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Areas of focus
AWS re:Invent offers learning sessions on many topics in a variety of formats and at various levels so you can expand your knowledge and grow your skills at a pace that is right for you. Select a topic from the list to learn more about these opportunities at re:Invent.
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AI/ML
![AI/ML](/content/dam/reinvent/2024/media/cards/topics/ai-ml/ai-ml-2.png)
Chart your AI/ML journey
![Breakout session](/content/dam/reinvent/2024/media/cards/sessions/chalk-talks.png)
AIM302 | KONE safeguards AI applications with Amazon Bedrock Guardrails
Amazon Bedrock Guardrails enables organizations to deliver consistently safe and moderated user experiences through generative AI applications, regardless of the underlying foundation models (FM). Join the session to deep dive into how guardrails provide additional customizable safeguards on top of the native protections of FMs, delivering industry-leading safety protection. Finally, hear from KONE's CEO on how they use Amazon Bedrock Guardrails to provide safe and accurate real-time AI support to 30,000 technicians that execute 80,000 field customer visits per day. Get their tips on adoption of responsible AI principles that deliver value while achieving productivity gains.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/ai-ml/img-2.png)
AIM306 | Tool use & agents at the frontier: Advanced techniques for LLM actions
Base LLMs can read and write but aren't capable of acting on their own. Tool use and agents allow models to connect to your APIs and other real-world systems to turn their knowledge into action. Discover how to use advanced prompt engineering and clever system design to craft powerful automations using Anthropic’s Claude models in Amazon Bedrock, learning specialized tool syntax and optimizing solutions through strategic planning. Also, learn how frameworks like Amazon Bedrock Agents are pushing the boundaries of AI capabilities. Join us to explore the forefront of AI-driven automation and elevate your LLM skills.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/ai-ml/img-3.png)
AIM307 | Reduce FM deployment costs and latency with Amazon SageMaker
Organizations need robust, scalable, and cost-effective solutions to deploy and serve foundation models (FMs). This session explores how to use Amazon SageMaker to deploy FMs to make predictions at the best price performance for any use case. Get a detailed overview of deployment strategies to support large-scale generative AI inferencing, and learn how to architect solutions that optimize performance and cost.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/ai-ml/img-4.png)
AIM308 | Train large models on Amazon SageMaker for scale and performance
Amazon SageMaker offers the highest-performing ML compute infrastructure and a resilient environment to help you train foundation models (FMs) for months without disruption. Top AI companies, from enterprises to startups, build cutting-edge models with billions of parameters on SageMaker. Discover how you can save up to 40% of training time and reduce costs with state-of-the-art training tools such as SageMaker interactive debugging and profiling features and high-performing distributed training libraries. Join this session to learn how to run large-scale, cost-effective model training on SageMaker to accelerate generative AI development.
Analytics
![main.png Analytics](/content/dam/reinvent/2024/media/cards/topics/analytics/main.png)
Chart your analytics journey
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/analytics/image-1.png)
ANT405 | Data engineering for ML and AI with AWS analytics
The performance and accuracy of AI and ML systems directly depend on the quality, relevance, and integrity of the training data. Data engineering plays a crucial role in ensuring high-quality data is available, accessible, and usable for successful AI and ML implementations, allowing models to learn, reason, and act effectively. This session explores how AWS analytics provides complete engineering solutions for ingesting, storing, processing, and integrating data for AI and ML applications, addressing challenges such as cleaning and transforming real-time data streams, ingesting, integrating, and storing data from diverse sources into a unified view with orchestrated scalability.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/analytics/image-2.png)
ANT302 | Data foundation in the age of generative AI
An unparalleled level of interest in generative AI is driving organizations of all sizes 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 also business elements that need to stay constant such as organizations wanting to be cost-efficient while efficiently collaborating across their data estate. In this session, learn how laying your data foundation on AWS provides the guidance and the building blocks to balance both needs and empowers organizations to grow their data strategy for building generative AI applications.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/analytics/image-3.png)
ANT303 | Explore what’s new in data governance with AWS analytics
Join this session to explore the latest innovations and features in AWS analytics that are revolutionizing data governance. Expert presenters guide you through the exciting developments in services like Amazon DataZone, AWS Lake Formation, and AWS Glue that are empowering organizations to establish robust data governance frameworks while maintaining stringent compliance standards.
![Chalk talk](/content/dam/reinvent/2024/media/cards/topics/analytics/image-4.png)
ANT304 | Accelerating the shift from batch to stream processing
In today’s fast-paced business environment, timely insights from data are crucial for organizations to maintain a competitive edge and respond effectively to dynamic market and customer demands. This chalk talk explores the transformative shift from traditional batch processing to stream processing, enabling real-time data-driven decision-making. Gain insights into key streaming concepts, architectural patterns, potential challenges, and best practices for a seamless migration journey. Through a compelling use case demonstrating the benefits of transitioning to real-time data processing with AWS streaming services, you can acquire a roadmap for embracing stream processing and unlocking agility, responsiveness, and competitive advantage.
![Chalk talk](/content/dam/reinvent/2024/media/cards/topics/analytics/image-5.png)
ANT305 | Strategies for efficient zero-ETL integrations
In this chalk talk, learn techniques for extracting data from diverse sources, advanced transformation methods for data cleansing and enrichment, and optimized loading into data warehouses and data lakes. Real-world use cases showcase how organizations have overcome ETL challenges and unlocked the potential of their data assets. Gain comprehensive insights into streamlining ETL processes, handling large-scale data volumes, ensuring scalability and performance, and using ETL to drive data-driven decision-making, foster innovation, and gain a competitive edge.
Architecture
![test](/content/dam/reinvent/2024/media/cards/topics/architecture/main.png)
Chart your architecture journey
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/architecture/image-2.png)
ARC201 | Scaling on AWS for the first 10 million users
In this session, learn about patterns and techniques for architecting to handle rapid growth and success of your business’s infrastructure on AWS. Learn how to think about when to scale up versus when to scale out, where caching can help you best, and common points on the journey where breaking up your application into new services makes sense. From utilizing already highly scalable AWS services to architecting distributed system patterns, there are a number of choices you can make early on to help you overcome some common infrastructure challenges later. Come learn how to be ready to overcome the infrastructure challenges that can come with success.
![Builder's session](/content/dam/reinvent/2024/media/cards/topics/architecture/image-3.png)
ARC301 | Rapidly build a generative AI–based full-stack application on AWS
Building a full-stack application involves multiple components and demands a diverse set of technical skills and tools, which can be highly challenging and time-consuming even for experienced developers. In this builders’ session, explore strategies for rapidly building a generative AI–based digital training platform. Use AWS Amplify Gen 2, a new code-first developer experience, combined with the open source design library Cloudscape to quickly build and deploy a full-stack application. Use the robust functionalities provided by Amazon Bedrock to generate summaries for the content uploaded to the platform. Learn how to build and deploy an e-learning platform that is ready for real-world usage. You must bring your laptop to participate.
![Chalk talk](/content/dam/reinvent/2024/media/cards/topics/architecture/image-4.png)
ARC202 | A capability-oriented approach to defining your cloud architecture
When you’re architecting workloads, you have a choice of over 200 AWS services. However, it doesn’t have to be overwhelming to pick the right services for your architecture. By defining your workload in terms of the capabilities required by your system, a combination of functional and nonfunctional requirements, you can simplify your choices. By defining your system’s important differentiating characteristics, you will find yourself naturally aligning the right AWS services to the capabilities required by your system. In this chalk talk, learn how to organize your system by capabilities and discover the architectural characteristics to pick the right services for those capabilities.
Business applications
![Business applications](/content/dam/reinvent/2024/media/cards/topics/business-app/main.png)
Chart your business applications journey
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/business-app/image-3.png)
BIZ201 | Securing generative AI and LLM interactions with AWS Wickr
Looking to integrate with generative AI workloads through user-friendly bots? Join this session to discover how AWS Wickr can help you gain granular control over access policies and regulate who can engage with generative AI models. Learn how Wickr facilitates auditing and regulatory requirements with a comprehensive history of generative AI interactions. Wickr’s intuitive interface promotes transparency and accountability by allowing you to manage and monitor interactions. Whether you are concerned with regulatory compliance or organizational governance, discover how Wickr can help you streamline the integration process so that you can unlock the full potential of generative AI while maintaining control and oversight.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/business-app/image-5.png)
BIZ203 | What’s next in contact centers with Amazon Connect and generative AI
Today’s business and contact center leaders are looking at how AI technologies like generative AI can accelerate innovations that better serve customers, assist and empower agents, and uncover customer and business insights from their data. Join this session to hear how companies are optimizing their operations and everyday agent work to deliver better outcomes for their customers and business.
![Chalk Talk](/content/dam/reinvent/2024/media/cards/topics/business-app/image-6.png)
BIZ204 | Smarter, faster, better: Using generative AI on your supply chain data
Join this chalk talk to learn how you can use the generative AI capabilities in AWS Supply Chain to get more value from your supply chain data. The talk includes an interactive discussion about how you can access a broader range of data faster, then use that data with the help of generative AI to minimize risk, lower costs, and make better supply chain decisions.
Cloud operations
![Cloud operations](/content/dam/reinvent/2024/media/cards/topics/cloud-ops/main.png)
Chart your cloud operations journey
![Chalk talks](/content/dam/reinvent/2024/media/cards/topics/cloud-ops/image-2.png)
COP304 | Monitor end user experience with Amazon CloudWatch
By extending application performance monitoring to end users as well as frontend experiences, AWS digital experience monitoring enhances customer experiences with an outside-in perspective of application performance across all user touchpoints. Such user experience data provides a complete picture and helps organizations turn frontend performance, user behavior, and APIs into actionable KPIs such as release velocity, adoption rate, and conversions. In this builders’ session, learn how applications behave by monitoring both real and synthetic user activity and behavior, using data from ISPs and AWS, and capturing insights from backend infrastructure and devices as well as digital user metrics. You must bring your laptop to participate.
![Workshop](/content/dam/reinvent/2024/media/cards/topics/cloud-ops/image-3.png)
COP301 | Set up a secure AWS environment with AWS Control Tower
Organizations operating in the cloud want to be able to move quickly while remaining secure. In this workshop, learn how AWS Control Tower provides you with the capabilities to simplify the building, management, and governance of a multi-account AWS environment. Gain hands-on experience with how to use AWS Control Tower, including enrolling accounts, automating account customization, and establishing security controls. You must bring your laptop to participate.
![Workshop](/content/dam/reinvent/2024/media/cards/topics/cloud-ops/image-4.png)
COP302 | Automate patch management and compliance
In this workshop, learn how to automate patch management and compliance. See how you can quickly enable patching at scale across your AWS accounts and Regions within your AWS organization using AWS Systems Manager. Gain hands-on experience with how to use AWS Systems Manager to enable patching operations and maintain compliance. You must bring your laptop to participate.
![Workshop](/content/dam/reinvent/2024/media/cards/topics/cloud-ops/image-5.png)
COP303 | Hands-on experience with Amazon CloudWatch
Your enterprise’s agility, customer satisfaction, and business growth depend on setting up great observability. In order to help you build high-performing and reliable applications, AWS provides a variety of turnkey AWS native observability services and solutions. In this workshop, learn how to monitor AWS services with Amazon CloudWatch, get hands-on experience with the most common use cases, and learn about and implement the newest features available. You must bring your laptop to participate.
Databases
![Databases](/content/dam/reinvent/2024/media/cards/topics/databases/main.png)
Chart your databases journey
![image-2.png Chalk talks](/content/dam/reinvent/2024/media/cards/topics/databases/image-2.png)
DAT401 | Applied data modeling with Amazon DynamoDB
In this builders’ session, learn how to turn a new business idea into a fully functional data model in Amazon DynamoDB. Discover how to translate business requirements into access patterns and access patterns into a fully optimized schema design. You must bring your laptop to participate.
![Chalk Talk](/content/dam/reinvent/2024/media/cards/topics/databases/image-3.png)
DAT302 | Dive deep into Amazon DynamoDB using design puzzles
In this chalk talk, dive deep into how Amazon DynamoDB works at scale by collaboratively solving a few design puzzles that may seem simple but are actually complex. Learn how you can look beyond the obvious solution to find a more effective and scalable one with an understanding of how DynamoDB operates.
![Chalk Talk](/content/dam/reinvent/2024/media/cards/topics/databases/image-4.png)
DAT303 | Making your Amazon Aurora cluster more resilient
Amazon Aurora is a cloud-native relational database with unparalleled high performance and availability at global scale. Hundreds of thousands of organizations trust Aurora for their workloads today. In this chalk talk, learn about features such as Aurora Global Database and Amazon RDS Proxy, and discover best practices to achieve high availability for your Aurora clusters. The talk includes a whiteboarding session on high availability and disaster recovery solutions to help you maximize your application’s resilience.
![Code Talk](/content/dam/reinvent/2024/media/cards/topics/databases/image-5.png)
DAT402 | Using LangChain to build gen AI apps with Amazon Aurora and pgvector
Do you want to build a generative AI application with Amazon Aurora but are unsure of how to get started? In this code talk, learn essential tools for creating your own generative AI applications, including LangChain and pgvector. See live coding firsthand and learn the code required to connect these tools together, including how to use Retrieval Augmented Generation (RAG) to enhance the answers of the generative AI application. Also learn how to use Amazon Aurora with pgvector to accelerate vector similarity search. Discover how to use fundamental building blocks to build your own generative AI applications with Aurora.
![Workshop](/content/dam/reinvent/2024/media/cards/topics/databases/image-6.png)
DAT403 | Build a web-scale application with purpose-built databases & analytics
In this workshop, learn to build modern web applications at scale using purpose-built databases. Discover how to apply development patterns using Amazon Aurora, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon OpenSearch Service to build a fully functional and scalable bookstore ecommerce application, and dive deep into best practices along the way. Basic familiarity with AWS concepts and services such as AWS Identity and Access Management (IAM), Amazon VPC, networking, and storage services is recommended. You must bring your laptop to participate.
Developer
![Developer](/content/dam/reinvent/2024/media/cards/topics/developer/main.png)
Chart your developer journey
![Chalk talks](/content/dam/reinvent/2024/media/cards/topics/developer/image-2.png)
DEV301 | The art of transforming foundation models into domain experts
Standard foundation models have general knowledge on most topics, but little specific domain knowledge. Learn how to customize them to make them experts in your field. In this session, learn how to perform fine-tuning, use the Retrieval Augmented Generation technique, or use transactional agents through interactive demonstrations. Discover how to evaluate the pros and cons of each approach to choose the solution that best suits your needs.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/developer/image-3.png)
DOP201 | AWS infrastructure as code: A year in review
AWS provides services that enable the creation, deployment and maintenance of application infrastructure in a programmatic, descriptive, and declarative way. These services provide rigor, clarity, and reliability to application development. Join this session to learn about the new features and improvements for AWS infrastructure as code with AWS CloudFormation and AWS Cloud Development Kit (AWS CDK) and discover how they can benefit your team.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/developer/image-4.png)
DOP202 | Continuous integration and continuous delivery (CI/CD) for AWS
AWS provides one place where you can plan work, collaborate on code, and build, test, and deploy applications with continuous integration and continuous delivery (CI/CD) tools. In this session, learn about creating complete CI/CD pipelines using infrastructure as code on AWS.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/developer/image-5.png)
DOP203 | Governance and security with infrastructure as code
In this session, learn how to use AWS CloudFormation and the AWS CDK to deploy cloud applications in regulated environments while enforcing security controls. Find out how to catch issues early with cdk-nag, validate your pipelines with cfn-guard, and protect your accounts from unintended changes with CloudFormation Hooks.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/developer/image-6.png)
DOP204 | Amazon Q Developer: Your gen AI assistant for software development
In this session, learn how Amazon Q Developer is transforming the developer experience by speeding up a range of tasks that support you as you research how to get started, evaluate system design, build secure and scalable applications, upgrade existing applications, and optimize application performance. Learn firsthand how Amazon Q capabilities for building, troubleshooting, and transforming applications faster and more easily frees you up to focus on experimentation and innovation.
![Chalk Talk](/content/dam/reinvent/2024/media/cards/topics/developer/image-7.png)
DOP301 | Streamline DevSecOps in a complete software development service
Security is not just for application code—the automated software supply chains that build modern software must also be protected from threat actors. In this chalk talk, discover how you can use Amazon CodeCatalyst to incorporate security tests into every aspect of the software development lifecycle while maintaining a great developer experience. Come learn how the flexible actions-based CI/CD workflows in CodeCatalyst can help streamline the process of adapting to security threats.
Generative AI
![Generative AI](/content/dam/reinvent/2024/media/cards/topics/gen-ai/main.png)
Chart your generative AI journey
![image-2.png Chalk talk](/content/dam/reinvent/2024/media/cards/topics/gen-ai/image-2.png)
CMP318 | Choose the optimal compute environment for your AI/ML workloads
Ready to run your generative AI workloads on AWS? If you’re trying to decide between accelerators such as AWS Inferentia and AWS Trainium, GPUs from NVIDIA and AMD, processors such as AWS Graviton, or managed services such as Amazon Bedrock and Amazon SageMaker, this chalk talk has got you covered. Come explore the different options you have available on AWS, unpack their advantages and trade-offs, and get help choosing the option that is best for your workload and budget.
![Workshop](/content/dam/reinvent/2024/media/cards/topics/gen-ai/image-3.png)
XNT401 | Easily port .NET Framework applications to Linux with Amazon Q
In this workshop, gain hands-on experience porting a .NET Framework application to cross-platform .NET. Use Amazon Q Code Transformation for .NET, a modernization tool powered by generative AI that significantly reduces the time to migrate applications from Windows Server to Linux. Learn how migrating to Linux helps you avoid additional licensing fees and gain performance and security benefits. You must bring your laptop to participate.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/gen-ai/image-4.png)
CPG202 | Neiman Marcus revolutionizes the luxury experience with generative AI
In today’s competitive landscape, delivering personalized experiences is crucial for engaging customers and driving conversions. Generative AI has emerged as a powerful tool that can enable businesses to create tailored content at scale. This session explores how Neiman Marcus Group partnered with the AWS Generative AI Innovation Center to build a solution that uses Amazon Personalize and Amazon Bedrock to generate personalized email content for sales associates. Gain insights into how this drove associate efficiency by weaving together customer profiles, product attributes, and promotion details to craft engaging and relevant outreach material, ultimately driving better customer experiences and business growth.
![Bootcamp](/content/dam/reinvent/2024/media/cards/topics/gen-ai/image-5.png)
TNC205 | Generative AI for executives
This bootcamp equips business leaders with the knowledge to jump-start generative AI within their companies. Executives and business decision-makers can gain a solid understanding of generative AI’s capabilities and practical applications. They can also discover how AWS services and best practices can help them successfully implement generative AI in their organizations.
![Workshop](/content/dam/reinvent/2024/media/cards/topics/gen-ai/image-6.png)
OPN403 | Spotting anomalies in real time with generative AI and open source
In this workshop, build a system to analyze log events from a data stream and detect anomalies using generative AI and open source technologies, including Apache Kafka, Apache Flink, and OpenSearch. Learn to ingest logs into Apache Kafka and consume them using Apache Flink for real-time anomaly detection using machine learning in Amazon SageMaker. Additionally, integrate the output with generative AI in Amazon Bedrock to automate incident response and reduce the mean time to resolve issues. This hands-on experience prepares you to build an adaptive defense strategy for your own evolving security needs. You must bring your laptop to participate.
Industries
![Industries](/content/dam/reinvent/2024/media/cards/topics/industries/main-2.png)
Chart your industries journey
![image-2.png Breakout session](/content/dam/reinvent/2024/media/cards/topics/industries/image-2.png)
ADM201 | Unified customer profiles and connected journeys with United Airlines
United Airlines uses AWS Entity Resolution and AWS Clean Rooms to unify customer data from multiple touchpoints to gain a comprehensive, 360-degree view of its customers. This helps United deliver personalized experiences, optimize inventory utilization, and drive business growth while maintaining strict data governance and security controls. Join this session to learn how United moved its on-premises workloads to AWS to create a holistic view of its customer data, unlocking the power of a highly distributed dataset to generate business insights using a modern data architecture to create a strong, connected media strategy.
![Chalk Talk](/content/dam/reinvent/2024/media/cards/topics/industries/image-3.png)
AES303 | Degas uses generative AI on AWS to help smallholder farmers in Ghana
Degas Ltd., a Japanese agri-fintech startup, uses AWS generative AI to help millions of smallholder farmers in Africa mitigate climate change impacts. Learn about how Degas developed a large language model-based advisor chatbot built on Amazon Bedrock that empowers field agents and smallholder farmers in Ghana with more sustainable agriculture practices, increases income, and scales global decarbonization. In this compelling chalk talk, discover Degas Ltd.’s innovative use of Retrieval Augmented Generation to promote regenerative agriculture practices.
![Chalk Talk](/content/dam/reinvent/2024/media/cards/topics/industries/image-4.png)
ENU301 | Migrating an energy trading application to AWS
In this chalk talk, hear how an international energy company migrated its business-critical energy trading and risk management system, Openlink Endur, to AWS. This talk dives into the technical and strategic aspects of this migration, showcasing how the organization used AWS services to enhance performance, scalability, and resilience. Learn about the challenges faced, the innovative solutions implemented, and the tangible business benefits realized, including faster feature delivery, improved developer experience through enabling rapid provisioning of dedicated environments, and increased global availability. Come discover how this migration to AWS has positioned the company for long-term success in the dynamic energy market.
![Chalk Talk](/content/dam/reinvent/2024/media/cards/topics/industries/image-5.png)
FSI302 | Guardrails for financial services LLMs with Amazon Bedrock & SageMaker
Financial institutions need to exercise caution when it comes to incorporating large language models (LLMs) in customer-facing products due to the risk of hallucinations. It’s also important to implement robust safeguards against the inadvertent sharing of sensitive data. In this chalk talk, learn strategies to refine datasets, maintain high-quality inputs, and customize LLM outputs to meet the precise requirements of the financial services industry. Walk through how you can use Amazon Bedrock and Amazon SageMaker to fine-tune LLMs, and gain practical insights that can help you unlock the power of generative AI while maintaining business-critical controls and compliance.
![Workshop](/content/dam/reinvent/2024/media/cards/topics/industries/image-6.png)
GAM301 | Build a scalable cross-platform multiplayer game backend on AWS
In this workshop, learn how to use the AWS Game Backend Framework to develop a custom cross-platform game backend for your multiplayer game. Explore cross-platform player identity, backend microservices for matchmaking, and integrations to popular game engines. Also learn how to use Amazon GameLift to host your game servers globally, close to players for a low-latency real-time experience. You must bring your laptop to participate.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/industries/image-7.png)
MFG201 | Empowering the next-generation industrial operator with generative AI
Georgia-Pacific (GP) is one of the largest manufacturers of pulp and paper, dispensers, packaging, and wood and gypsum building products. Like many manufacturers, GP faces workforce attrition challenges as senior workers retire and apprentice operators need to upskill quickly. Hear how GP’s Amazon Bedrock–enabled industrial operator assistant provides a natural language interface for machine diagnostic troubleshooting based on unstructured data (SOP docs, machine manuals, etc.) and structured real-time machine data to retrieve and summarize relevant content in minutes. This reduces mean time to resolution by empowering apprentice workers to troubleshoot independently with real-time, contextualized machine data.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/industries/image-8.png)
MAE202 | Sky: Enhancing sports experiences with automation and generative AI
Integrated with Sky TV, NOW TV, and the Sky Sports app, Sky Sports+ is a fully automated end-to-end live events platform that provides up to 100 concurrent live video streams. In this session, discover how Sky Sports+ uses AWS to deliver features for an enhanced immersive viewing experience, exclusive access to documentaries, and a dedicated linear channel. Explore how AWS powered automation, data mesh, acquisition platform, cloud production expansion, and generative AI are used to augment Sky’s platform capabilities across digital and linear channels.
![Chalk Talk](/content/dam/reinvent/2024/media/cards/topics/industries/image-9.png)
CPG301 | Using generative AI for smart mocks with Retail Reference Framework
In this chalk talk, learn how to quickly build retail-specific applications using Retail Reference Framework (RRF), an open source development toolkit that provides standardized architectural patterns and components. Explore how RRF uses Amazon CodeCatalyst to run CI/CD workflows that transform Smithy API models into SDKs in various languages and publish them to AWS CodeArtifact. The framework then builds an Amazon Bedrock–backed implementation of the API models using the generated SDKs that is deployed to Amazon API Gateway, enabling immediate "smart mocked" service testing and development.
Security, compliance & identity
![Security](/content/dam/reinvent/2024/media/cards/topics/security-compliance-identity/security-1.png)
Chart your security, compliance & identity journey
![Security](/content/dam/reinvent/2024/media/cards/topics/security-compliance-identity/security-2.png)
SEC302 | Better together: Protecting data through culture and technology
AWS uses a combination of culture and technologies to share ownership and build security into every layer of the stack, then externalizes lessons learned through the managed services AWS provides to you. This session examines the full range of data protection capabilities available with AWS and how best practices and culture can complement them to improve security outcomes. Dive deep into a defense in depth perspective, which details how organizations can protect their data and bolster their security culture by consistently building security into every layer.
![Chalk Talk](/content/dam/reinvent/2024/media/cards/topics/security-compliance-identity/security-3.png)
SEC303 | Protecting data within your generative AI architectures
When training externally facing large language models (LLMs) on internal or sensitive data, you need to be sure that you don’t unintentionally or inappropriately disclose portions of the training data. In order to protect against sensitive data disclosure, the general recommendation is to not train these complex systems with any non-public customer data. However, this may not always be possible. This chalk talk addresses how to mitigate this risk. Explore data minimization principles such as sanitization, anonymization, synthetic data generation, aggregation, and differential privacy while also discussing the benefits and tradeoffs.
![Code Talk](/content/dam/reinvent/2024/media/cards/topics/security-compliance-identity/security-4.png)
SEC401 | Inspect and secure your application with generative AI
Explore how to use generative AI to improve the security of your applications. Learn how AI-powered tools can help rapidly identify and then recommend remediations for security threats. Learn about how Amazon Inspector detects software and code vulnerabilities in your applications, and discover how to scan for issues and remediate them using generative AI in your IDE.
![Workshop](/content/dam/reinvent/2024/media/cards/topics/security-compliance-identity/security-5.png)
SEC301 | Threat detection and response using AWS security services
Join AWS security experts for an immersive threat detection and response workshop using native security services to detect threats across different workloads. Learn about common threat types, how to detect them, and how to prioritize a response. This workshop simulates several security events across different resources and behaviors. Get hands-on in a provided sandbox environment to review and respond to findings from the simulated events. You must bring your laptop to participate.
![Workshop](/content/dam/reinvent/2024/media/cards/topics/security-compliance-identity/security-6.png)
SEC304 | Mitigate zero-day events and ransomware risks with VPC egress controls
In this network security workshop, learn how to implement AWS best practices for egress controls to mitigate risks from software supply chain dependencies, zero-day events, cryptocurrency mining, and ransomware. Also, explore a new security use case enabled by TLS decryption of outbound network flows. You must bring your laptop to participate.
Storage
![Storage](/content/dam/reinvent/2024/media/cards/topics/storage/storage-1.png)
Chart your storage journey
![Storage](/content/dam/reinvent/2024/media/cards/topics/storage/storage-2.png)
STG201 | Build a data foundation to fuel generative AI
Data has long been considered a strategic asset by organizations, but generative AI puts a renewed emphasis on the importance of a data strategy. Whether you are building your own model or customizing a foundation model, your data is a key differentiator for generative AI, so you need a data strategy that supports relevant, high-quality data. In this session, learn about the data tools that can fuel your generative AI strategy and the common data patterns required to transform your generative AI application from a generic tool to a program that truly knows your business and your customer.
![Breakout session](/content/dam/reinvent/2024/media/cards/topics/storage/storage-3.png)
STG204 | Accelerate & automate secure data transfers at scale with AWS DataSync
Accelerate your cloud journey by moving your data to AWS quickly and securely with AWS DataSync. In this session, discover best practices for how to move your data at scale and increase performance. Hear a success story from Resilience, an AWS customer that is transforming the way novel medicines are produced, and learn how they used DataSync to build a connected network for fast, reliable data transfer in their lab environments.
![Chalk Talk](/content/dam/reinvent/2024/media/cards/topics/storage/storage-4.png)
STG303 | How to optimize AWS storage for generative AI and ML workloads
Scaling deep learning programs into production often comes with its challenges, and you can’t have high-quality data modeling if your storage isn’t optimized for performance scalability. Getting this wrong can lead to unexpected cost and performance issues. In this interactive chalk talk, get answers to your questions related to selecting and optimizing storage for AI and ML workloads so you can build better, innovate faster, and deploy at scale.
![Chalk Talk](/content/dam/reinvent/2024/media/cards/topics/storage/storage-5.png)
STG306 | Advanced security patterns on Amazon S3
Amazon S3 security settings and access controls are suitable for virtually any workload. In this chalk talk, equip yourself with proven patterns for managing access at scale. Learn how to optimize policy usage, scale beyond AWS Identity and Access Management (IAM) policy limits, and secure your data lake perimeter.
![Workshop](/content/dam/reinvent/2024/media/cards/topics/storage/storage-6.png)
STG310 | Build fast, scalable infrastructure for AI/ML with AWS storage
High-performance storage is essential for efficient and cost-effective machine learning (ML) and large language model (LLM) training for generative AI. Managing intensive GPUs and accelerators like AWS Trainium requires optimized storage solutions. Amazon S3 and Amazon FSx for Lustre offer scalability and compute acceleration for workloads, from time to first byte to multi-petabyte scales. In this workshop, learn how to use Amazon S3 and FSx for Lustre with Amazon SageMaker and monitor them using Amazon CloudWatch, and discover how to achieve the best performance for your workload. You must bring your laptop to participate.