AWS Builders Online Series

Join us to discover how builders can use AWS services to accelerate innovation across their entire cloud journey—from migration and modernization to building what's next with generative AI. In this keynote, we'll explore how some of the next generation builder tools from AWS can serve as your intelligent companion, helping you streamline migrations, build modern cloud-native applications, and implement production-ready generative AI solutions.

AWS offers a set of services and tools to improve your workflow when building applications in the cloud. You can use AWS Toolkit in your IDE of choice to access your AWS environment, use AWS CDK for cloud infrastructure, and use Amazon Q Developer to get gen AI-powered coding recommendations when you're building your applications. In this session, learn about the latest tools and the features that you can leverage to improve your development velocity as you build applications on the cloud. 

Serverless is an operating model where you delegate activities that do not provide value to your business to other parties. By doing so, you can focus on improving business logic and not have to worry about infrastructure. Serverless enables you to spend less time on code, freeing you up to focus on better integration and application development to deliver better value. In this session, walk with us through a typical modern application use case, discover benefits of serverless, and explore AWS services and tools you can leverage to accelerate your modern application development process. 

Containers are a powerful way for developers to package and deploy their applications. On the other hand, Infrastructure as Code is becoming an essential practice for developers to provision infrastructures for their applications. Using generative AI-powered assistant can also accelerate your development process. How can we get the best out of all these tools? In this session, we will show you how to build and deploy your containerized applications into Amazon ECS and AWS Fargate with the help of Amazon Q – an agentic generative AI-powered coding assistant for building, operating and transforming software. Discover how to extend your applications further with AWS CDK and integrate with other AWS services. From dev to deploy, this session is fully packed with demos.

Practical advice for early-stage startups focused on building Minimum Viable Products (MVPs) quickly and cost-effectively. This session showcases how AWS provides startups with significant advantages through its pay-as-you-go pricing model, built-in scalability, enterprise-grade tools, and global infrastructure. Through a detailed luxury staycation platform example, the session illustrates real-world implementation of key AWS services like AWS Amplify, Amazon DynamoDB, AWS Lambda, and AWS AppSync, while highlighting common pitfalls to avoid. By emphasizing practical development techniques, cost management, and scalable architecture decisions, this session provides founders with a clear roadmap for quickly transforming concepts into market-ready products that can attract both customers and future investment.

In the rapidly evolving landscape of application development, security remains a top priority. Discover practices and tools that successful organisations are using to accelerate software delivery while improving security across the various stages of application development. This session dives into the intricacies of embedding robust security mechanisms within the modern application development lifecycle, from generative AI-powered tools to detect and remediate security issues right in your developer IDE, to ML-powered analysis of code repositories. This session will provide visual step-by-step approaches with practical insights into creating resilient, secure applications running on AWS.

AWS and its partners have successfully guided hundreds of thousands of customers through cloud migration and modernization over the past 20 years. Drawing from this extensive experience, we have identified key patterns for successful migrations as well as common anti-patterns to take note of. In this session, we walk through the three-phase AWS migration process: Assess, Mobilize, as well as Migrate and Modernize. By leveraging real-life customer examples, we share best practices, anti-patterns, and provide strategies to mitigate potential challenges. By the end of this session, get a clear understanding of how to approach your cloud migration and modernization efforts for maximum efficiency and success.

As part of the AWS Builders Online Series, this session dives deep into leveraging advanced AWS services and generative AI to streamline the migration and modernization of on-premises VMware environments. It explores how AWS Transform utilizes natural language prompts and deep AI expertise to automate complex transformation tasks across discovery, planning, and execution. See a live demo including accelerating VMware inventory analysis to simplifying network translation and cloud optimization. Learn how to seamlessly migrate VMware VMs to Amazon EC2 or modernize to native AWS services, boosting security, performance, and innovation. Walk away with a toolkit of techniques to accelerate your organization's VMware to AWS journey!

Discover how to modernize SAP on AWS for maximum agility, innovation, and cost savings. Learn proven migration paths, real-world success stories, and how to unlock new business value with analytics, AI, and seamless integration, empowering your SAP transformation, no matter your industry or starting point.

In this session, we share the comprehensive suite of services from AWS which enables you to efficiently store, process, analyze, and act from their data. We dive deep into the key areas including data transfer, storage for data lakes, data warehousing, integration, and governance. We also share the analytics, visualization capabilities, and how to deliver innovative outcomes with AI and machine learning services on AWS. Learn the best practices for designing scalable, secure, and cost-effective data architectures, strategies for future-proofing your data foundation to support emerging technologies including generative AI. By the end of the session, understand how to build a strong data foundation that provides you with clean, organized, and easily accessible data for better decision-making and business insights.

The idea of one-size-fits-all monolithic database no longer fit today, as more organizations build highly distributed applications using many purpose-built databases. We observe an increasing number of customers wanting to build internet-scale applications that require diverse data models. In response to customers’ needs, AWS offers the choice of key-value, wide column, document, in-memory, graph, time-series, and ledger databases, with each database catering to specific use cases and requirements. In this session, find out the AWS purpose-built database that meet the scale, performance, and manageability requirements of modern applications.

AI/ML techniques are important fundamentals for organizations looking to reinvent customer experiences and deliver objectives. However, applying the right techniques to the use cases is not easy. This session provides guidance on how to apply practical and proven AI/ML techniques on key use cases for real business impact. We outline existing traditional AI and emerging generative AI suite of services to help you understand when and what services are best suited for the key application requirements or use cases across business functions and industries. Learn best practices on how to future-proof your stack and ensure flexibility and control within your organization. This session concludes with how to apply technologies to your use cases, enabling you to conceptualize new opportunities, achieve competitive advantage, and deliver organizational outcomes.

We are truly at an exciting inflection point in the widespread adoption of ML with the growth of generative AI applications. In this session, learn how to build your first generative AI application with key services such as Amazon Bedrock. Get hints and tips for getting started fast, and see example reference architectures for common use cases built with AWS AI and ML such as self-service customer support, text analysis, report generation, post-call analysis, and forecasting trends. 

While AI Foundation Models are powerful, connecting them to your data is a key step for building solutions that add value - and ensuring the answers they give are backed up by trusted sources. This session explores the latest techniques to improve and safeguard response accuracy with Retrieval Augmented Generation (RAG) in Amazon Bedrock Knowledge Bases. Join us to learn how advanced chunking and indexing features can improve quality, and how Amazon Bedrock's validation and guardrail tooling can help you go live with confidence.

Foundation Models  effectively conduct conversations, create content, and drive productivity, but they can deliver more value if they’re equipped to transact with company systems to complete multi-step tasks. Fully managed Agents for Amazon Bedrock enables generative AI applications to help perform multi-step tasks across company systems and data sources, saving you from engineering prompts, training models, or manually connecting systems. Agents can plan and perform most tasks, from answering customer questions about product availability to checking inventory. Learn how to create agents by securely orchestrating enterprise APIs and data using natural language.

Discover how Amazon Q Business is transforming the modern workplace into a powerhouse of productivity and innovation. This session unveils the groundbreaking capabilities of AWS's cutting-edge AI assistant that's already helping organizations achieve unprecedented levels of efficiency. Through dynamic demonstrations, witness firsthand how Amazon Q Business seamlessly integrates with your existing tools to eliminate mundane tasks, unlock the full potential of your organizational knowledge, and supercharge team collaboration. From instant data analysis to intelligent decision support, learn how leading companies are achieving remarkable productivity gains and significant cost savings. Featuring eye-opening case studies and actionable implementation strategies, this session is essential for business leaders ready to catapult their organizations into the future of work.