Organizations today with multiple groups across business using Data warehousing solutions are looking at easy way to share data with each other. With data sharing, customers can now share the data across multiple redshift clusters without copying data through ETL jobs. Data sharing, provides instant, granular, and high performance access to the clusters data. In this workshop, we will discuss and implement different business use cases that can be solved with Amazon Redshift Data sharing

Amazon Aurora DSQL is a serverless distributed SQL database with virtually unlimited scale, the highest availability, and zero infrastructure management. In this workshop, we will dive deep into how DSQL works, how it is different from traditional relational databases, and how you can leverage its design and features to help grow your application.

This workshop introduces Amazon Connect, AWS's cloud-based contact center solution. Through hands-on labs using a sample case study, participants will learn: 1. Basic setup including queue creation, user management, and contact flow design. 2. Call analytics with real-time and historical metrics reporting. 3. Conversational analytics using Contact Lens.

Accelerate your mainframe modernization journey using Amazon Q Developer: Transform capabilities for Mainframe application. In this workshop, you will learn how to refactor Mainframe applications using Amazon Q Developer: Transform capability.

Learn how to build fast, performant Rust applications on AWS. No prior Rust knowledge required!

Learn how to use Amazon Bedrock and Boomi together to create a Generative AI-powered Automated Support Case Insights assistant.

This hands-on workshop teaches IT professionals to effectively manage Amazon SageMaker AI. Participants will earn hands-on experience for domain and user profile management, access control, custom image management, lifecycle configuration, and more. Through hands-on labs, attendees will gain experience in scaling SageMaker AI administration, enabling them to streamline workflows and support data science teams confidently.

Amazon SageMaker is a unified experience for data, analytics, and AI. Bringing together widely-adopted AWS machine learning and analytics capabilities, the next generation of SageMaker delivers an integrated experience for analytics and AI with unified access to all your data. Collaborate and build faster from a unified studio using familiar AWS tools for model development, generative AI, data processing, and SQL analytics, accelerated by Amazon Q Developer, the most capable generative AI assistant for software development. Access all your data whether it’s stored in data lakes, data warehouses, third party or federated data sources, with governance built-in to address enterprise security needs.

Dive into the world of LLM evaluation with our hands-on workshop. Master Amazon Bedrock's API and Promptfoo to rigorously assess and optimize AI performance. Learn to design comprehensive test suites, evaluate multi-turn conversations, and implement continuous monitoring. Through practical Jupyter labs, you'll compare models, refine prompts, and evaluate complex systems like RAG.

Explore the power of Amazon Nova Multimodal Understanding Models on Amazon Bedrock. The workshop explores capabilities of Amazon Nova understanding models.

Open Platform for Enterprise AI (OPEA) is an open source platform from the Linux Foundation that provides composable building blocks for state of the art generative AI systems. This workshop walks you through deploying one of OPEA's sample modules, ChatQnA, onto an Amazon Elastic Kubernetes Service (EKS) cluster as well as how to integrate it with services like Opensearch and Amazon Bedrock.

In this workshop, you will learn best practices for cost and sustainability optimization. We will shift cost and sustainability responsibilities from the Cloud Center of Excellence (CCoE) to end users and application owners aided by automation and monitoring at scale. Explore how to use AWS services designed to optimize your infrastructure and your workloads with the aid of AI/ML algorithms to detect anomalies. Building upon real-world use cases, learn about implementing mechanisms that empower application owners to have clear, actionable tasks for cost and sustainability optimization.

Building operational resilience requires proactive identification and mitigation of risks. In this workshop, use AWS managed generative AI services in real-world scenarios to learn how to assess readiness, proactively improve your architecture, react quickly to events, troubleshoot issues, and implement effective observability practices. Learn strategies for debugging issues, detecting anomalies and incidents, and optimizing architectures to improve the resilience of your workloads.

In this workshop, you will build a sample generative AI document chatbot app on AWS using Amazon Bedrock and Generative AI Terraform Modules. You will learn the common infrastructure patterns for generative AI apps on AWS, and take advantage of Terraform to easily deploy the required architecture while avoiding the undifferentiated heavy lifting of reinventing common architectural patterns from scratch.

Explore AI-powered content creation with our Nova Canvas and Nova Reel workshop. Learn about image generation, image editing and text-to-video generation through practical examples. Discover how to create compelling visual narratives, transform concepts into images or videos. This session will show you how to integrate these tools into your workflow, enhancing creativity and efficiency for marketers, content creators, and business strategists alike.

SaaS providers are constantly striving for cost and usage awareness across their users, tenants, features, and tiers. In this workshop, we will look into the various approaches you can use to track the SaaS per tenant cost and eventually visualize the cost using tools like AWS Cloud Intelligence dashboard.

In this workshop, we’ll look at how cell-based architectures provide you with new ways to group, deploy, scale, and operate your multi-tenant workloads. We’ll go under the hood of a working SaaS cell-based architecture, implement provisioning, configuration, observability, routing, and sharding of cells. We’ll also look at how this approach influences the tiering, scaling, and resiliency profile of your SaaS architecture.

Detailed steps on how to build Matter PKI leverage AWS Private Certificate Authority

Detailed steps on how to build Matter PKI leverage AWS Private Certificate Authority

ALearn how to troubleshoot common ACM DNS-validation scenarios. Requires a Registered Domain.

In this workshop, we will explore a number of different services that can help ensure encryption in transit in your AWS Applications. We'll develop hands-on experience with encryption in transit with various use cases. These will range from setting up a PKI hierarchy on AWS, developing TLS applications, enabling secure service to service communication with VPC Lattice, building IoT use cases, and using private certificates in container based workloads.

In this builder session, we will create a demo serverless architecture with data protection specifically as the goal. Dive deep with AWS Key Management Service (AWS KMS) to encrypt data at rest with a customer managed key (CMKs) and use key policies and resource policies to enforce least privilege. Gain hands on experience building and deploying a serverless app with Amazon SNS, Amazon SQS, and AWS Lambda.

This workshop will cover some of the most common customer issues in the Key Management Service, including S3/KMS integrations, checking CloudTrail logs, and Identity Access Management policy verification. You will troubleshoot KMS key policies and verify exactly what KMS keys are being used on your S3 objects in a multi-regional scenario. Feel free to reach out to @gmmcgilv for any questions or feedback.

This hands-on lab is designed to provide customers with a comprehensive understanding of AWS KMS, a powerful service for managing cryptographic keys and controlling their use across a wide range of AWS services and applications.

In this workshop you will implement steps to configure AWS Secrets Manager for CyberArk Secrets Hub access.

Store, retrieve, and manage sensitive credentials in AWS Secrets Manager.

Learn how to build and deploy personalized recommendations for e-commerce applications using Amazon Personalize in this comprehensive, hands-on workshop designed for developers with no prior machine learning experience. Through interactive labs, you'll master the end-to-end process of creating a recommender system—from data preparation to model deployment and integration—using AWS Console, while gaining practical insights and best practices for implementing personalization in your own applications.

This workshop shows how to retrieve secrets from AWS Secrets Manager in many AWS Compute Environments . It shows how to use the Lambda extension to retrieve secrets in a Lambda function. it shows how to use the AW Secrets Manager Go Caching Client to retrieve secrets in an EC2 instance and an ECS service. It then shows how to use the AWS Secrets Manager and Config Provider for Secret Store CSI Driver to retrieve secrets in an EKS environment.

Through this Workshop you can learn the inner mechanism of IAM Roles Anywhere and how to use it from your non-AWS ecosystem through the CLI, through the AWS Credential file, and through the SDK.

AWS Introduction to Post-Quantum Cryptography Workshop

This workshop covers topics as SSL/TLS offloading using CloudHSM, logging and monitoring of clusters, containerized applications backed with CloudHSM service, KMS integration with CloudHSM for Custom Key store management (CKS)

This hands-on workshop will demonstrate how to build a multi-tenant GenAI SaaS solution using RAG. Participants will learn best practices for creating multi-tenant architecture, implementing tenant isolation, enabling tenant throttling experience, and calculating cost per tenant

In this hands-on workshop, you will learn how to build, publish & deploy a Large Language Generative AI model server along with a front end web application as an AWS IoT Greengrass component to an Amazon Elastic Compute (EC2) instance acting as an Internet-of-Things (IoT) edge device to generate text, upload & analyze images, create knowledge bases & perform Q&A chat with a Gen-AI chatbot at the edge.

Earlier in 2024, AWS and Orange Middle East & Africa announced plans to bring AWS Wavelength to Morocco and Senegal. In addition to the first AWS Wavelength Zones in Africa, this announcement marked the first Wavelength Zones in countries without an existing AWS Region or AWS Local Zone. With AWS Wavelength, customers can take advantage of the cloud’s on-demand scaling and pay-as-you-go pricing model, enabling them to keep their data localized while benefiting from the same reliable, secure, and high-performance infrastructure as AWS Regions. Customers can expect operational consistency, access to the same services and APIs, and the ability to use familiar tools for automation, deployments, and security controls. In this workshop, learn the technical fundamentals that will enable customers to support use cases across regulated industries that require data to remain local, such as telecom, finance, public sector, and healthcare, as well as industries that depend on low-latency applications like gaming.

Gain hands-on experience in configuring cost optimized Disaster Recovery (DR) solution for SAP systems on AWS Cloud.

Ever needed to build new event-driven features for an existing black box or COTS application without access to the source code? In this workshop, you will learn how to set up a data streaming pipeline with AWS DMS and AWS OpenSearch Serverless to build new event-driven features for existing applications using change data capture. Using a leave and layer pattern you will then build Generative AI based microservices integrated with the legacy monolithic application.

Learn how to build an IoT device for edge computer vision and machine learning (CVML) workloads, with a focus on detecting driver fatigue and distraction.

In today's fast-paced business, reliable and timely communication is essential for reaching customers. This workshop teaches building a resilient omni-channel notification system using AWS services. The solution monitors delivery, triggering a secondary channel if the primary fails, to ensure important notifications reach customers without interruption. You'll learn to deploy a customizable omni-channel communication solution providing redundancy and improved customer engagement.

This workshop is designed for developers and security professionals who want to secure web applications with AWS WAF.

Unleash the power of mainframe data with AWS and generative AI

This workshop provides an overview of IAM then focuses on use cases to achieve Least Privilege with AWS Identity and Access Management Access Analyzer (IAM Access Analyzer).

Leveraging AI/ML and data analytics to build an intelligent fraud detection system that safeguards payments and provides financial institutions with actionable insights to stop fraudulent transactions.

AWS Health Events Intelligence Dashboard & Insights (HEIDI) is a solution that offers insight into events received from AWS Health across multiple Regions, accounts, and Organizations. HEIDI presents an accessible overview of AWS Health events, facilitating easy access and presentation of information via Amazon QuickSight.By integrating Amazon Q with the HEIDI solution, customers can now easily analyze and gain insights from AWS Health event data across accounts, regions and organizations using natural language queries. This allows for faster identification and understanding of issues impacting their AWS environment.

An ECS Workshop ImmersionDay provides an end-to-end application development and deployment experience to demonstrate features of Amazon ECS, using real-world services from an application development perspective in order to educate users about the features of Amazon ECS such as scaling, networking, observability, security and automation.

Learn how to build an end-to-end hyper-personalized workflow with AWS. Personalization of messaging is a foundational capability to improve the effectiveness of outbound communications, such as email, direct mail, SMS, push messaging in increasing customer satisfaction, retention, cross-sell and up-sell. Innovations in Generative AI offer compelling opportunities to more easily automate creation of text and image content to enable more scalable message personalization.

This introductory AWS workshop provides hands-on learning for beginners, using the setup of a private web server as a teaching tool to cover core AWS concepts. Participants will configure the server to interact with public resources like external APIs and Amazon S3 storage, gaining practical experience with fundamental AWS services and architecture, such as EC2 instances and VPC.

Learn best practices that help when replatforming a mainframe application to Micro Focus. You will explore the best practices for source code migration, dataset migration, directory structures, and compiler directives.

Want to analyze IAM policies at scale? Want your developers to write secure IAM policies? In this hands-on workshop, you are given the opportunity to build a CI/CD pipeline that validates IAM policies using IAM Access Analyzer and the IAM Policy Validator for AWS CloudFormation.

In this workshop we will demonstrate how to deploy a SCADA system Disaster Recovery on AWS. The workshop will guide you also in the configuration of the SCADA and the demonstration of the failover mechanism. This workshop is part of a series to be executed for multiple SCADA from multiple vendors. In this first iteration we will use Ignition SCADA from Inductive Automation.

Amazon SageMaker HyperPod helps you provision resilient clusters for running machine learning (ML) workloads and developing state-of-the-art models such as large language models (LLMs), diffusion models, and foundation models (FMs). By completing this workshop you will learn how to train large language models (LLMs) on SageMaker HyperPod worker nodes while using an EKS control plane to provide a native Kubernetes experience for container orchestration and workflow management via tools like the Kubeflow Training Operator.

Discover how supervisors are able to effectively harness supervisor tools including Generative AI-powered features, such as Contact Lens Conversational Analytics

Workshop attendees learn how an existing IVR solution is migrated to a speech conversational IVR powered by Amazon Connect and Amazon Lex. You get to know concepts that are used to design personal and dynamic customer experience for audio and text conversations. As conversational IVRs require continuous improvements, you are tasked to integrate personalized greetings, high speech recognization, sentiment-based routing and guided workflows to display options and use this knowledge for your job.

Deploy ArcGIS Enterprise on Amazon Elastic Kubernetes Service. This lab will walk through deploying the components of ArcGIS Enterprise in a kubernetes cluster. This will be the ArcGIS Kubernetes Official Distribution and not traditional Enterprise.

Learn how to implement ChatOps using AWS services, including AWS Chatbot, and popular communication and collaboration platforms, such as Microsoft Teams and Slack. Explore how you can implement chat-driven operational workflows to assist in diagnosing and remediating operational issues of modern workloads

An introduction to running GeoServer on AWS. The workshop will walk you through the steps to launch the Geoserver standard docker distribution and host on AWS Fargate. With AWS support for PostgreSQL/PostGIS available in Aurora Serverless we explore connecting GeoServer to a PostgreSQL source. We will explore scaling out the GeoServer web tier and including a shared file service using Elastic File Service (EFS).

This workshop will enable you to learn about setting up in-app, web and video calling within your Amazon Connect instance, and deploy a communications widget onto your website so customers can reach out to their specialist portfolio managers.

This workshop details the steps required to launch ArcGIS enterprise components onto EC2 instances via Cloudformation. It uses AWS CloudShell to run command line arguments that will create required networking components and initiate a Cloudformation stack creation. This workshop is designed to only be run at AWS facilitated events all resources will be deleted at the end of the workshop.

Build an Amazon AppStream 2.0 environment to stream ESRI ArcGIS Pro to your users.

The Hybrid Cloud Immersion Day lab illustrates extending Amazon EKS across AWS Local Zones and Outposts, emphasizing AWS's consistent hybrid cloud capabilities. This configuration highlights uniform security, management, and connectivity, utilizing the same tools and APIs across various environments. It demonstrates how enterprises can meet data residency requirements, achieve low latency and local data processing while maintaining centralized management of the EKS control plane.

In this workshop, you will build your own Serverlesspresso. You build and event-driven, serverless backend that supports a pop-up coffee shop using Amazon EventBridge and AWS Step Functions.

AWS IoT SiteWise Edge software makes it easy to collect, organize, process, and monitor equipment data on-premises. SiteWise Edge is installed on local hardware such as third-party industrial gateways and computers, or on AWS Outposts and AWS Snow Family compute devices. This workshop focuses on a simple IIoT Use case but on the edge.

هذه الورشة مُصممة لتعريفك بخدمات اكتشاف التهديدات والاستجابة لها في AWS، وأفضل الممارسات، وحالات الاستخدام، ثم استخدام ما تعلمته للتعمق أكثر في السيناريوهات. كل هذا مُصمم لإعدادك ومساعدتك على العمل بشكل أكثر أمانًا على AWS. تمر هذه الورشة بلمحات عامة وتشغيل وتنصيب كل من الخدمات التالية: Amazon GuardDuty و Amazon Inspector و AWS Security Hub و Amazon Macie و Amazon Detective.

CrowdStrike Falcon Cloud Security (FCS) Lab on AWS builds a foundational AWS environment for testing FCS deployment mechanisms, and for launching a Metasploit-based attack against vulnerable systems.

Labs and guidance that will lead you through the fundamentals of CloudFormation in an approachable way. The labs progress from simple to more complex. With the skills you'll learn, you can begin developing templates to support your own projects.

CipherTrust Vaultless Tokenization with Dynamic Data Masking dramatically reduces the cost and effort required to comply with security policies and regulatory mandates like PCI DSS, HIPAA and GDPR. The solution delivers capabilities for database tokenization and dynamic display security.

This workshop is designed to give you an introduction to building applications with Amazon Web Services. This workshop focuses on using the core AWS Software Development Kits (SDKs)

Learn how to build Agentic Workflows, where large language models (LLMs) act autonomously to perform tasks or provide assistance on behalf of users. Participants will learn to leverage capabilities in AWS Bedrock to create both chatbot and non-chatbot workflows, incorporating features such as code interpretation and memory. We will also use Amazon Q Developer to assist in coding and debugging.

In this workshop learn how customers can rapidly set up a compliant payment gateway that connects to multiple processors just in few minutes. With Hyperswitch, customers can quickly integrate and manage over 50 payment processors, eliminating the need for time-consuming individual integrations and reducing development effort by up to 90%. This unified platform allows businesses to start processing payments securely and efficiently across various processors, while also providing features like intelligent routing, seamless failover, and a customizable checkout experience, all within a PCI-compliant framework

Throughout this workshop, you'll learn how to leverage Guardrails for Amazon Bedrock to consistently apply AI safety measures across your applications, including blocking undesirable topics, filtering harmful content, redacting sensitive information, and detecting hallucinations through contextual grounding checks. By the end of this workshop, you'll have gained hands-on experience in configuring and applying Guardrails to align your generative AI applications with your organization's responsible AI policies.

In this hands-on workshop, customers will learn how to build real-time, event-driven decision making solutions using AWS services. Participants will use Amazon Managed Streaming for Apache Kafka (MSK), Amazon Redshift, and Amazon QuickSight to construct a real-time data processing solution. Through practical exercises, customers will learn how to ingest and process streaming data, perform advanced analytics, and create dynamic visualizations using QuickSight. The workshop will guide attendees through setting up scalable data pipelines, transforming realtime data into actionable insights, and making data-driven decisions in response to events as they unfold. By the end of the session, customers will have gained valuable skills in using AWS services, enabling them to leverage real-time information for their organizations' advantage.

An immersive demonstration of how electric utility customers and partners can achieve Bulk Electric System Cyber System Information(BCSI) compliance in the AWS Cloud.

In this workshop you will get hands-on experience building, operating, and testing a resilient multi-AZ application. You will use CloudWatch dashboards, Insights Rules, and composite alarms to observe the health of your application. You'll inject faults using the AWS Fault Injection Service (FIS) to simulate a variety of single AZ impairments. You'll also learn how to leverage AWS CodeDeploy to perform zonal deployments and experience deployment failures. Finally, you'll leverage Amazon Route 53 zonal shift to recover from these failures and protect your customer experience. These patterns can help be more resilient to single-AZ failures in an AWS Region.

In this workshop, you will use AWS Mainframe Modernization Code Conversion with mLogica service to analyze and convert a mainframe application containing Assembler components. The mainframe application is an AWS open-source mainframe application named CardDemo.

In this hands-on workshop, you'll learn how to harness the power of generative AI to empower your contact center agents. We'll explore how to enable your agents to leverage AI-powered assistance and workflows

Ensuring security is a critical priority when developing and deploying generative AI applications for sensitive use cases. By prioritizing security from the initial design phase through development, testing, and eventual deployment of AI-ML systems, misuse can be prevented while still enabling innovation. This session aims to equip customers with techniques to make their machine learning workflows more secure, using familiar security controls. Overall, building security considerations into every stage of ML development and deployment allows for responsible AI innovation.

This is a hands-on workshop where you learn to use existing build tools and coding best practices to build cloud native (no containers needed) multicloud applications from the same application repository that run on AWS, GCP, and Azure.

This workshop takes you through an actual deployment of an object detector application in an AWS Local Zone. Learn how to extend your VPC to a Local Zone, deploy an application to meet your latency requirements focusing on what to consider in your VPC architecture and deploying a VPN.

In this workshop, participants will learn how to use Guardrails for Amazon Bedrock. Users can use guardrails to evaluate user inputs and Foundation Model responses based on use case specific policies. Guardrails for Amazon Bedrock provides an additional layer of safeguards regardless of the underlying FM.

This workshop utilizes AWS HealthScribe and integrates with Amazon Transcribe and Amazon Bedrock for a comprehensive solution that generates output json files that can be integrated with EHR/EMR systems. Furthermore, Amazon Bedrock can be utilized to ask natural language Q&A about the data generated from the call transcript.

The Amazon Connect Operational Workshop help you learn to operate Amazon Connect workloads in Production. It provides guidance and best practices to monitor and diagnose technical issues and how to mitigate and resolve them quickly.

This workshop enables participants to go through common scenarios and how to mitigate them using data perimeters.

This workshop covers the entire lifecycle of an Amazon Managed Service for Apache Flink application, from development and debugging to deployment and running at scale on AWS. You will learn how to implement an Apache Flink application, experiencing hands-on the development lifecycle of an end-to-end solution, analyzing streaming data from Amazon Kinesis, and feeding it in real-time into Amazon OpenSearch Service, with results displayed in an OpenSearch Dashboard. You will dive deep into deploying, monitoring, and troubleshooting your production application in Amazon Managed Service for Apache Flink.

A key business goal of customers is to improve operational efficiency and drive down costs, while also lowering their carbon emissions. One of the easiest way to make progress towards a sustainability goal is to adopt AWS Graviton instances for compute workloads. AWS Graviton-based Amazon EC2 instances use up to 60% less energy than comparable EC2 instances for the same performance. They also provide the best price performance for cloud workloads running on Amazon EC2.

In this workshop, you will learn how to provision, manage, and maintain your Kubernetes clusters with Amazon Elastic Kubernetes Service (Amazon EKS) scaling optimally using Karpenter. Karpenter is a node lifecycle management solution used to scale your Kubernetes cluster. Karpenter observes incoming pods and launches the right-sized Amazon EC2 Instance appropriately for the workload. Instance selection decisions are intent based and driven by the specification of incoming pods, including resource requests and scheduling constraints.

In this workshop, you will learn how to create, configure, and test dual-stack VPC, dual-stack and IPv6-only subnets and how to launch IPv6 resources within it. You will also learn how to expose Internet-facing applications using Application Load Balancer (ALB) or Network Load Balancer (NLB) and build end-to-end connectivity using IPv6.

In this hands-on workshop you will learn how to streamline single sign-on experience for workforce users to perform interactive analytics with fine grained access controls. You will work on a use case to analyze the top trending products based on the data available in data lake. You will configure AWS IAM Identity Center to create users and groups, AWS Lake Formation to implement fine grained access controls and Amazon EMR to run your analytics queries and identify the top trending products. Finally, you will audit data access for compliance. As part of building this use case, you will learn about AWS IAM Identity Center and it feature Trusted Identity Propagation that enables this experience.

This workshop is designed to introduce participants to IAM Roles Anywhere advanced features such as fine grained authentication and authorisation using certificate fields for ABAC, combined with IAM Unused Access Analyzer to implement least privilege to show how they can migrate from static (and overly permissioned) credentials to properly scoped IAM roles for modern machine-to-machine access

Do you have workloads running on EKS that need to access other AWS services? This session is for you. Amazon EKS provides two ways to grant AWS Identity and Access Management permissions to workloads that run in Amazon EKS clusters: IAM roles for service accounts, and the newer EKS Pod Identities. In this workshop, you will learn about the differences and best practices of these two, while getting hands-on on how to configure them.

In this workshop, you will learn how to leverage the new Terraform Testing Framework introduced in v1.6.0 to perform manual as well as automated unit, integration, and security tests for your Terraform projects. You will then learn how to build a basic Terraform CI/CD pipeline on AWS to automate these tests and deploy your infrastructure safely and securely.

Learn how GitHub Actions can automatically validate and analyze IAM policies when permitting developer policy authoring abilities without compromising security.

This workshop gives you hands-on experience working with Agents for Amazon Bedrock, the easiest way to create Generative AI applications. It provides examples of how to connect with existent APIs and Knowledge Bases. It cover various topics from action group definition with Lambda execution or Return of Control, Knowledge Bases Integration, Session State definition and Advanced Prompts.

This workshop gives you hands-on experience on Amazon Bedrock, the easiest way to build and scale generative AI applications with foundation models. It provides examples for prompt engineering, text generation, Knowledge Bases for Amazon Bedrock and RAG, model customization, image and multi-modal applications, Agents for Amazon Bedrock and Open source integration with Amazon Bedrock.

In this workshop, you will build a sample generative AI document chatbot app on AWS using Amazon Bedrock and Generative AI CDK Constructs. You will learn the common infrastructure patterns for generative AI apps on AWS, and take advantage of the AWS CDK (Cloud Development Kit) to easily deploy the required architecture while avoiding the undifferentiated heavy lifting of reinventing common architectural patterns from scratch.

As governments and standards bodies develop data protection and privacy regulations, organizations increasingly need to combine the use of generative AI tooling in the cloud with regulated data that needs to remain on premises to meet data sovereignty requirements. In this builders’ session, learn how to extend Agents for Amazon Bedrock to hybrid and edge services like AWS Outposts and AWS Local Zones to build distributed Retrieval Augmented Generation (RAG) applications with on-premises data for improved model outcomes.

Learn to integrate a Generative AI and Large Language Model (LLM) to improve the user's experience to get insight from their business data stored in SAP HANA Cloud. We will use Amazon Bedrock, Python language, Langchain, PandasAI and SQLAlchemy to orchestrate this solution.

This workshop is designed to inspire and educate professionals in the industry, attendees will learn best practices for leveraging the vast potential of generative AI models and use of and GenAI in Predictive maintenance, root cause analysis of equipments using manufacturer specs, generate shift handover report, analyzing RFP documents, disappearing workforce and unlocking new opportunities.

Through a captivating real-world business use case, participants will witness firsthand how generative AI can redefine the way you approach problem-solving and innovation. This workshop consists of step-by-step comprehensive guides and presentation material detailing how they might use generative AI to solve real business problems.

This workshop will help you learn how to use Amazon Q Developer to write more secure code and reduce the number of security findings present in it. Amazon Q Developer is an AI coding companion that provides suggestions for code snippets & full code generation based on the context of your file, function & variable names, and comments. It is powered by machine learning and trained on billions of lines of AWS & other open source code.

Step into the next generation of developer experience powered by Amazon Q a generative AI–powered assistant. This workshop is designed to teach you how to effectively use Amazon Q to assist in coding, debugging, and enhancing your data analytics capabilities.

This workshop will provide hands-on experience to use Payment Galaxy (Finzly’s payment hub) on AWS to connect to FedNow and RTP networks to provide instant payment services between bank accounts.

In this workshop, you create a basic, serverless application that uses Amazon Polly to convert text to speech. The application has a simple user interface that accepts text in many different languages and then converts it into audio files that you can play from a web browser. Amazon Polly turns text into life-like speech. It lets you create applications that talk naturally, enabling you to build entirely new categories of speech-enabled products. Amazon Polly is an Amazon AI service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice. It currently includes dozens of lifelike voices in over 20 languages, so you can select the ideal voice and build speech-enabled applications that work in many different countries.

SMART-on-FHIR enabled AWS HealthLake data store allows FHIR compliant applications to access data stored in a HealthLake data store. HealthLake data is accessed by authenticating and authorizing requests using an authorization server. In this workshop, we showcase how to secure the FHIR API access to a SMART-on-FHIR enabled HealthLake data store with two IdP solutions: native AWS service - Amazon Cognito user pool - and an open source solution - Keycloak.

This workshop familiarizes attendees with AWS Payment Cryptography service and demonstrates how to use the service for common FSI use cases related payments acceptance.

This module is part of the Amazon Connect CTI Adapter for Salesforce workshop series and focuses on integrating with data residing with a Salesforce organization.

Part of Amazon Connect CTI Adapter for Salesforce Series, provides design and architectural insights into Amazon Connect integration with Salesforce using CTI adaptor

An introduction to Amazon Connect and Salesforce with a focus on the Amazon Connect CTI Adapter for Salesforce. This workshop module is a prerequisite for the remaining Amazon Connect CTI Adapter for Salesforce Series modules.

This workshop will detail different tagging options in Amazon Web Services (AWS). The goal of this workshop is to walk through the various ways in which you can tag AWS resources & query said tags. By the end of this workshop you would have an understanding on how to tag, and govern the tags of different AWS resources.

In this comprehensive workshop, you'll gain the skills and knowledge needed to design, test, and refine prompts that optimize Anthropic Claude's performance for your specific use case. This workshop will guide you through a structured, test-driven approach to prompt development, equipping you with the tools and techniques to achieve unparalleled results.

Learn to build generative AI applications using PartyRock and Amazon Bedrock. Gain skills in prompt engineering and using the Bedrock API. We will also explore how to 'chat with your documents' through knowledge bases, retrieval augmented generation (RAG), embeddings, and agents. We will also use next generation developer tools Amazon Q and Amazon CodeWhisperer to assist in coding and debugging.

Learn how to use CodeWhisperer to write more secure code and reduce the number of security findings present in it. CodeWhisperer is an AI coding companion that provides suggestions for code snippets & full code generation based on the context of your file, function & variable names, and comments. It is powered by machine learning and trained on billions of lines of AWS & other open source code.

Learn the methodology to identify, design and implement security controls for your AWS Accounts

In this workshop you will learn how can you automate incident response tasks using AWS Lambda.

A workshop to help users build a well architected Infrastructure as Code stack using Terraform and CDK, and ECS Blueprints to provision and deploy complete ECS solutions following best practices. We walk you through the baseline setup of an ECS cluster and gradually add load balancing, auto-scaling, self-healing, observability, security, and cost efficiency.

In this workshop, you will learn the how to build enterprise Java application using CodeWhisperer. You will be developing a moderately complex micro services application which will help you understand how you can use CodeWhisperer in real life projects. This workshop doesn't stop just at code generation but lets you integrate with multiple AWS services and test the application end to end.

Service discovery plays a crucial role in building resilient and scalable microservices. Amazon ECS with AWS Fargate offers multiple service discovery options, each with its own unique features and trade-offs. In this workshop, dive deep into the various service discovery options available, providing a comparative analysis to help you make informed decisions. Explore Amazon ECS Service Connect, AWS Cloud Map, and Application Load Balancer, considering their benefits, limitations, and use cases.

In this 2 hours workshop, you’ll learn how to leverage infrastructure as code (IaC) and DevSecOps to automate, scale, and improve the security posture of your cloud infrastructure. We’ll create a pipeline that provides frequent, easy-to-digest improvements to ensure our configurations are secure and compliant from the build-time to runtime

Get hands on with Quicksight to build a custom Security Dashboard using Security Hub for the AWS environment

This workshop focuses on accelerating Advertising and Marketing Industry usecases by applying AWS Generative AI and Machine Learning services. The workshop has modules focusing on - Advertising Moodboard Generation using AIML services - Ad Copy Generation using AIML services

The AWS Serverless Developer Experience (SDE) workshop is a 400-level workshop that provides customers with an immersive experience of a serverless developer. Gain hands-on experience building a serverless solutions using the AWS Serverless Application Model (AWS SAM) and AWS SAM CLI.

In this workshop, you will learn how to set up and use Amazon Simple Email Service (SES) to send secure and successful emails. You will learn how to configure SES settings, send personalized emails, manage email sending, use advanced features, secure emails, and troubleshoot common issues. The workshop will provide a scenario-based approach to help you understand how to use SES in real-life situations.

Build well-architected refactored mainframe applications on the AWS Cloud using AWS Mainframe Modernization Service

In this workshop, participants will gain insights into the RAG technique and acquire the skills to construct a chatbot. This chatbot allows users to pose questions, bot utilizing a Foundation Model (FM) using Amazon Bedrock, responds based on pre-indexed content with choice of large language model (LLM). Amazon Bedrock is a fully managed service, offering access to foundation models from Amazon and leading AI startups through an API. This allows users to select from a range of FMs, tailoring the model to their specific use case. For the storage, indexing, and retrieval of content, the workshop incorporates Amazon Kendra an intelligent enterprise search service powered by machine learning. To execute the application code in an event-driven manner, AWS Lambda is employed as the serverless compute. Lastly, the solution integrates the LangChain agent to orchestrate the RAG flow.

This workshop demonstrates the use open source tools used by the AWS Customer Incident Response Team (CIRT)

This workshop simulates a common type of security event where IAM credentials are discovered and utilized by an unauthorized user, and walks through some of the detection processes employed by the AWS CIRT (Customer Incident Response Team) to respond to such security events.

This workshop simulates unauthorized data deletion events on an Amazon S3 bucket and walks through some of the detection mechanisms employed by the AWS CIRT (Customer Incident Response Team) to respond to such security events.

This workshop simulates a common type of security event where CloudFormation is used to create EC2 instances for the purposes of mining cryptocurrency, and walks through some of the detection processes employed by the AWS CIRT (Customer Incident Response Team) to respond to such security events.

This workshop simulates the unauthorized use of a web application that is vulnerable to SSRF (Server Side Request Forgery) and is hosted on an AWS EC2 instance configured to use IMDSv1. The workshop then walks through some of the detection and response mechanisms employed by the AWS CIRT (Customer Incident Response Team).

This workshop simulates unauthorized data deletion events on an Amazon RDS instance and walks through some of the detection mechanisms employed by the AWS CIRT (Customer Incident Response Team) to respond to such security events.

InsuranceLake is solution accelerator which helps you deploy ETL processes and data storage resources to create a serverless fit-for-purpose data lake for the Insurance industry. Participants will clone the public Github repository, deploy the CDK stack using Cloud9, and practice performing typical Insurance data transforms on sample written premium data.

A workshop to deploy an Amplify application for a leaderboard for physical DeepRacer events

A walk-through how the DeepRacer physical car works with ROS2 to orchestrate its functionality, and a guide to deploying Greengrass components to a physical DeepRacer car. This leverages the core DeepRacer car services and deploys additional services that will allow you to connect your car to the cloud for image processing, data analytics, and cloud-based racing control.

This workshop demonstrates the ability to configure a full suite of Agent Enablement capabilities on Amazon Connect including Wisdom, Cases, Profiles, Step-by-Step Guides, and Voice ID.

In this workshop you will learn how to manage changing energy demands for properties equipped with renewable energy assets using a digital twin.

In this workshop, you will learn how to enable automated anomaly detection in AWS IoT SiteWise with the new integration with Amazon Lookout for Equipment and reduce equipment downtime.

This workshop will give you the baseline strategies to organize, monitor, analyze, and take control of your resources. You’ll get hands-on with resource tagging, CUR reports, build dashboard using Amazon Quicksight and identify usage patterns using Amazon CloudWatch, and take actions using AWS Lambda & Amazon EventBridge scheduler.

A workshop on how to deploy a chatbot using Opensearch Serverless and Amazon Bedrock

AnyOrganization (AnyO), a fictitious charity looking to make life better for all, is ready to modernize its Microsoft-based application. In this workshop, you are an AnyO builder. We'll introduce you to tools and services you can use to streamline AnyO’s modernization journey.

Dive deep on how Amazon Cognito issued tokens authorize access to APIs and AWS resources. A custom web application explores the structure of JSON Web Tokens (JWTs), including header, payload, and signature verification. Cognito JWTs are exchanged for IAM Temporary Security Credentials or passed to Amazon Verified Permissions in separate workflows authorizing retrieval of Amazon S3 objects. Cognito users are representative of a multi-tenant SaaS solution. Stack deployed via CDK.

The intent of this workshop is to educate users about the use of Graviton processor with AWS container services and architectures. In the labs you will build multi-architecture container images using native builds and Docker buildx, run EKS with Karpenter and amd64 and introduce Graviton as part of the fleet, run ECS with amd64 and introduce Graviton as part of the fleet, create a pipeline to build multi-architecture container images with Jenkins.

A workshop to show how to leverages AWS Entity Resolution to perform entity resolution for patient records stored in AWS HealthLake data store.

In this workshop, we show you how to get started with managing and using your JupyterLab virtual computer in Amazon Lightsail for Research (LfR). You will perform the following steps: - Create standard CPU and/or GPU-enabled virtual computer(s) using JupyterLab application in LfR. - Launch the JupyterLab instances - Fine-tune an image classification model with an AWS open dataset on a Jupyter notebook - Clean up the resources from your account

GitOps is an operational framework that takes DevOps best practices used for application development such as version control, collaboration, compliance, and CI/CD, and applies them to infrastructure automation. For SaaS applications, in which software providers are responsible for delivering and operating customer workloads, GitOps is a powerful strategy that can be used to automate tenant resource provisioning, and deployment of new application versions.

Deploy Stable Diffusion models and fine-tune vision transformers in AWS Inferentia2 or Trainium hosted by EC2 instance

AWS Inferentia2 is a purpose-built ML accelerator and ideal for LLMs inference providing high performance at up to 40% lower cost per inference. In this workshop, you will gain practical experience of how to deploy LLMs at scale on AWS Inferentia2 using Amazon SageMaker Endpoint and Amazon Elastic Kubernetes Service (EKS). You will learn the best-practices and model serving options for LLM inference to achieve great performance and lower costs.

Build an end-to-end data pipeline using Amazon Redshift, dbt, and Airflow.

This workshop uses Amazon Bedrock to enrich an existing retail web application with generative AI features. Through these exercises, you will gain experience with integrating Amazon Bedrock into your application and use text-to-text and text-to-image Foundation Models to perform tasks such as drafting product descriptions, summarizing customer reviews, generating creative design ideas, answering questions and performing similarity search.

The integration of embeddings generated from LLMs for Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS for PostgreSQL presents a powerful and efficient solution for optimizing the product catalog search experience. LLMs and vector embeddings help businesses enhance the accuracy and speed of similarity searches by using Retrieval Augmented Generation (RAG). In this workshop, build your own generative AI applications with Amazon Bedrock using Aurora PostgreSQL as your vector database.

Smart video cameras are everywhere—in homes for security, in cars for driving assistance, and in factories for anomaly detection. However, using video data can be challenging because it is often not searchable and may require time-consuming manual analysis. In this workshop, you'll learn how to use Amazon Kinesis Video Streams (Amazon KVS) to ingest data from your laptop camera, Amazon Rekognition to analyze the video, and Amazon OpenSearch Service to index the inferences. Learn how to make specific objects searchable in the recorded video and get timestamps of their occurrence.

This workshop covers all S3-native data protection and resilience features. Level 2-300, with 3-400 'extra credit' sections for those wanting to dive deeper. Covers S3 Versioning, S3 Object Lock, S3 Replication, S3 Multi-Region Access Points (including cross-account). The majority of time is spent at the command line.

This workshop introduces AWS Fault Injection Service (FIS) for running resilience experiments to improve application performance, observability, and resilience. It covers the concepts of chaos engineering, commonly referred to as resilience testing. Resilience experiments can be performed using both manual and automated techniques. The workshop focuses on using FIS to manually inject faults in a controlled and Ad-Hoc manner to understand application behavior and improve resilience.

In this hands-on workshop, learn about tools and techniques that can help you build a cost allocation strategy, analyze spend and allocate your shared costs to the teams and applications that utilize them using Tag Editor, AWS Cost and Usage Report, and Amazon Athena. Explore how to improve cost visibility of your ECS workloads with split cost allocation data, and learn how to visualize the results of your CUR queries by building Amazon QuickSight dashboards.

In the current economic climate, customers are looking for ways to optimize their AWS spend, which includes containers as well. The purpose of the Finhack for ECS is to introduce series of labs that enables customers to understand what levers they have to optimize their compute and operational costs tied to their container infrastructure.

AWS Trusted Advisor provides recommendations that help you follow AWS best practices and optimize your AWS services and resources. Join this workshop to learn how to scale, drive consistency, save time, and improve operational excellence across your AWS environments. Build an automation that remediates AWS Trusted Advisor recommendations across the areas of security, resilience, performance, and cost optimization.

re:Invent 23023 session AUT301 Automotive software development: The virtual engineering workbench

In this workshop you will learn how to use Amazon SageMaker to fine-tune a pretrained Hugging Face LLM using AWS Trainium accelerators, and then leverage the fine-tuned model for inference on AWS Inferentia. Fine-tuning will be achieved using the Optimum Neuron library. This workshop was originally offered as CMP325 during re:Invent 2023

In this workshop you will build a fully functioning Web3 application, and will learn about: simplifying wallet UX with Ethereum Account Abstraction wallets creating CI/CD pipelines for developing Smart Contracts indexing and analyzing blockchain data with the Graph integrating Generative AI artwork into an NFT application storing media on decentralized file storage on IPFS

Learn how to integrate MongoDB Atlas with the AWS Modern Data Platform to derive business insights and train ML-based solutions.

Build a bespoke web application from scratch to visualise IoT SiteWise data using AWS IoT AppKit.

This workshop covers Application deployment (both runtime and infrastructure services) and Addons management in a multi-cluster scenario, where a single Argo CD (hub) cluster manages the deployment to all other workload clusters (spokes) in the organization

AWS Nitro Enclaves provides an isolated compute environment to protect and securely process highly sensitive data such as private keys for blockchain operations. In this workshop, you will learn how to deploy Nitro wallet stack using AWS CDK, configure KMS policy for cryptographic attestation and sign an Ethereum EIP-1559 transaction using Nitro Enclaves.

This workshop detects interesting events in Amazon MSK using Managed Service for Apache Flink Studio

The workshop will be based around an Amazon VPC architecture; you will work through a series of scenario-based challenges, each of which are based on real-world situations. Each challenge (or 'lab') will provide an objective and starting point, as well as suggested services. You will have the opportunity to solve the challenge around AWS Network Firewall, AWS WAF, AWS Gateway Loadblanacer

Unifying your data is a key first step to get to analytics and machine learning insights. But, it can be difficult to build custom data management pipelines and code to prepare your data for analytics. Learn how AWS integrates data services so that data flows from one system to another seamlessly.

Building with a serverless mindset focuses on business value. You can derive more value by using built-in integrations between AWS services set up through configuration than by writing glue code. This hands-on session explores patterns for using direct service integrations using Amazon API Gateway, AWS Step Functions, and Amazon EventBridge. Discover the efficiency of utilizing configuration to streamline development tasks and push the heavy-lifting to AWS.

This workshop will show you how to use OpenSearch vector database capabilities to build semantic search, Neural Search, Hybrid Search, Conversational Search.

Amazon OpenSearch Service provides an integrated vector database that can support AI systems. Using OpenSearch Service as a vector database brings in the power of vector, neural, kNN, and semantic search to retrieve contextually similar documents for any search query, improving search accuracy and customer satisfaction. With OpenSearch vector database functionality, you can also incorporate enterprise knowledge base with LLM to build factual generative AI applications. In this workshop we will deploy LLMs, use OpenSearch Service’s vector search capability to retrieve relevant content and feed into LLMs, and show how those results can be used to power gen AI apps.

Serverless applications are built using many services in a few common architecture patterns. Although customer scenarios are unique, the patterns emerge again and again. In this workshop, you will learn serverless best practices by building production-ready code for an application.

Proactively addressing customer concern in real-time with GenAI, Flink, Kafka, and Kinesis

In this workshop, explore successful design templates for architecting and deploying applications at the edge. Dive deep into successful reference patterns as well as business drivers and best practices for deploying edge applications with AWS services like AWS Local Zones and AWS Wavelength Zones. Discover how to deploy a real-time online game, hybrid cloud financial service application, and Industrial IoT digital twin to the edge.

In this workshop you will utilize a hardware tracker device connected via Amazon Sidewalk to place your location on a map powered by Amazon Location Service.

In this workshop, you will create microservices that cover a broad spectrum of multi-tenant use cases and implementation strategies. After completing this workshop, you will have a good understanding of the specific challenges multi-tenancy brings to building microservices, and of the patterns and design strategies you can use to overcome these challenges using containers and Amazon Elastic Kubernetes Service (Amazon EKS).

This workshop is aimed at providing a hands-on experience for software engineers, quality assurance engineers, software testers, platform engineers and architects to get started with using AWS Device Farm to test their mobile applications on real physical devices.

Due to lack of time/resources, DevSecOps Engineers are often not able to triage quickly enough. What if you had a chatbot customized for your environment’s use case? This would help you find a solution quickly and give you back valuable development hours. With more time on your hands, you can rapidly innovate for your business. In this workshop, we will demonstrate how you can create a chatbot using AI-powered AWS services that will help engineers solve common challenges like how to securely store your application’s secrets or how to create a new Disaster Recovery environment.

In today’s data-driven world, businesses are constantly seeking ways to harness the power of data to gain insights, make informed decisions, and stay ahead of the competition. However, setting up a data lake traditionally requires technical expertise and extensive coding knowledge. Enter the era of low-code/no-code data lakes, offering a fast start for businesses to tap into the potential of their data without the need for complex coding. In this session, explore a sample architecture that shows how AWS lowers the barrier to entry for creating and using a data lake solution.

This workshop demonstrates how to continually integrate, continually deploy, and continuously tune a generative AI application using Large Language Model Operations (LLMOps) on AWS.

Workshop for PyTorch Best Practices for Generative AI & Large Language Model Inference Architecture on Amazon EKS. GitHub Source code repo: https://github.com/aws-solutions-library-samples/guidance-for-machine-learning-inference-on-aws

In this workshop we'll explore how to simplify the process of selecting the right tools to mitigate your data protection risks. We'll kick off the data protection lifecycle by conducting a risk assessment and then explore Cloud Native capabilities to protect sensitive data at scale. We'll help you learn how to achieve your PCI, HIPAA and GDPR compliance and data protection requirements using services including Amazon Macie, Amazon EventBridge, AWS Step Functions, AWS Lambda, AWS Config and AWS Audit Manager.

This is an introductory workshop on getting started with Visual Asset Management System(VAMS). This workshop will introduce the fundamental building blocks of VAMS. By the end of this workshop users would have learned to deploy VAMS, uploading assets to VAMS, create VAMS Pipelines and Workflows and deleting VAMS from their AWS Accounts

In this workshop, we will walk through Bedrock fundamentals, including the API, prompt engineering techniques, privacy capabilities, and end-to-end Generative AI application-building experience. Come away with a generative AI application ready to be deployed in your business.

Many organizations choose to build event-driven application architectures in which subscribers or target services automatically perform in response to events triggered by publisher or source services. This pattern can help development teams operate more independently to release new features faster and make their applications more scalable. In this workshop, learn about the basics of event-driven design using examples involving Amazon SNS, Amazon SQS, AWS Lambda, Amazon EventBridge, and more. Find out how to choose the right AWS service for the job and how you can optimize cost and performance. You must bring your laptop to participate.

Amazon SageMaker HyperPod offers advanced training tools to help you accelerate scalable, reliable, and secure generative AI application development. In this session, experience how to train a large language model (LLM) in diverse, representative data and learn how to utilize the latest SageMaker model training tools to troubleshoot convergence issues and improve the model performance. You must bring your laptop to participate.

This workshop is designed to get you familiar with the concepts and best practices for effectively and efficiently scaling Amazon EC2 capacity using Amazon EC2 Auto Scaling and its features, including predictive scaling and warm pools.

This workshop illustrates the basic concepts and functionality of AWS Batch, including building Docker containers, uploading them to Amazon ECR, setting up AWS Batch to run simple jobs, array jobs, define job dependencies and using Batch with EC2 Spot

Join this workshop to learn how you can access resources in your VPC privately without having to deploy an internet gateway and connect your resources to the internet. Learn by setting up different connectivity options like AWS Verified Access, Amazon EC2 Instance Connect endpoint, and AWS Client VPN to access resources inside your VPC.

In this workshop, choose your preferred domain (Compute/Networking, Databases, Containers and Serverless/DevOps), and then work on triaging an issue using techniques and best practices shared during the session. Come learn how to securely approach troubleshooting at scale on AWS. You must bring your laptop to participate.

This workshop will guide you step-by-step through the deployment of the AWS Game Backend Framework. You will also get to test your deployment end-to-end, and can optionally try out the integrations with popular game engines including Unity, Unreal, and Godot. You will learn how to leverage AWS Cloud9 to easily deploy infrastructure with the AWS Cloud Development Kit (CDK).

This workshop provides you with step by step instruction on using AWS Step Functions to process large scale data in a distributed fashion. Learn how to process millions of data without using servers

Learn testing patterns for serverless, event-driven applications

Understanding how to build effective Identity and Access Management (IAM) policies is an important skill for everyone building on AWS as policies determine who can access what in your AWS account. In this workshop, you will learn how to write different types of IAM policies and implement access controls on principals and resources, using conditions to scope down access.

In this workshop, we introduce you to Microsoft services on AWS by building a multi-tier web application using the AWS Console

TIn this workshop, learn best practices for cost and sustainability optimization. Shift costs and sustainability responsibilities from the Cloud Center of Excellence (CCoE) to end users and application owners aided by automation and monitoring at scale. You will leverage AWS services designed to optimize your infrastructure and your workloads with the aid of AI/ML algorithms to detect anomalies.

Learn how to assess operational readiness and resilience and quickly react to events using example workloads based on real-world scenarios. In this workshop, use AWS best practices, including the AWS Infrastructure Event Management (IEM) process and the AWS Well-Architected Framework, to identify and mitigate risks and operational issues. Discover how to plan for a successful launch and implement an effective observability, including CloudWatch anomaly detection leveraging statistical and AI/ML

A 400+ level Developer Experience workshop covering: - Simple & complex prompts - AWS services (DynamoDB, S3, SQS) - Class creation - Fake Data - SQL Generation - Regular expressions - Unit Testing - End to end solutions - Amazon Q Developer For the following languages: - Python - JavaScript - TypeScript - Java

This workshop is designed to provide an overview of AWS healthScribe with hands-on lab approach.

Workshop for Kubernetes on AWS with Rancher. Includes deploying Rancher clusters and workload clusters, as well as integrations with various AWS Services.

Discover the exciting world of cloud-connected robots. Join this workshop to embark on a journey to connect a robot puppy to the cloud using AWS IoT Core. Unleash your creativity as you deploy cutting-edge software to these mechanical marvels using AWS IoT Greengrass. Engage in playful banter with your robotic friend and witness its dance moves choreographed by generative AI. You must bring your laptop to participate.

Learn how to set up an Inspection VPC using AWS Gateway Load Balancer, Transit Gateway, and third-party firewalls such as Cisco, Fortinet, and more.

Use AWS IoT services and Espressif RainMaker to build, control and manage Matter smart home devices for the next generation.

Learn how to build a resilient and global SMS program using Amazon Pinpoint's SMS and Voice V2 API.

This workshop introduces how to use AWS AppFabric that quickly connects SaaS applications across the organization, so IT and security teams can easily manage and secure applications using a standard schema and use Amazon Athena to query for data across applications and use Amazon Quicksight for quick visualization.

This is a generative AI on AWS workshop for various content types like documents, audio files, video files, CSV, SQL database, application logs, among others.

The focus of this workshop is to gain hands-on experience with the 'Amazon FinSpace Managed kdb Insights' service and its constructs. We will walk through the set up of migrating sample historic data located in Amazon S3 to Managed kdb environment. The goal is to set-up the managed kdb service and query the historic data from a Q client.

Within this series of labs, you’ll explore some of the most common usage patterns we are seeing with our customers for Generative AI. We will show techniques for generating text and images, creating value for organizations by improving productivity. This is achieved by leveraging foundation models to help in composing emails, summarizing text, answering questions, building chatbots, and creating images. You will gain hands-on experience implementing these patterns via Bedrock APIs and SDKs, as well as open-source software like LangChain and FAISS

Cloud Intelligence Dashboards is AWS Well Architected lab which allows customers to deploy a collection of Amazon QuickSight dashboards as a self service tool which provide a comprehensive cost and usage visibility, operational insights and actionable recommendations

As the AWS Network infrastructure grows and becomes more complex over time, in addition with the need to develop and modernize applications at high speed, the need to operate and modernize those networks at the same speed is key. How to get this without harming the security requirements? By applying NetDevOps practices. This workshop will give you an overview on what NetDevOps is, its components, and the cultural changes when migrating to these practices.

In this workshop, you will learn about Amazon Cognito User Pools, Identity Pools, the Cognito SDK usage, Machine-to-Machine authentication, SAML SSO, Passwordless integration, Migrating to Cognito, Amazon Verified Permissions integration, and how to secure Cognito. After completing the first lab, most of these labs can be executed on their own, allowing you to choose which labs to do based on your learning requirements.

This workshop enables participants to build simple generative AI demo applications while learning key concepts. Labs include chatbots, retrieval-augmented generation, image generation, document summarization, data extraction, streaming responses, and prompt engineering. User interfaces are built using Streamlit. The labs are designed for builders with no previous data science experience. To run this workshop, you'll need access to an AWS account with Bedrock activated.

One Media Workshop provides a prescriptive, 100-400 level modular learning experience focusing on AWS Media Services, solutions for popular workloads, and advanced modules covering complex use cases.

As more Independent Software Vendors (ISVs) adopt a Software as a Service (SaaS) delivery model the demands placed on their identity solution become more important as they deal with multi-tenant users and compliance controls. This workshop will help in demystifying application identity access management by presenting different authentication problems commonly encountered by ISVs and how AWS & Partner solutions can solve these problems.

In this workshop we introduce you to the Cloud Intelligence Dashboard for Azure, a solution that allows you to create Azure cost visualizations and reports using Amazon QuickSight's intuitive drag-and-drop functionality. We’ll provide an overview of the solution and step by step instructions so you can test it out in your own AWS account.

In this workshop, you will learn about Amazon Verified Permissions, how to create Cedar policies, Amazon Cognito and API Gateway Integration, and how to troubleshoot policies. This is the primary Verified Permissions workshop and will include additional labs as they are developed.

AWS App Runner is a fully managed container application service that lets you build, deploy, and run containerized web applications and API services without prior infrastructure or container experience. This workshop explores the features of App Runner and other integrated services.

This workshop is designed to help you to get started with using Mendix Low Code Application Development Platform (LCAP) and AWS services like AWS IoT TwinMaker, Amazon Kinesis Video Streams and AWS IoT SiteWise. It contains all the required modules to make it easy for you to build and deploy a Lean Daily Management (LDM) application. No coding/programming experience is required.

Hands-on workshop for architects, infrastructure specialists and developers to learn about how to maintain the lifecycle of SUSE Linux Enterprise Servers (SLES) & SUSE Linux Enterprise Servers for SAP (SLES4SAP) on AWS

In this workshop, you will learn the basics of Terraform including concepts such as Resources, Data Sources, Variables, Outputs, Providers, Modules, and more. You will then leverage that knowledge to deploy a simple Wordpress application into AWS.

AWS, open-source, and partner tooling can be used together to accelerate your software development lifecycle. In this workshop, learn how to use Automated Security Helper (ASH), an open-source application security tool, to quickly integrate various security testing tools into your software build and deployment flows. https://github.com/aws-samples/automated-security-helper

In this workshop, you will learn how to set up a virtual workstation for NVIDIA Omniverse on AWS. An Omniverse virtual workstation allows users the ability to create or provision a virtual machine with graphical capabilities with AWS, eliminating the need to run Omniverse applications locally on an RTX enabled desktop or laptop computer.

Learn how to use AWS services to detect unused IAM permissions and ways you can update them to safely move toward a least privilege environment. Discover relevant features of last-accessed information, and use automation to continuously analyze unused IAM permissions.

Cedar is a language for defining permissions as policies that describe who should have access to what. Amazon Verified Permissions and AWS Verified Access use Cedar to define fine-grained permissions for applications and end users. In this workshop, learn by building Cedar policies for access control.

In this workshop we will learn how create a centralized containers monitoring from any kubernetes cluster to Amazon Managed Service for Prometheus. This workshop included: AWS Distro for Opentelemetry Introduction Amazon Managed Service for Prometheus and Amazon Managed Service for Grafana for Terraform. Minikube Integration Example (Simulating OnPrem or Another Cloud Provider environment) IAM Role Anywhere integrated with Sigv4 Proxy Opentelemetry Collector for Prometheus.

AWS Client VPN is a fully-managed remote access VPN solution used by your remote workforce to securely access resources within both AWS and your on-premises network. Fully elastic, it automatically scales up, or down, based on demand. When migrating applications to AWS, your users access them the same way before, during, and after the move. AWS Client VPN, including the software client, supports the OpenVPN protocol.

This workshop will walk through how to build a pipeline that will send spark and node metrics (jobs/stages/cpu/memory) from EMR clusters to an off-cluster time-series database and then use Grafana to view dashboards.

In this workshop, learn the fundamentals of AWS Wavelength alongside a step-by-step guide to deploying your first application at the network edge. Moreover, learn how to measure application performance and troubleshoot popular FAQs and configurations.

In this workshop you learn about the fundamentals of EC2 Spot Instances and recommended tools to launch Spot Instances, test for resiliency, and view pricing history.