Harness the full potential of IoT data with AWS IoT and Analytics Services (Level 300 - Advanced)

If you knew the state of everything and could reason on top of that data, what problems could you solve? IoT data helps companies shift how they do business, improve product innovation, and impact customer experience. In this session, learn how AWS IoT helps organisations operate more intelligently by ingesting data from industrial and consumer products and modeling these assets using AWS IoT SiteWise. Also learn how to use analytics services, such as AWS Lake Formation, Amazon Redshift, and Amazon QuickSight, to unlock value from IoT data, gain insights, and drive innovation.

Mastering your data journey one step at a time (Level 200 - Intermediate)

You’ve decided to move your data to the cloud, but how do you do that while allowing the right people across your business to access it? This session shows how you can migrate your data and build a single secure data lake with the right permissions for different users. Once you’ve made the data available, we show you how to gradually leverage higher-level AWS services to build different use cases for data exploration. We also show you how it is possible to leverage machine learning to obtain valuable business insights along the way.

A path to event sourcing with Amazon MSK (Level 300 - Advanced)

Event sourcing is an exciting pattern for thinking differently about how to process and store data. With Amazon Managed Streaming for Apache Kafka (Amazon MSK), it’s now even easier for development teams to run and operate applications that are built around event sourcing patterns. In this session, we demonstrate a Java-based personal banking website that uses Amazon MSK, AWS Fargate, and Amazon Elasticsearch Service (Amazon ES) to process data using event sourcing with eventual consistency. We explore the code and review some of the operational characteristics in the AWS Management Console.

Activating data as a strategic asset (Level 100 - Introductory)

The promise of the data-driven organisation is to leverage democratised data platforms infused with ML to drive better decision making, build better products, and deliver personalised customer experiences. While the latest technologies and industry-leading skills are key components of any data, analytics, and AI strategy, many organisations are not addressing the organisational and cultural challenges of becoming data-driven.

Deep dive into AWS Lake Formation (Level 300 - Advanced)

In this session, learn how to build a secure and automated data lake using AWS Lake Formation. Also learn how to set up periodic sales data and ingest into the data lake, build automated transformations, and generate sales forecasts from the transformed data using AI. If you're a developer, DBA, or a data engineer who works with data, this session is for you.

An introduction to data driven customer engagement (Level 100 - Introductory)

A customer engagement strategy is vital to business performance, and using AWS can help you create a unique experience for customers engaging with your organization. This session provides an overview of the AWS customer experience services. We show you how using unique customer attributes and accessing AI/ML services enable you to move beyond traditional skills-based routing. Discover how to create a personalized, predictive environment, one where customers are better understood and can quickly access the answers and information they need.

Build an SQL-based data processing pipeline in minutes (Level 300 - Advanced)

Organisations rely on a huge amount of data and smart analytics to speed up their decision-making processes. However, data processing is often a complex and lengthy undertaking. In this session, we introduce one of the quickest ways to prepare your data for analysis without the need to program. We demonstrate how to create a SQL-based data flow in a few minutes by leveraging your understanding of the data, not the underlying Spark technology.

State of the art cloud data warehousing (Level 200 - Intermediate)

The state-of-the-art cloud data warehouse must enable thousands of concurrent users while providing the best performance at the lowest and most predictable cost. It also must seamlessly integrate into your data lake and be the first-class citizen in your analytical stack to achieve the agility needed for your analytics workloads. In this session, learn how Amazon Redshift does all this, and discover how to use this service to create a self-service data platform.

Building serverless applications with AWS Amplify (Level 200 - Intermediate)

Since it was released in 2017 as a JavaScript library, AWS Amplify has become a great way to build, provision, and deploy web and mobile serverless applications on AWS. In this session, we explore what you can do with AWS Amplify. We provide examples of how to build application APIs, and we show you how to add advanced capabilities like AI/ML to your application. We also discuss best practices around developer tooling and workflow as well as CI/CD orchestration using the Amplify console.

Application integration patterns for microservices: Fan-out strategies (Level 200 - Intermediate)

As microservices architecture become more popular, customers need a framework of patterns to help them identify and use AWS to deploy their workloads without managing servers or operating systems. In this session, we describe reusable serverless patterns with a focus on the messaging architecture. For each pattern, we provide operational, security, and reliability best practices and discuss potential challenges. We also demonstrate the implementation of some of the patterns in a reference solution. Learn how to recognise services and applications for serverless architectures in your own organisation.

Alexa, game on! Build engaging game experiences using voice (Level 300 - Advanced)

Everyone remembers that one game from their childhood that they loved—the fun, the challenge, the adventures into wild uncharted lands. In this session, we show you what’s possible when you mix games with a natural interface like voice via Alexa. We provide an overview of what is involved in developing a game using the Alexa cloud-based voice service, and we discuss developer tooling, SDKs, the ASK CLI, and the AWS services that you can use to build your game. At the end of this session, you should know what an Alexa game is and where to start to develop one.

Kubernetes GitOps on AWS (Level 400 - Expert)

GitOps is an approach where infrastructure as code lives alongside your application in the same Git repository, and any changes are automatically deployed when they’re merged there. This session demonstrates how to implement this approach for AWS-managed backend resources together with front-end services running on Kubernetes out of the same Git repository. You learn how AWS resources are deployed and managed in an automated way and deployed on Kubernetes via Flux. If you’re a developer or operational team member looking for ways to leverage AWS with Kubernetes and Amazon EKS to build and run applications in a simpler and cohesive Git-driven experience, this is the session for you.

The art of the state: Coordinating services using AWS Step Functions (Level 200 - Intermediate)

Microservice architectures give us increased agility and scale, but as they grow, they can become complicated to coordinate and debug. In this session, we review common service coordination patterns and how AWS Step Functions can help us quickly build fully managed and resilient workflows powered by easy-to-understand state machines.

Purpose-built databases for modern applications (Level 300 - Advanced)

Seldom can one database fit the needs of multiple distinct use cases. The days of the one-size-fits-all monolithic database are behind us, and developers are building highly distributed applications using many purpose-built databases. The world is changing, and the categories of databases continue to grow. We are increasingly seeing customers wanting to build Internet-scale applications that require diverse data models. In response to these needs, developers now have the choice of relational, key-value, wide column, document, in-memory, graph, time-series, and ledger databases. Each solves a specific problem or group of problems. Come learn about AWS purpose-built databases that meet the scale, performance, and manageability requirements of modern applications.

A builder’s guide to testing (Level 300 - Advanced)

In this session, we will dive deep into the developer experience on AWS with a focus on testing modern applications. We will cover AWS and open source tooling to help you build and test your apps locally and remotely in the cloud. Learn how to improve performance and load test your apps so they can perform at scale. We will also explore the current IDE and plugin landscape that is making life easier for modern day developers.

Building secure multi-tenant .NET core apps on AWS (Level 400 - Expert)

In this developer focused session, we dive into .NET core code and learn how to integrate your application’s security context into Amazon Cognito. You will learn how .NET concepts like claim based identity and thread security context seamlessly interact with AWS. When confronted with a software bug, you want to avoid leaking sensitive data. You will learn how to partition data at infrastructure level, apply a policy based on user’s tenancy, and create multiple layers of security to reduce the blast radius of a security breach.

Establish and govern a multi-account AWS environment with AWS Control Tower (Level 200 - Intermediate)

Are you excited about using AWS to build applications that delight your customers but need guidance on where to start? Do you need to set up a foundational AWS environment with pre-configured blueprints and guardrails? Come to this session, and learn how you can use AWS Control Tower to set up a secure environment for teams to provision development and production accounts in alignment with our recommendations and best practices.

How Amazon's culture affects incident management at AWS (Level 200 - Intermediate)

In large decentralised organisations like AWS, critical processes like incident management can be difficult to define, make consistent, and continuously improve. The urgency of a customer-impacting incident changes the way you operate and how you communicate with other teams. In this session, we discuss the aspects of Amazon’s culture that have helped scale our incident management process. We also share our learnings and provide practical tips on how culture drives more effective operational practices.

The art of successful Kubernetes failures (Level 300 - Advanced)

In the real world, things don't always go the way you want them to. Even when you’ve designed your Kubernetes cluster and the services it hosts to be highly available, scalable, and resilient, sometimes they fail anyway. These failures, if used correctly, can help you gain a deep understanding of how your system works and can act as tools that help spread knowledge throughout your engineering community. In this session, we cover expert techniques for defining and reviewing cluster-, node-, and pod-level metrics and for watching Kubernetes-based services before they fail. You also learn how to perform post-failure analyses that drives learning and meaningful improvement.

Advanced VPC connectivity patterns (Level 400 - Expert)

Amazon Virtual Private Cloud enables you to have complete control over your AWS virtual networking environment. It has evolved with enterprise-grade networking features. This session will look at design patterns for AWS Direct Connect, AWS Transit Gateway and AWS PrivateLink that will enable you to get the best from your network.

How to drive economic value through cost management and optimisation (Level 200 - Intermediate)

The economics of the cloud are compelling, but customers need to take action and put governance in place to realise its full benefits. In this session, we discuss how to drive commercial and technical optimisation through automation, tagging, and tooling in order to achieve cost reduction. We also cover the Savings Plans pricing model in depth and share proven methods that accelerate cost optimisation. This session is suitable for both new and existing customers who are interested in gaining additional control of their cloud spend.

Operations for serverless (Level 300 - Advanced)

Traditional operations are designed for long living infrastructure, low to medium velocity of changes, and pre-defined scale, but serverless applications may have different requirements. Applications are now being broken into hundreds of micro-services and can use multiple data sources, so applying the traditional practices of monitoring, service configuration, and change control will need to evolve. In this session, we will outline top challenges to operate serverless applications on AWS and demonstrate key operations focused on design patterns.

Balance agility and governance for software procurement and provisioning (Level 200 - Intermediate)

In this session, learn how to use a combination of AWS services to provision, manage, and govern your AWS environments. Discover how AWS Marketplace enables organisations to innovate with third-party offerings while providing visibility and control over these software products as you migrate to and operate in your AWS environment. Explore how AWS Management and Governance services help your organisation maintain agility while enabling you to control costs, compliance, and security. Also, learn about AWS Marketplace features, such as Seller Private Offers, Private Marketplace, and Procurement System Integration, and learn how the AWS Service Catalog helps you govern your software procurement process.

Building resilient applications using chaos engineering on AWS (Level 200 - Intermediate)

With the wide adoption of microservices and large-scale distributed systems, architectures have grown increasingly complex, making them hard to debug and test, and increasing the risk of outages. Fortunately, chaos engineering reveals failures before they become outages. In this session, we introduce chaos engineering and show you how to start practicing it on AWS. We walk through the tools and methods you can use to inject failures into your architecture and make them more resilient to failure.

Cloud-enabled security evolution with Origin Energy (Level 200 - Intermediate)

Moving your business to the cloud is a once-in-a-generation opportunity to significantly evolve your security capability and culture. Origin Energy, Australia’s largest energy retailer, started its cloud journey a few years ago. In this session, Origin Energy’s chief security officer and its security lead for cloud discuss their experience transforming a largely outsourced security capability into an in-house, business-aligned team. Learn how the company builds and runs cloud-native security at scale, at low cost, and with improved security.

The fundamentals of AWS security (Level 200 - Intermediate)

AWS offers an ever-growing landscape of services designed for a wide range of workloads in the cloud. But how do you secure all those different types of workloads? This session, intended for security-minded builders, introduces the fundamental AWS security building blocks that can be simply, easily, and authoritatively applied to anything you build on AWS.

Cloud security for everyone: Multi-account strategy (Level 300 - Advanced)

The cloud enables every business to have enterprise-grade security. Leveraging multiple accounts is an essential security pattern, even in small teams without dedicated security personnel. In this session, we dive deep into the accounts and learn how to configure them. Attendees are expected to have an understanding of the shared responsibility model and IAM.

How Xinja built a neobank on the cloud (Level 400 - Expert)

Xinja is a 100-percent digital cloud-based neobank composed of a microservices architecture built with Kubernetes and Apache Kafka on AWS and hooked into many modern, cloud-based banking, payment, and channel platforms. This session focuses on how Xinja built its technology stack to exceed stringent security, risk, and resiliency requirements. Learn how it established a contemporary cloud network foundation, delivered transaction and deposit accounts with debit card payment capability, and integrated Apple Pay and Google Pay (including PCI DSS compliance). Additionally, hear how Xinja created multiple on-demand data pipelines and worked with APRA to secure its banking license and revolutionise its customers’ banking experience.

Federated access and authorisation made simple (Level 200 - Intermediate)

n this session, learn how to implement attribute-based access control with role-based access control. We discuss how you can use this strategy to ensure that people have the right access to the things they need in their role, and we show you how to simplify their IAM policies in the process. Also learn how automation can deliver the consistency of access and authorisation, and how you can apply this to your environment.

How AFL secures real-time player tracking with encryption (Level 300 - Advanced)

Through the sharing of real-time data and insights about the prevailing game and players, fan engagement in sports has been revolutionised. However, the sensitivity, influence, and impact of such data, as determined by various entities in the sports ecosystem, is critical. In this session, discover how a highly secure application has been designed and implemented not only to appease the various sporting entities, but also to ensure the delivery of data to sporting fans in real time at the scale of AFL viewership.

How to put SecOps to work in your organisation (Level 200 - Intermediate)

Open Universities Australia (OUA) migrated their core business systems to AWS in 2014 and have continued to optimise their environment on AWS. Leveraging AWS tools, OUA have automated responses to security events, limiting intervention of engineering staff, and enabling secure self-service tasks to simplify access to secure systems. In this session, OUA covers what worked, what didn't, and what they learned along the way.

Security best practices: The Well-Architected way (Level 200 - Intermediate)

As you continually evolve your use of AWS, it’s important to consider ways to improve your security posture and take advantage of new security services and features. In this session, you explore architectural patterns for meeting common challenges, learn about service limits, and hear some tips and tricks, as well as learn ways to continually evaluate your architecture against best practices. Automation and tools are featured throughout, and we also include code giveaways!

AI/ML state of the nation (Level 200 - Intermediate)

As we enter a new decade, we take a brief look back at the impact of AI/ML for our customers and outline the areas we expect to be important in the future. We also cover some of the services, patterns, and use cases that have enabled our customers to rapidly adopt AI/ML into their organisations as well as the newer services and features now available for customers to use.

The effortless development of custom computer vision models (Level 300 - Advanced)

Do you want to use computer vision in your projects, but find the idea of training a custom neural network model daunting? Have you used pre-trained computer vision models, but find that these models don’t cover every aspect of your use case? With Amazon Rekognition Custom Labels, you can easily customise existing computer vision models without needing an expert data scientist. Come learn how to prepare your dataset, customise Amazon Rekognition models with your data, and deploy these models in an application. We also discuss the difference between training computer vision models using Amazon Rekognition Custom Labels and doing so using Amazon SageMaker.

Supercharged customer experience with AWS Amplify, Amazon Pinpoint, and Amazon Personalize (Level 300 - Advanced)

In this session, we explore how to leverage data effectively when building engaging web applications like an ecommerce website. We explore how we can easily instrument and send real-time analytics to the backend through the use of AWS Amplify and how we can understand our customers and their personalised preferences with Amazon Pinpoint. Finally, we look at how to integrate Amazon Personalize to provide a real-time recommendation engine.

Fraud detection: Using ML to identify and manage fraudulent activities (Level 200 - Intermediate)

Amazon Fraud Detector is a fully managed service that you can use to identify potentially fraudulent online activities, such as online payment fraud and fake accounts. The service uses ML and 20 years of fraud detection expertise to automatically identify potentially fraudulent activity and enable you to catch more fraud faster. In this session, learn how to use Amazon Fraud Detector to create a fraud detection model with just a few clicks and no prior ML experience. Learn how to implement a customised fraud detection solution for online activities using ML, identify use cases, and implement changes to protect your company and customers.

Building an ML organisation (Level 300 - Advanced)

The advent of AI/ML is reshaping the enterprise and opening new challenges and opportunities. Building an ML-powered organisation requires specific considerations to be successful and avoid the traps of incorrect investment, team structure, unrealistic expectations, and little gains. Get it right and you can redefine the competitive landscape and positively impact the bottom line.

DevOps for data science: Operationalising machine learning (Level 400 - Expert)

Organisations are recognising the importance of cross-functional expertise and efficient tooling when bringing AI-driven products to market. In this session, learn how to build an end-to-end pipeline for continuous delivery of ML models. Also learn how to automate MLOps with Amazon SageMaker and serverless workflows to build, deploy, and monitor models at scale to maximise the business value to your organisation.

AWS DeepRacer: Train, evaluate and tune your reinforcement learning model (Level 300 – Advanced)

In this session, we introduce the basics of reinforcement learning and show you how to apply it to train your own autonomous vehicle models. You also learn how to test them in a virtual car racing scenario powered by AWS DeepRacer. Learn about the single-car time-trial format and the dual-car head-to-head racing challenges in the AWS DeepRacer 3D racing simulator. By the end of this session, you will be able to participate in the AWS DeepRacer League, where you can compete for prizes and meet other machine learning enthusiasts.

Unlabelled data and the rise of reinforcement learning (Level 400 - Expert)

Reinforcement learning (RL) has captured headlines with exceptional feats in the game industry, and we have also seen some amazing RL applications in robotics. It can also be applied whenever you have a problem that requires constant decisions in an uncertain environment. In this session, you learn the types of problems that RL is suitable for, hear about how you can tap into the power of RL using AWS services, and learn some of the best practices and pitfalls of using RL.

Module 1: Introduction to the AWS Cloud

This module covers the value of cloud and the benefits of adopting AWS Cloud.

Module 2: Getting Started with the Cloud

This module covers several of the AWS categories and services – what the services do, when and how to use them.

Module 3: Building in the Cloud

This module covers several services to support building in the cloud from having scalable applications, monitoring your resources, automating deployments, connecting and sharing data, and content delivery.

Module 4: Secure your cloud applications

This module covers how AWS approaches securing the cloud, along with the AWS Shared Responsibility Model, AWS Access Control and Management, AWS Security Compliance Programs, and resources available for you to better understand AWS Cloud security options.

Module 5: AWS Pricing, Support, and Architecting

This module covers fundamentals of AWS support plans, elements of pricing for several key services, as well as architecting on AWS, which includes the Well-Architected Framework and reference architectures for Fault Tolerance & High Availability and Web Hosting.