AWS Community Day 2019 Agenda/Schedule

Track 1 – 2019

Track 2 – 2019

Track 3 – 2019

Track 4 – 2019

Track 1 – 2024

  • Registration – 2024

  • Keynote: Why does everyone keep talking about Generative AI?


  • Break

  • How Not to do a Cloud Migration

    Presenter: Drake Lundstrom

    Abstract: Cloud migrations can improve your products while saving your company money, if done well. Unfortunately, they often aren’t. This talk will cover common mistakes on the journey of migrating to the cloud and how to avoid them. It will be covering concepts at a high level, rather than diving deep into any specific services.

    AWS Services: It will be covering concepts at a high level, rather than diving deep into any specific services.

    Audience: Business Focused

  • Exploring Amazon Security Lake for Real Risk Quantification and Prioritization Across Your AWS Environment!!

    Presenter: Dakota Riley

    Abstract: Modern cloud security requires tangling with a variety of data sources, from cloud misconfiguration findings, vulnerabilities, threat detection findings, and other types of tooling! Each of these tools tend to provide a piece of your organizations security posture, but often need context from other tools or environments to give the full picture of actual risks. In this talk, we will cover:
    The general concept of a Security Data Lake, and what kind of questions can we answer with it
    The landscape of security tools both within AWS and typical enterprise cloud environments
    Industry challenges with security data, tied in with AWS Security Tooling
    An overview of the Open Cybersecurity Schema Framework (OCSF), the open source security data schema utilized by Amazon Security Lake
    A quick overview of the workings of Amazon Security Lake
    Applying Amazon Security Lake to risk quantification usecases with real world customizations and examples!

    AWS Services: Amazon Security Lake, Athena, Inspector, GuardDuty, SecurityHub

    Audience: Advanced

  • Learn about the benefits with examples how to create and maintain DEV, QA, and UAT environments using unique domain names

    Presenter: Angelo Mandato

    Abstract: Take DEV, QA and UAT environments to another level by using unique domain names for each environment. In this session we will go over two environments organized by unique domain names, go over the benefits of using unique domain names for environments, and provide best practices. Examples will demonstrate how to use Systems Manager Parameter Store with CloudFormation to maintain separate Serverless Lambda environments as well as traditional EC2 instances. We will discuss typical costs and cost savings by organizing your environments by domain names and how to right size each environment.

    AWS Services: CloudFormation, Systems Manager Parameter Store, Lambda, API Gateway, CloudFront, EC2, Route53

    Audience: Advanced

  • User desktops in AWS for low latency and graphically intense applications

    Presenter: Mayur Runwal and Steven David

    Abstract: In this session we will review the various approaches to enabling your teams with user desktops in AWS. We will review some common use cases like enterprise scale game testing, cad design and integration with user peripherals like a drawing tablet.
    AWS Services: Ec2, Appstream 2.0, Workspaces

    Audience: Advanced

  • Lunch

  • Step Up Your SaaS Game: Serverless Orchestration and Automation for SaaS

    Presenter: Jason Wadsworth

    Abstract: Discover the power of Step Functions and AppSync to achieve data isolation without traditional Lambda functions, and orchestrate tenant resource management with AWS CDK and CloudFormation. Key Takeaways:

    – Utilize Step Functions with AppSync for data isolation.
    – Orchestrate tenant resource management using Step Functions, CDK, and CloudFormation.
    Join me for insights into enhancing your SaaS architecture with serverless orchestration and automation.”

    AWS Services: Step Functions, AppSync, CDK, CloudFormation, Lambda

    Audience: Advanced

  • GRC Engineering – Automating Compliance Assessments with Audit Manager

    Presenter: Lloyd Evans

    Abstract: Traditional compliance assessments are hard. Most rely on manual, point-in-time checks, especially those in the public sector. Taking these practices and re-engineering them with automated checks significantly reduces compliance burden. To accomplish this, we use a combination of Audit Manager, Config, SecurityHub, and the AWS services our system uses. This approach reduces assessment time and toil and increases data quality.

    AWS Services:Audit Manager, Config, SecurityHub, VPC Flow Logs, CloudTrail

    Audience: Advanced

  • Monitor All Your Stuff with OpenTelemetry and AWS

    Presenter: Christopher M. Judd

    Abstract: In the vast and complex ecosystem of modern cloud applications, ensuring optimal performance and reliability is paramount. However, monitoring such a diverse array of services and resources can be a daunting task. Enter OpenTelemetry and AWS, a powerful combination that offers comprehensive observability solutions. This talk will explore how OpenTelemetry, with its standardized instrumentation and telemetry data collection, seamlessly integrates with AWS services to provide deep insights into your applications and infrastructure. Join us as we delve into the world of observability, showcasing practical examples and best practices for monitoring all your stuff with OpenTelemetry and AWS.

    AWS Services: AWS Distro for OpenTelemetry, ECS, Lambdas, CloudWatch and more…

    Audience: Advanced

  • Leveraging AWS services to streamline compliance

    Presenter: Steve Seaney (Rego Consulting) & Ganesh Prabhu (AWS)

    Abstract: The integration of AWS Well-Architected Tool, cost optimization tool, and Security Hub offers a comprehensive framework for organizations aiming to achieve SOC and ISO compliance. These tools facilitate a systematic evaluation of cloud architectures, enabling the identification and implementation of cost-effective solutions while ensuring that security measures meet industry standards. By incorporating these tools into their compliance review processes, organizations can enhance operational efficiency, uphold stringent compliance standards, mitigate risks, and bolster overall performance. This strategic approach not only aligns with best practices for cloud architecture but also provides a clear pathway for continuous improvement in the ever-evolving landscape of cloud computing.

    AWS Services: Well Architected Tool, Control Tower, Security Hub

    Audience: Business Focused

  • Tagging Compliance: The Tags are Coming!

    Presenter: Jay Kahlon

    Abstract: Why Tagging Compliance is SO Important. How Tagging can be automated, how it can drive efficiencies, enable data driven decision making, and bridge the gap between Finance, IT and the Business. I’ll also go into the successes and failures we’ve experiencing while enabling Tagging Compliance.

    AWS Services: AWS EC2

    Audience: Beginner

  • Maximize Performance and Savings with Comprehensive FinOps AWS Compute Optimizer

    Presenter: Patrick Davies / Rick Miller

    Abstract: Every organization is concerned with getting the most value from their AWS services. A comprehensive FinOps strategy includes discounts, reservations, deleting of dormant resources, and right-sizing existing workloads. Under-provisioned EC2 instances can be a source of poor performance. Over-provisioned EC2 instances incur unnecessary charges. In this talk, I’ll share how Direct Supply is keeping out cloud resources optimized for performance and savings.

    AWS Services: AWS Compute Optimizer

    Audience: Business / beginner

  • We have HOW many Documents? Architecting Modern Document Processing

    Presenter: Drake Pocsatko

    Abstract: Even now in the digital age, many industries still rely on human readable documents to operate. Having dedicated teams to review and process documents is both time consuming and expensive, and the people doing the work certainly aren’t having any fun. With cloud tools, you can architect a modern document processing solution that is entirely serverless, allowing you to increase document flow and dedicate your team members to more valuable tasks. This talk will discuss why document processing is an important automation target, which types of cloud services enable this architecture, cover a real client use cases to show how impactful intelligent processing can be, and end with a short demo processing a document and retrieving relevant data with an API.

    AWS Services: Textract, Comprehend, S3, Lambda, Step functions, SQS, SNS, API Gateway, DynamoDB

    Audience: Advanced

  • Happy Hour

Track 2 – 2024

  • Registration – 2024

  • Keynote: Why does everyone keep talking about Generative AI?


  • Break

  • Automated Application Delivery on AWS using Github Actions

    Presenter: Bob Eisenmann

    Abstract: A 25 min talk on using GitHub and GitHub Actions for Continuous Integration and Continuous Delivery on AWS. Talk will focus on the architecture, configuration, and best practices for this automation.

    AWS Services: AWS Compute, network, and storage resources

    Audience: Advanced

  • Getting Started with AWS SAM: Developing Lambda Functions Locally with Docker, Python, and VSCode

    Presenter: Girish Bhatia

    Abstract: This session will introduce beginners to AWS SAM for local Lambda function development with SAM, Docker, Python, and VSCode. Key points include:
    1. Developing and Debugging Lambda Functions Locally with AWS SAM and VSCode
    2. Setting Up the Development Environment
    3 Use Lambda function developed using Python to return requested data
    4. Implementing Debug Breakpoints for Effective Troubleshooting
    5. Building and Deploying Your Lambda Function

    AWS Services: AWS Lambda, AWS SAM, AWS IAM, AWS S3

    Audience: Beginner

  • SaaS meets AI / ML and generative AI


    Abstract: Supporting AI/ML and generative AI in a SaaS environment requires teams to take on a range of multi-tenant challenges. Providers need to consider how tenants are mapped to models, how inferencing is scaled for tenants, how solutions are integrated with other AI/ML services, and how LLMs are tuned to meet tenant-specific needs. In this session, dig into these intersections between multi-tenancy and AI/ML.

    AWS Services: Amazon Bedrock

    Audience: Advanced

  • Getting Started with Serverless Website Analytics

    Presenter: Chris Ebert

    Abstract: Looking to take control of your website analytics without the hefty costs or complex infrastructure while also controlling your data? “Serverless Website Analytics” is your gateway to a low-cost, efficient, and entirely serverless analytic solution, perfect for both hobby and commercial projects. Join us for an engaging session where we’ll discuss the project, explain how to get started, and provide a live demo. “Serverless Website Analytics” uses several AWS serverless technologies, including Cognito, CloudFront, EventBridge, Lambda, and Event Bridge.

    AWS Services: Cognito, Lambda, DynamoDB, CloudFront, EventBridge

    Audience: Intermediate

  • Lunch

  • Things AWS could learn from Azure (and things it shouldn't)

    Presenter: Andrew May.

    Abstract: As a long time AWS user, I’ve been working on an Azure project for the last year. This has been an opportunity to compare the two platforms and see what each one does best. I’ll talk about some of the things I think AWS could learn from Azure, and some of the things I really hope it never adopts. Areas covered will include resource management, pricing, availability zones and Lambda functions.

    AWS Services: Various

    Audience: Advanced

  • Building Testable Serverless Applications with the Hexagonal Architecture and TypeScript

    Presenter: Jason Butz

    Abstract: Learn how the hexagonal architecture pattern was applied to a serverless microservice to increase the service’s testability, modularity, and accelerate development. Come ready to learn practical techniques you can begin using today in your serverless AWS CDK projects. These techniques were used to develop business-critical event-driven services that handle more than 20k events every month. This talk assumes AWS CDK, Lambda function, and TypeScript knowledge.

    AWS Services: Lambda, CDK, API Gateway

    Audience: Advanced

  • Something on backup and DR – Up and running with AWS Backup

    Presenter: Dave Staffacher


    AWS Services:

    Audience: Beginner

  • AWS Datasync to migrate objects from on-prem to s3

    Presenter: Muthukumaran Ardhanary

    Abstract: Are you worried about the hassle and inefficiency of transferring data between on-premises storage and AWS Storage services? Look no further than AWS DataSync! Its secure online service automates and accelerates the process, allowing you to spend less time worrying about data and focusing more on what matters most to your business. With AWS DataSync, we seamlessly migrated billions of objects, petabytes of data and thousands of buckets from our on-premises storage to Amazon S3. The best part? We customized DataSync to meet our specific needs, ensuring a smooth and efficient transfer. Learn our experience on-prem to AWS S3 object migration, planning, covering best practices, tools and technologies, dos and don’ts, and more.

    AWS Services: AWS Datasync, S3, Lamda, Athena, SQS and Event Bridge

    Audience: Beginner

  • DevOps My AI

    Presenter: David Michels

    Abstract: In the rapidly evolving landscape of machine learning (ML) and artificial intelligence (AI), automating the training, testing, and deployment of large language models is crucial for efficiency and scalability. This presentation delves into creating Gen AI CI/CD pipelines on with AWS, leveraging AWS SageMaker, AWS Bedrock, and AWS S3 services. We’ll outline the essential components of a CI/CD pipeline, and talk about how pipelining AI (especially LLMs) is different than traditional. From there, we will talk about how AWS SageMaker facilitates the development and training of large language models. AWS Bedrock’s role in establishing a secure, compliant, and scalable foundation for ML workloads is discussed, highlighting its integration with CI/CD processes. Any model training requires data so, we demonstrate how AWS S3, serves as the backbone for storing and retrieving model data and artifacts. By the end of this presentation, attendees will have an foundational understanding of implementing Generative AI CI/CD pipelines utilizing AWS services.

    AWS Services: Bedrock, sagemaker, s3

    Audience: Advanced

  • Behind the Scenes of Amazon's Supply Chain & Logistics

    Presenter: Tom Lauducci

    Abstract: moves at hyper speed and unprecedented scale. Innovative offerings like next-day & same-day delivery for 200M+ Prime customers are transforming customer expectations and industry norms. Peek behind the scenes at how AWS powers Amazon’s global supply chain, including a virtual fulfillment center tour. We’ll focus on innovations in advanced analytics, machine learning optimization, robotics & AI, and improving associate experiences. This overview of Amazon’s digital supply chain strategy showcases real production use cases from the world’s largest consumer of cloud computing services and links them directly to the business value they deliver. We’ll close with examples of services that make it easy to get started working on transforming your own customers’ experiences.

    AWS Services: Dozens – SageMaker, Monitron, IoT, DynamoDB, S3, Redshift, Pinpoint, SQS

    Audience: Business Focused

  • Optimize AWS Glue IP addresses & Expand Network with Private NAT

    Presenter: Sushanth Kothapally and Senthil Kamala Rathinam

    Abstract: As enterprises grow, their demand for IP addresses often exceeds what their corporate network can provide. While networks are designed to tackle future needs, evolving enterprises eventually outgrow them. This often possess constraint of running multiple AWS Glue jobs in parallel that require number of database connections. To enable more connections, organizations can obtain additional IP addresses from their corporate pool, either unique or overlapping with the existing network. Overlapping IP addresses require extra network management like private NAT gateways, AWS PrivateLink, or self-managed NAT appliances to establish connectivity. This presentation discusses two strategies to scale AWS Glue jobs within IP-constrained networks:
    Optimize IP address usage by right-sizing Data Processing Units, using AWS Glue Auto Scaling, and fine-tuning jobs
    Expand network capacity by adding a non-routable CIDR range with a private NAT gateway.

    Implementing these strategies allows companies to maximize their use of IP addresses to support more data processing workloads using AWS Glue

    AWS Services: AWS Glue, AWS Transit Gateway, AWS Transit Gateway, Amazon VPC

    Audience: Advanced

  • Happy Hour

Track 3 – 2024

  • Registration – 2024

  • Keynote: Why does everyone keep talking about Generative AI?


  • Break

  • Managing EKS Clusters at Scale using Blueprints and Infrastructure as Code

    Presenter: Julia Furst Morgado

    Abstract: We get it – deploying complex and repeatable Kubernetes clusters with all your favorite configurations, add-ons and applications is difficult, time-consuming and error-prone. Luckily, Amazon EKS Blueprints make this process much easier. The blueprints allow DevOps teams to abstract away the challenges of infrastructure deployment through integrated CI/CD pipelines using simple, consistent code. Meanwhile, operations teams benefit from the simplified deployment of secure, optimized “well-architected” clusters. EKS Blueprints consolidate common Kubernetes tools and best practices like scaling, monitoring, security, and Day 2 tools such as backup and DR into a centralized platform. As a result, developers can reliably leverage Kubernetes across diverse teams and environments in their enterprise. For organizations maintaining clusters across multiple cloud accounts and geographies, using Infrastructure as Code with EKS Blueprints is key to automating standardized deployments with just a single line of configuration code.

    AWS Services: Amazon EKS, AWS CloudFormation, AWS CDK

    Audience: Advanced

  • Clinically-validated, online mental health diagnosis using AI/ML

    Presenter: Nathan Hiscock

    Abstract: Explore the technology and research behind how AWS ML services like Rekognition and Transcribe were applied to give mental health patients online mental health evaluations that meets or exceeds the current gold standard of care.

    Co-presenter: Bill Tarr (SaaS Evangelist, Principal SA, AWS)

    AWS Services: Transcribe, Rekognition,

    Audience: Business Focused

  • Lightning Talks: How to Explain AWS to Non-Technical People / AI Assisted Data Engineering on the AWS Platform / LinkedIn profile and strategies for earning the Top Voice award

    Presenter 1:Justin Wheeler
    Presenter 2:Shirish Joshi
    Presenter 3:Vivekanandhan Muthulingam

    Abstract 1: Struggling to explain your exciting world of AWS to friends and family? This talk tries to eliminate the communication gap between technical audiences and their loved ones. We’ll explore practical analogies to make cloud computing concepts clear and relatable; even to those without a technical background.

    Beyond simply understanding your day-to-day work, this talk empowers you to foster positive connections that extend past the tech industry. Dismantle the myth of tech exclusivity – anyone can grasp the power of the cloud with the right approach.

    This session is perfect for any AWS enthusiasts who would like to:
    * Communicate the value of AWS in an engaging way
    * Bridge the tech talk gap with loved ones
    * Promote a more inclusive image of the tech industry

    Join us and unlock the power of clear communication with the magic of AWS analogies!

    Abstract 2: “Introducing AI Assisted Data Engineering AWS Data Ecosystem – overview Areas in Data Engineering where AI assistance would be useful
    * Data Platform Modernization
    * Test data generation
    * Review checklists
    * Data lineage
    * Data quality checks
    * Glue catalog queries
    * Automating tedious tasks
    * Improve our understanding of code
    What new skills do data engineers need?

    LLMs have been a nice, if somewhat indispensable tool to the arsenal of developers. This talk focuses on data engineering tasks that can be accomplished using AI assistants. For these examples and demos, I will use Claude AI from Anthrophic.

    Especially powerful is using the right libraries and using code produced by LLMs to supercharge use of the libraries. This helps accelerate data engineering activities.

    Can LLMs be a true assistant? Can they illustrate the right way to use libraries? Can they create the basic programs that we can then improve? Can they automate tasks like reviews? Further, what do we need to know to harness their power? What new skills do we need to acquire?

    Abstract 3: LinkedIn profile and strategies for earning the Top Voice award

    AWS Services: AWS Bedrock, AWS RedShift, AWS Glue, AWS Athena

    Audience: Beginner

  • Go Beyond The Hype – How To Build Value with AI/ML + GenAI

    Presenter: Nathan Hiscock, Darko, Dave Stauffacher, Lena Taupier, Kathie Kinde Clark

    Abstract: Panel discussion. Companies are now seeing it’s not enough just to incorporate ai/ml – it can be expensive and impede agility if not done with best practices. What are some of the trends we’re seeing as AI begins to mature on cloud platforms? What are some of the strengths and weaknesses of AWS vs other cloud platforms? How do we help customers find value with the right technical strategies?

    AWS Services: Sagemaker, Transcribe, Amazon Q, Bedrock et al

    Audience: Advanced

  • Lunch

  • Secure your App from bots and attacks with AWS WAF (Web Application Firewall)

    Presenter: Lena Taupier

    Abstract: Learn how to integrate AWS Web Application Firewall (WAF) into your architecture to create a layer of defense against common exploits such as XSS & SQL injection, fraud, DDoS, brute force attacks, and more!

    AWS Services: AWS WAF, Cloudfront, ELB, Lambda

  • Avoiding Common Pitfalls with Hosting Machine Learning Models

    Presenter: Max De Jong

    Abstract: With the explosion of interest in machine learning, model weights are available for many custom architectures trained on very specific tasks. Often, the repositories storing these models were created to demonstrate performance on a standard task-specific benchmark at the expense of practical considerations required for these models to be useful in real-world applications. Common issues include managing dependencies (particularly CUDA with deep learning models), exposing models as endpoints, orchestrating multiple microservices around different models, scaling up web servers to handle concurrent requests, and scaling down GPU instances for cost optimization. In this talk, I will address solutions to these common problems using technology supported by AWS as well as AWS-native solutions. These challenges and associated solutions will be concretely grounded by a recent project exploring 3D pose estimation in videos. I will share the trajectory of this work, from unconnected code repositories to an on-prem service and finally to a scalable service hosted on AWS. I will document both specific solutions to problems encountered and also focus on broader takeaways to hopefully help interested community members avoid common pitfalls in hosting machine learning solutions.

    AWS Services: S3, EC2, Fargate, Gateway, Lambda, ECR, ECS

    Audience: Beginner

  • Intelligent Document Processing for Artificial Intelligence

    Presenter: Cameron Williams

    Abstract: Smart Search: the largest Amazon Textract consumer globally. Built to make document content searchable and to enable AI/ML opportunities, helping put benefits in the hands of our Veterans faster! Hear how we built a system that processed over 500 million documents in less than a year, and some lessons learned.

    AWS Services: Textract, OpenSearch, S3, Lamda, SQS, SNS, Comprehend, Step Functions

    Audience: Beginner

  • How does RAG REALLY work?

    Presenter: Jeff Maruschek

    Abstract: “How many manuals are you expected to know cover to cover? How many different manuals are needed to be referenced for the same situation? You might be interested in RAG. Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response. Large Language Models (LLMs) are trained on vast volumes of data and use billions of parameters to generate original output for tasks like answering questions, translating languages, and completing sentences. RAG extends the already powerful capabilities of LLMs to specific domains or an organization’s internal knowledge base, all without the need to retrain the model. It is a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts. In this Session, Jeff Maruschek (AWS Sr. Solution Architect) will provide an overview of RAG, Context, Embeddings, and demonstrate both a fully built RAG chatbot application and AWS’s fully managed RAG offering, Knowledge Bases for Amazon Bedrock.”

    AWS Services: Bedrock, Lambda, Cloudfront, S3, and more

    Audience: Beginner

  • Generative AI in Real Life – GenAI and Manufacturing

    Presenter: Rob Sable

    Abstract: Generative AI tools have quickly captured the world’s attention. There’s a lot of potential, speculation, and hype. This increase in focus is being driven by the massive proliferation of data, the availability of on-demand compute capacity, and the advancement of machine learning technologies. Manufacturers leveraging AI technologies have already realized great benefits by transforming their business in areas like predictive maintenance, quality, and demand forecasting. Going forward, manufacturers are thinking about how AI can enable transformation across the entire business including • Personalizing the customer experience • Enabling employees to make better data-driven decisions, faster • Improving efficiency of business

    AWS Services: Amazon Bedrock, Amazon Q

    Audience: Business Focused

  • Building a Generative AI Chatbot

    Presenter: Trevor Bennett

    Abstract: “Have you ever interacted with a large language model, only to realize that its answers are generic, and possibly even made up? This is an evergreen issue in cases where answers to the questions exist, but the model lacks the ability to find them, because it was never trained on the data in question in the first place. We have the data (somewhere), and we have the model, how do we make them talk? Retrieval augmented generation is a technique wherein you take a user’s question, enhance it for the purposes of a document query, and then use those same documents to contextualize the user’s question to the model. We’re going to build a workflow that does exactly that. In this talk we will walk through the architectural decisions and design constraints that lead to us using LangChain, Amazon Bedrock, and Open Search to build out a retrieval augmented GenAI pipeline. We will conclude with a comparative demonstration of results and a discussion of lessons learned.”
    AWS Services: bedrock, bedrock agents, lambda, s3, dynamodb, open search

    Audience: Beginner

  • S3 – Sophisticated Storage System

    Presenter: Brian Tarbox

    Abstract: This proposal highlights how Amazon Inspector enhances security in AWS by aligning with the CIA Triad and DIE model. By integrating Amazon Inspector with these frameworks, organizations can proactively identify vulnerabilities and ensure data integrity while embracing distributed, immutable, and ephemeral security principles. Attendees will learn how to leverage Amazon Inspector within these models to bolster their security posture effectively, addressing threats comprehensively in their AWS environments.

    AWS Services: Amazon Inspector

    Audience: Beginner

  • Happy Hour

Track 4 – 2024

  • Registration – 2024

  • Keynote: Why does everyone keep talking about Generative AI?


  • Break

  • Building with Generative AI on AWS using PartyRock, Amazon Bedrock, and Amazon Q

    Presenter: Banjo Obayomi

    Abstract: Learn to build generative AI applications on AWS using PartyRock and Amazon Bedrock. You will 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. You will be provided an AWS account to go through this workshop. Some familiarly with using services such as AWS Lambda and writing Python code is helpful. No AI/ML experience is necessary. This workshop is intended to be finished within 2 hours”

    AWS Services: Amazon Bedrock, Amazon Q, PartyRock

    Audience: Advanced

  • Lunch

  • Happy Hour