Hands-on Workshops

11:00AM – 1:00PM | Room S226 – S227, 2/F

You can surface insights from best practices, security, fault tolerance, and performance using Amazon Inspector, AWS Config, Service Quotas, AWS Health, AWS Well-Architected Tool, and AWS Trusted Advisor. Join this workshop to learn how to automate these insights intelligently using Amazon EventBridge, AWS Lambda, and AWS machine learning (ML) services such as Amazon CloudWatch anomaly detection, Amazon Q Developer and Amazon Q Business.

This Workshop consists of the following 4 scenarios:

1. Automatic remediation for AWS Health Abuse events
2. Automatic rollback when anomalies are detected during new software version releases Large-scale
3. Automated remediation to change SSH ports across the company when facing imminent attacks from hacker groups
4. Building an application using Amazon Q Business that provides insights from AWS Trusted Advisor and AWS Health data

Target audience: DevOps Engineer, AWS Builder, Security Engineer

Speaker: Christine Chan, AWS Technical Account Manager

1:15 – 3:30PM | Room S226 – S227, 2/F

AWS GameDay is a gamified learning event that challenges participants to use AWS solutions to solve real-world technical problems in a risk-free setting. As a new hire at Unicorn.Rentals, the world’s largest mythical creature rental company, you will test your AWS knowledge in an interactive, team-based, risk-free environment.

AWS Generative AI Unicorn Party GameDay offers participants a dynamic sandbox to harness Bedrock's potential, by building applications using various foundation models. You will witness firsthand the transformative power of large language models. Join us to explore, experiment, and push the boundaries of what's possible with Amazon Bedrock.

Learning objectives:

Journey into the vast expanse of Amazon Bedrock, the easiest way to build and scale generative AI applications with foundation models. This immersive GameDay offers participants a dynamic sandbox to harness Bedrock's potential, by building applications using various foundation models.

Services used: Amazon Bedrock, Amazon Transcribe, Amazon S3, Amazon API Gateway, Amazon DynamoDB, AWS Lambda, AWS Cloud9, AWS Step Functions, PartyRock

Who should attend: The event is open to people at all levels of experience. Being familiar with the AWS Console is important, but detailed knowledge of AWS Bedrock is not required. We will create teams made up of beginner, intermediate and Expert players.

3:45 – 5:45PM | Room S226 – S227, 2/F

Join this workshop to participate in 20 increasingly complex coding challenges aided by Amazon Q Developer, an AI-powered assistant for software development. Discover how Amazon Q Developer’s auto-generated code recommendations and chat explanations can help you develop code and understand complex algorithmic coding challenges more efficiently compared to manual coding alone. Learn about Amazon Q Developer capabilities and how it can help you improve productivity. You must bring your laptop to participate.

• Topic: AI/ML, DevOps & Developer Productivity
• Industry: Cross-Industry Solutions
• Area of interest: Generative AI, Innovation & Transformation
• Level: 300 – Advanced
• Role: Developer / Engineer, IT Professional / Technical Manager
• Services: Amazon Q Developer