Speaker: Sanyam Bhutani, Partner Engineer, Generative AI Engineer at Meta

Gain cutting-edge skills in building a full-stack web application with AI assistance. This book will guide you in creating your own travel application using React and Node.js, with MongoDB as the database, while emphasizing the use of Gen AI platforms like Perplexity.ai and Claude for quicker development and more accurate debugging. The book’s step-by-step approach will help you bridge the gap between traditional web development methods and modern AI-assisted techniques, making it both accessible and insightful. It provides valuable lessons on professional web application development practices. By focusing on a practical example, the book offers hands-on experience that mirrors real-world scenarios, equipping you with relevant and in-demand skills that can be easily transferred to other projects. The book emphasizes the principles of responsive design, teaching you how to create web applications that adapt seamlessly to different screen sizes and devices. This includes using fluid grids, media queries, and optimizing layouts for usability across various platforms. You will also learn how to design, manage, and query databases using MongoDB, ensuring you can effectively handle data storage and retrieval in your applications. Most significantly, the book will introduce you to generative AI tools and prompt engineering techniques that can accelerate coding and debugging processes. This modern approach will streamline development workflows and enhance productivity. By the end of this book, you will not only have learned how to create a complete web application from backend to frontend, along with database management, but you will also have gained invaluable associated skills such as using IDEs, version control, and deploying applications efficiently and effectively with AI. What You Will Learn How to build a full-stack web application from scratch How to use generative AI tools to enhance coding efficiency and streamline the development process How to create user-friendly interfaces that enhance the overall experience of your web applications How to design, manage, and query databases using MongoDB Who This Book Is For Frontend developers, backend developers, and full-stack developers.

Do you feel lost in the jungle of GenAI frameworks and buzzwords? Here's a way out. Take any GenAI app, peel away the fluff, and look at its core. You'll find the same pattern: a boringly simple nested while loop. I will show you how this loop produces chat assistants, AI agents, and multi-agent systems. Then we'll cover how RAG, tool-calling, and memory are like lego bricks we add as needed. This gives you a first-principles based map. Use it to build GenAI apps from scratch; no frameworks needed.

Informed Consent Forms (ICFs) are critical documents in clinical trials. They are the first, and often most crucial, touchpoint between a patient and a clinical trial study. Yet the process of developing them is laborious, high-stakes, and heavily regulated. Each form must be tailored to jurisdictional requirements and local ethics boards, reviewed by cross-functional teams, and written in plain language that patients can understand. Producing them at scale across countries and disease areas demands manual effort and creates major operational bottlenecks. We used a combination of traditional AI and large language models to autodraft the ICF across clinical trial types, across countries and across disease areas at scale. The build, test, iteration and deployment offers both technical and non technical lessons learned for generative AI applications for complex documents at scale and for meaningful impact.

In this 90 minute tutorial we'll get anyone with some basic Python and Command Line skills up and running with their own 100% laptop based set of LLMs, and explain some successful patterns for leveraging LLMs in a data analysis environment. We'll also highlight pit-falls waiting to catch you out, and encourage you that your pre-GenAI analytics skills are still relevant today and likely will be for the foreseeable future by demonstrating the limits of LLMs for data analysis tasks.

In this session, explore how you can use the generative AI capabilities of Amazon DocumentDB (with MongoDB compatibility) to make your existing applications more powerful. See demos showcasing how easily you can implement semantic search, build chatbots, and execute ML predictions within Amazon DocumentDB.

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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To adapt to an ever-changing threat landscape, effective cybersecurity must align policy interpretation, operational enforcement, and real-time metrics in a continuous feedback loop. Generative AI has a large role to play in retrieving relevant data and coordinating and adapting this complex task across a disparate set of tools and information sources. In this session you will learn about different options for developing GraphRAG capabilities using Amazon Neptune that supply highly relevant connected data to agentic workflows, and how Deloitte used the AWS GraphRAG Toolkit to build a Security Intelligence Center that produces predictive security guidance based on timely organizational context.

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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Transform your generative AI model development with checkpointless and elastic training on Amazon SageMaker HyperPod. Learn how checkpointless training eliminates costly downtime by automatically recovering from infrastructure faults in minutes instead of hours, using peer-to-peer state transfer without relying on restarting from checkpoints. Discover how elastic training can dynamically expand to claim idle accelerators or gracefully contract when higher-priority tasks need capacity, all without manual intervention. See how these innovations help you maintain forward training momentum despite infrastructure faults or fluctuations in resource availability, helping you scale and accelerate generative AI model development across hundreds to thousands of AI accelerators.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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As organizations build and customize multiple AI models and agents, managing experiments, versions, and evaluations becomes increasingly complex. In this session, see how Intuit, a leader in financial technology, is using Amazon SageMaker with MLflow to accelerate their AI initiatives and empower their teams to build and deploy AI solutions with confidence. Discover how this new capability eliminates infrastructure management while providing comprehensive experiment tracking, model evaluation, and observability. Learn to efficiently manage your growing AI portfolio across traditional ML, custom models, generative AI applications, and fine-tuned agents—all from a single, streamlined environment.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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Amazon OpenSearch Service lets you search billions of vectors in milliseconds and with high accuracy to support semantic search and power generative AI. Learn how we're democratizing vector search and accelerating AI application development with vector index GPU-acceleration and auto-optimization on Amazon OpenSearch Service. These new features allow you to build billion-scale vector database in under an hour, and index vectors 10x faster at only a quarter of the cost, while auto-optimizing for search speed, quality and cost savings.

Learn More: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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In this session, learn how to build a serverless-first chatbot application by leveraging Amazon Aurora with pgvector as a vector store and Amazon ElastiCache Serverless for Valkey to manage chat history, semantic caching, and agent memory. Discover how to harness these services to create contextually aware, scalable chatbots with agentic capabilities that retain conversational memory across interactions. Explore architectural patterns, implementation strategies, and real-world use cases. Gain insights into optimizing query latency, performance, and cost-effectiveness. Whether you’re a developer, architect, or decision-maker, this session equips you with practical knowledge to build modern, serverless-powered chatbot applications using generative AI.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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While generative AI captures headlines, the untapped potential lies in combining it with decades-proven symbolic AI techniques. This session explores how organizations can leverage symbolic AI, such as ontologies and logic-based reasoning to build knowledge graphs and to enhance their AI capabilities. Dive deep into these topics to understand what ontologies look like, where semantics comes from, and what it means to build working knowledge graphs. Learn concrete strategies for defining and adopting ontologies and how to use reasoning for your benefit.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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Serving millions of users daily while adhering to strict compliance and reliability requirements makes delivery of high-scale AI services even more challenging. In this session, you'll discover how Slack integrated generative AI features to help users find and read information faster, exploring the architectural decisions they made to meet increasing demands while continuing to develop rich functions that help users save time daily. Learn how model flexibility on Amazon Bedrock and the accelerated performance of Amazon Nova at a low cost helped Slack grow exponentially in two years while maintaining security and reliability.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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Generative AI deployments face challenges with high computing costs and complex scaling requirements. AWS Trainium2 and Inferentia2 chips deliver compelling price-performance for both training and inference workloads. In this session, discover innovations that enable efficient scaling of advanced AI workloads, from training and serving MoE models to deploying agentic systems with reasoning capabilities. Learn how customers are achieving exceptional performance while significantly reducing costs.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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Almost everyone has experienced a bad IT day, when systems fail in unpredictable ways. For organizations operating in a humanitarian crisis, contextual continuity is mission critical. In this code talk, we'll explore how generative AI can help build more resilient humanitarian systems. Drawing from Werner Vogels' wisdom that "everything fails, all the time, so plan for failure and nothing will fail", we'll demonstrate practical techniques for identifying and mitigating potential system failures. Through live coding, attendees will learn to leverage AI to anticipate and address vulnerabilities, ensuring more robust and reliable humanitarian technology.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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Does the thought of modernizing your application and database architecture fill you with concern? In this code talk, learn how to overcome common migration issues and concerns that arise during modernization projects. See live coding examples to learn how to use generative AI and the AWS DMS Schema Conversion feature to successfully modernize your database.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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Organizations are accelerating innovation with generative AI and agentic AI use cases. This session explores how AWS streaming and messaging services such as Amazon Managed Streaming for Apache Kafka, Kinesis Data Streams, Amazon Managed Service for Apache Flink, and Amazon SQS build intelligent, responsive applications. Discover how streaming supports real-time data ingestion and processing, while messaging ensures reliable coordination between AI agents, orchestrates workflows, and delivers critical information at scale. Learn architectural patterns that highlight how a unified approach acts on data as fast as needed, providing the reliability and scale to grow for your next generation of AI.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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Nova Forge, a first-of-its-kind service that offers organizations the easiest and most cost-effective way to build their own frontier models using Amazon Nova. As organizations deploy generative AI in production, they need models that embody their proprietary knowledge, understand their workflows, and meet their requirements. Learn about the shortcomings of the options for custom model development available today, and how Nova Forge is democratizing frontier model development. Hear from the Sr. Director of ML Content and Platform and Reddit on how they are leveraging Nova Forge to implement and scale AI across Reddit.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Deploying generative AI at enterprise scale requires balancing performance, cost, and reliability across diverse business purposes and use cases. Amazon Bedrock offers a complete portfolio of inference options, with on-demand cross-region inference for elastic scaling, on-demand service tiers for balancing performance and cost, including optimization options like prompt caching for improving latency while significantly reducing cost, and batch inference for cost-effective bulk processing. This interactive session covers the tools and approaches needed to architect hybrid inference strategies that enable enterprises to maximize price-performance ratios as AI workloads scale.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

An unparalleled level of interest in generative AI and agentic AI is driving organizations to rethink their data strategy. While there is a need for data foundation constructs such as data pipelines, data architectures, data stores and data governance to evolve, there are business elements that need to stay constant like cost-efficiency and effectively collaborating across data estates. In this session we will cover how building your data foundation on AWS provides the tools and the building blocks to balance both needs, and empower organizations to grow their data strategy for building AI-ready applications.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS