In our first Windows webinar, find out about the benefits of migrating your Windows workloads to AWS. During the session, we will explain why AWS makes your Windows applications faster, more reliable and more secure. He will also talk about how to bring your own license (BYOL), how to architect, deploy, and manage your Windows platforms on AWS.

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Learn best practices for architecting fully available and scalable Microsoft solutions and environments on AWS. Find out how Microsoft solutions can leverage various AWS services to achieve more resiliency, replace unnecessary complexity, simplify architecture, provide scalability, introduce DevOps concepts, automation, and repeatability.

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Learn how SQL Server on AWS gives you complete control over every setting, without the maintenance, backup and patching requirements of traditional on-site solutions. Discover how to provision and monitor your SQL Server databases in both Amazon RDS and Amazon EC2, and how to optimise scalability, performance, availability, security and disaster recovery.

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Amazon Web Services (AWS) offers a wide range of database options to fit your application requirements. From database services that are fully managed and that can be launched in minutes with just a few clicks to self-managed databases running on EC2. AWS managed database services include Amazon Relational Database Service (Amazon RDS), with support for six commonly used database engines, Amazon Aurora, a MySQL and PostgreSQL-compatible relational database, Amazon DynamoDB, a NoSQL database service or Amazon Redshift, a petabyte-scale data warehouse service. AWS also provides the AWS Database Migration Service, a service which makes it easy and inexpensive to migrate your databases to AWS cloud.

In this webinar, we take a closer look at the AWS database offerings and learn how to quickly select, set up, operate, and scale your database in the cloud.

Learning Objectives:

• Gain insights into the AWS database offering and know which to select for your workload.

• Learn how the AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS) can facilitate and simplify migrating your business critical applications to Amazon Web Services.

• Learn how Amazon DynamoDB Accelerator (DAX) can reduce Amazon DynamoDB response times from milliseconds to microseconds, even at millions of requests per second.

• Hear from our partners like Version1 and Clckwrk who can help you in your journey towards Database freedom.

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Data warehousing is a critical component for analysing and extracting actionable insights from your data. Amazon Redshift allows you to deploy a scalable data warehouse in a matter minutes and start to analyse your data right away using your existing business intelligence tools. It’s a fast, fully-managed, and cost-effective data warehousing system. You can analyse all your data using standard SQL and your existing Business Intelligence (BI) tools. Amazon Redshift also includes Redshift Spectrum, allowing you to directly run SQL queries against exabytes of unstructured data in Amazon S3. In this webinar, you will learn how to migrate from existing data warehouses, optimise schemas and load data efficiently. We will also cover analytics tools to help you build visualisations, perform ad-hoc analysis and quickly get business insights from your data.

Learning Objectives:

• Discover best practices for building a data warehouse using Amazon Redshift

• Learn to use Amazon QuickSight for Business Intelligence and AWS Glue for ETL.

• Hear from Redshift competency partners who can help you with all your data warehousing needs with Amazon Redshift.

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Today’s organisations require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lake is a new and increasingly popular way to store all of your data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.

Join this webinar to discover how AWS gives you fast access to flexible and low-cost IT resources, so you can rapidly scale and build your data lake that can power any kind of analytics such as data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing regardless of volume, velocity and variety of data.

Learning Objectives:

• Discover how you can rapidly scale and build your data lake with AWS.

• Explore the key pillars behind a successful data lake implementation.

• Learn how to use the Amazon Simple Storage Service (S3) as the basis for your data lake.

• Learn about the new AWS services recently launched, Amazon Athena and Amazon Redshift Spectrum, that help customers directly query that data lake.

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Leading enterprise customers are running their entire SAP landscapes, including production environments, on Amazon Web Services (AWS) to increase business agility and reduce costs. In this overview webinar, you will learn about:

  • Case studies from Fortune 50 companies on how they are adopting AWS for their SAP workloads
  • The benefits of moving SAP workloads to AWS
  • Typical SAP solutions deployed on AWS
  • How AWS can support customers’ most demanding SAP environments
  • Methods to fast-track an SAP HANA® implementation — break barriers and move to SAP HANA in less than 48 hours
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Amazon Web Services (AWS) provides many options for running hyperscale SAP solutions in the cloud. Additionally, the majority of SAP on-premise products can be run on AWS, including all major RDBMS platforms and Windows/Linux OS platforms. Join this webinar to discover more about these capabilities and services, and how you can use them to deploy your SAP estate on AWS. You can also learn the benefits of running your SAP workloads on AWS and how our customers have leveraged this to achieve real-world business benefits.

Learning Objectives:

  • Overview of SAP solutions supported on AWS
  • Overview of core AWS services for SAP workloads
  • Benefits of deploying SAP on AWS
  • Examples of how customers are running SAP workloads on AWS
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Join this webinar to find out how Amazon Web Services (AWS) provides hyperscale cloud infrastructure for running SAP HANA. You will learn about the features of SAP and AWS that support multi-terabyte OLTP and OLAP workloads on HANA, which can be deployed quickly and simply using our QuickStart guides. Additionally, you will discover how to deploy large SAP HANA estates on AWS based on multiple migration options, and how to leverage AWS services to build flexible, redundant, high-availability architectures.

Learning Objectives:

  • Discover which SAP HANA solutions are supported on AWS
  • Learn how to rapidly scale up and out with SAP HANA on AWS
  • Gain the knowledge needed to deploy SAP HANA on AWS with confidence
  • Find out how to optimise SAP HANA workloads for AWS
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Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to get started with Artificial Intelligence on the AWS Cloud. In particular, we will explore AWS cloud-native machine learning and deep learning technologies that address a range of different use cases and needs. These include AWS Lex, which provides natural language understanding (NLU) and automatic speech recognition (ASR); Amazon Rekognition, which provides visual search and image recognition capabilities; Amazon Polly for text-to-speech (TTS) capabilities; and Amazon Machine Learning tools. The session will also cover the AWS Deep Learning AMI, which lets you run deep learning in the cloud at any scale. You can use launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to run sophisticated AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances.

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Learn how to build an end-to-end smart application in the AWS Cloud in this webinar on Amazon Machine Learning (Amazon ML). During the session, we will show you how to create machine learning models, deploy them to production, and obtain predictions in real-time. We will also walk you through the process of building a complete smart application using Amazon ML, AWS IoT, and AWS Lambda, as well as covering the process flow, architecture and code needed for Amazon ML implementation. With information about using Amazon ML and integrating it into your applications, this session will prepare you to take full advantage of predictive analytics in the cloud.

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In recent months, Artificial Intelligence has become the hottest topic in the IT industry. In this session, we’ll explain how Deep Learning — a subset of AI — differs from traditional Machine Learning, and how AWS customers use it to solve complex problems such as computer vision and natural language processing. Then, using Python code, we’ll show you how to start writing and training models using Apache MXNet, a popular library for Deep Learning which supports both CPUs and GPUs. Finally, we’ll demonstrate how you can achieve excellent results quickly by using state-of-the-art, pre-trained models.

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Artificial Intelligence (AI) is enhancing many of the services that we interact with today. It can improve the customer experience of many services to make them more accessible, whilst providing information faster in a format that feels more natural.

AWS provides a collection of highly scalable, pre-trained and pre-tuned managed AI services that you can adopt without any previous artificial intelligence or deep learning knowledge. In this webinar, Steve explains how to implement each of these services to improve the user journey for a flight booking and check-in system.

The AWS solutions discussed here include Amazon Polly, which provides audio instructions for sight-impaired users and Amazon Rekognition, which provides an additional layer of security during the check-in process, matching users with customer data on file. Finally, Amazon Lex is used to enable customers to make future flight bookings using only their voices.

Learning objectives:

  • Understand why you may wish to use AI in your applications today
  • Identify the common AI challenges and practical use cases for Amazon AI services
  • Implement Amazon AI services without a PhD or Data Science background
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You have already started connecting your devices to AWS IoT. You can control them from the cloud. And you can collect, store and analyse data from all your devices in the cloud. So far so good, but you now need to build an architecture that will serve millions of users and devices concurrently.

In this session, learn how you can build a real world IoT architecture that serves millions of devices. The talk will focus on user and device onboarding, device and user access management, message exchange and end user access to live and historical data stored in the cloud.

Learning objectives:

  • Learn simple steps to build a real-world IoT architecture that serves millions of devices
  • Understand how to onboard and manage users and IoT devices and to access live and historial data in the cloud
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IoT can give you great insight into consumer behaviour and demand, helping to you create the innovative, revenue-generating services of the future. However, there are still lots of challenges around collecting data from devices, which often have significant limitations in terms of processing power, memory and interfaces.

In this presentation, Danilo talks about how Amazon AI services can be used to augment device capabilities to make data collection, storage and analytics easier. He also considers how people can start interacting with machines in a more natural way, for example using natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS).

Learning objectives:

  • Learn how to design IoT solutions using services such as AWS Greengrass and AWS IoT
  • Gain insights into practical use cases for Amazon AI services
  • Understand the possibilities of using AI from an IoT device
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If you knew the state of everything in the world, and could apply logic on top of the data, what problems could you solve?

AWS IoT Services help you collect and send data to the cloud, make it easy to load and analyse that information, and provide the ability to manage your devices, so you can focus on developing applications that fit your needs.

Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning provides visualisation tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology.

In this webinar, Neeraj explains how you can use AWS IoT and Amazon Machine Learning together to build smart IoT applications. We will demonstrate how to setup Amazon Machine Learning, create and train Machine Learning models for your applications. We will then use these models in our IoT Applications, in real time.

  • Learning objectives:
  • Understand why you may use Amazon Machine Learning with IoT and how to set it up.
  • Understand how to use IoT Rules Engine
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If you want to deploy your workloads without the burden of managing servers or operating systems, this webinar is for you. During the session, we will explore four re-usable serverless architectural patterns for supporting web apps, stream processing apps, batch processing apps, and automation apps. For each pattern, we provide a TCO analysis and comparison with the server-based equivalent. We also discuss the considerations and nuances associated with each pattern, with AWS customers sharing their experiences of deploying them. The information covered in the webinar is relevant for architects, system operators, and anyone looking for a better understanding of how serverless architectures can help them save money and improve agility.

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Do you want to run your code without the cost and effort of provisioning and managing servers? Find out how in this deep dive session on AWS Lambda, which allows you to run code for virtually any type of application or backend service – all with zero administration. During the session, we’ll look at a number of key AWS Lambda features and benefits, including automated application scaling with high availability; pay-as-you-consume billing; and the ability to automatically trigger your code from other AWS services or from any web or mobile app. Join us on the day and take your serverless computing strategy to the next level.

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Learn how you can help maintain control of your environment by choosing the right AWS security tools with this introductory webinar. We will show you how AWS Identity and Access Management (IAM), AWS Config Rules, and AWS Cloud Trail can help you maintain that control. You will discover how to track changes, monitor compliance, and keep an audit record of API requests.

Learning Objectives:

  • Learn what IAM is and how to leverage it appropriately.
  • Gain familiarity with how to track changes and monitor for compliance.
  • Keep an audit record of API requests for reporting purposes.
  • Understand how these services complement each other.
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This AWS Security Checklist webinar will help you and your auditors assess the security of your AWS environment in accordance with industry or regulatory standards. This security focused checklist builds on recently revised Operational Checklists for AWS, which helps you evaluate your applications against a list of best practices before deployment.

  • Learning Objectives:
  • Evaluate the ability of AWS services to meet information security objectives and ensure future deployments within the AWS cloud are done in a secure and compliant way
  • Assess your existing organisational use of AWS and to ensure it meets security best practices
  • Develop AWS usage policies or validate that existing policies are being followed
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With security-relevant services such as AWS Config, VPC Flow Logs, Amazon CloudWatch Events, and AWS Lambda, you now have the ability to automatically respond to and process security events that may occur within your AWS environment. These including prevention, detection, response, and remediation. This session covers the process of automating security event response using various AWS building blocks, gaining confidence in your coverage by proactively testing security monitoring and response effectiveness before anyone else does.

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AWS provides a range of security services and features that AWS customers can use to secure their content and applications and meet their own specific business requirements for security. This presentation focuses on how you can make use of AWS security features to meet your own organisation's security and compliance objectives.

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Security of big data workloads in a hybrid IT environment often comes as an afterthought. This session discusses how enterprises can architect secure, big-data workloads on AWS. We cover the application of authentication, authorization, encryption, and additional security principles and mechanisms to workloads leveraging Amazon Elastic MapReduce (EMR) and Amazon Redshift.

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Whether it is per business unit or per application, many AWS customers use multiple accounts to meet their infrastructure isolation and billing requirements. In this session, we discuss considerations, limitations, and security patterns when building out a multi-account strategy. We explore topics such as identity federation, cross-account roles, consolidated logging, and account governance.  

At the end of the session, we present an enterprise-ready, multi-account architecture that you can start leveraging today.

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Meet security-sensitive requirements faster. AWS provides several security capabilities and services to increase privacy and control network access that enable private or dedicated connections from your on-premises environment. In addition to the already secure AWS Cloud, AWS Marketplace offers industry-leading solutions to help you secure operating systems, platforms, applications and data that can integrate with existing controls in your AWS Cloud and hybrid environments.

Learning objectives:

  • Learn about Marketplace security policies to ensure AWS Marketplace product security (Managed Catalog Operations)
  • Explore Security applications: vendor-enforced best-practices
  • Augmenting AWS Security offerings with Marketplace products.
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Organisations looking to secure their DevOps workflows and web applications on AWS benefit from security solutions that offer greater visibility and control over their cloud environments. These solutions offer features that include continuous monitoring and detection capabilities, as well as automation for workload and app security to protect from threats without slowing down the iterative process of the DevOps team.

AWS Security partners can help you deploy automated and scalable security solutions built for the cloud that are designed to grow alongside your infrastructure.

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Does meeting stringent compliance requirements keep you up at night? Do you worry about having the right audit trails in place as proof?

In this session, you will learn why building security in from the beginning saves you time (and painful retrofits) later, how to gather and retain audit evidence for instances that are only up for minutes or hours, and how to meet many compliance requirements and ensured that Amazon EC2 instances are immediately protected as they come online.

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To watch other on-demand webinars, visit the Amazon Web Services Webinar Channel.

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