from code to cloud using Bridgecrew’s integrations with VS Code, CodeBuild, CodePipeline, GitHub and AWS runtime. You can use Alien Attack to experiment with best practices for development, security, databases, Big Data, and IoT The Asynchronous Messaging Workshop is a collection of individual labs covering different aspects and patterns of asynchronous messaging. . This allows deep learning algorithms to classify, predict and Adapted from Azure Databricks NYC Taxi Workshop. First, execute the 1_deploy_gpt2_gptj_mme. The Amazon MQ Workshop introduces the relevant concepts and features of a message driven application using Amazon MQ. This is a multi-part (free) workshop featuring Azure Databricks. We will learn to deploy real applications. You signed out in another tab or window. Although this is an introductory If you are in an AWS-hosted workshop, please follow the steps provided by your workshop team. In this step we will execute scripts to create a managed Kubernetes cluster using the Amazon Elastic Kubernetes Service (). This workshop aims to introduce the reader to managing infrastructure using Amazon Web Services (AWS). It provides a central dashboard from which you can connect on-premises branch offices An IoT Workshop designed to get you up and running on AWS. This also includes using different protocols to demonstrate the protocol interoperability features Amazon MQ provides. It also assumes that you're working on a local machine (instead of a Cloud9 instance). Once you have built the chatbot you will integrate it with Amazon Connect to create a call center workflow. Please refer to the AWS CDK Immersion Day Workshop for the latest content. Amazon Bedrock is a fully managed service that provides access to FMs from third-party providers and Amazon; available via an API. ; For Stack name, enter WorkSpaces-Workshop. The deployment script requires yq to modify YAML files on your local machine. yquc lep vey kbadpi murne toym sme qxeb ojhah mwr ugsnzv ecmxn jmylwof sqfea haimwv