Docker and Kubernetes on AWS Training Course

This instructor-led, live training in New Zealand (available online or on-site) is designed for cloud engineers and developers who wish to utilise CloudFormation to manage infrastructure resources within the AWS ecosystem.

By the conclusion of this training, participants will be able to:

• Implement CloudFormation templates to automate infrastructure management.
• Integrate existing AWS resources into CloudFormation.
• Use StackSets to manage stacks across multiple accounts and regions.

Amazon Redshift is a petabyte-scale, cloud-based data warehouse service available on AWS.

In this instructor-led, live training, participants will explore the fundamentals of Amazon Redshift.

By the end of this training, participants will be able to:

• Install and configure Amazon Redshift
• Load, configure, deploy, query, and visualise data using Amazon Redshift

Audience

• Developers
• IT Professionals

Course Format

• A blend of lecture, discussion, exercises, and extensive hands-on practice

Note

• To request a customised training session for this course, please contact us to make arrangements.

This instructor-led, live training in New Zealand (online or on-site) is designed for developers who wish to use Amazon S3 to enable cloud-based storage for their websites, web applications and/or mobile applications.

This instructor-led, live training in New Zealand (online or on-site) is designed for beginner to intermediate-level system administrators and IT professionals seeking practical experience in managing AWS cloud services and preparing for the AWS Certified SysOps Administrator – Associate exam.

By the conclusion of this training, participants will be able to:

• Securely set up and configure AWS services and resources.
• Manage user identities, permissions, and access to AWS resources.
• Design and deploy scalable, highly available, and fault-tolerant systems on AWS.
• Implement and manage data flow to and from AWS.
• Optimise AWS service usage to ensure efficient operations and effective cost management.

This instructor-led, live training in New Zealand (online or onsite) is aimed at cloud engineers who wish to understand and implement the more complex aspects of AWS architecture. The course covers many of the same topics as the AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants to sit an exam. It is a hands-on, practical course that demonstrates how to implement, in a live lab environment, many of the configurations, implementations, and deployments that an AWS Solutions Architect would need to carry out.

By the end of this training, participants will be able to:

• Design complex cloud solutions on AWS.
• Deploy software applications on AWS that are scalable, highly available, and fault-tolerant.
• Integrate the most appropriate AWS services with an application.
• Migrate a complex software application to AWS.
• Apply best practices to the design, implementation, optimisation, and deployment of infrastructure and applications on AWS.

This instructor-led, live training in New Zealand (on-site or remote) is designed for engineers who wish to deploy and manage IoT devices on AWS.

By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on AWS.

This instructor-led, live training in New Zealand (online or on-site) is designed for developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to build applications for a variety of devices.

By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.

This instructor-led, live training in New Zealand (on-site or remote) is designed for developers who wish to leverage AWS Lambda to build and deploy services and applications to the cloud, without concerning themselves with provisioning the execution environment (servers, virtual machines, containers, availability, scalability, storage, and so on).

By the conclusion of this training, participants will be able to:

• Configure AWS Lambda to execute a function.
• Understand FaaS (Functions as a Service) and the benefits of serverless development.
• Build, upload, and execute AWS Lambda functions.
• Integrate Lambda functions with various event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

DO180 provides an introduction to containers, the fundamentals of Kubernetes, and key concepts of the Red Hat OpenShift platform, with a strong emphasis on practical, hands-on skills.

This instructor-led, live training (available online or on-site) is designed for technical professionals at beginner to intermediate levels who wish to master container workflows, understand Kubernetes primitives, and learn how to deploy and operate applications on OpenShift.

By the end of this training, participants will be able to:

• Build and manage container images and registries, applying best practices to ensure reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services within the OpenShift environment.
• Utilise OpenShift features, including routes, buildconfigs, and the web console, to streamline application delivery.
• Implement persistent storage, configuration management, and secrets handling to support stateful workloads.
• Apply foundational security measures, role-based access control (RBAC), and monitoring practices to maintain healthy clusters and applications.

Course Format

• Interactive lectures and group discussions.
• Daily hands-on labs conducted in a live OpenShift environment.
• Scenario-driven exercises and troubleshooting workshops.

Course Customisation Options

• To request a customised version of this training, please contact us to arrange.

This instructor-led, live training in New Zealand (available online or on-site) is designed for advanced-level professionals seeking to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for DevOps workflows.
• Implement continuous integration and continuous delivery (CI/CD) pipelines.
• Automate testing, monitoring, and deployment processes using AWS Cloud9.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Utilise source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in New Zealand (delivered online or on-site) is designed for intermediate-level professionals who wish to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

By the end of this training, participants will be able to:

• Understand the fundamentals of serverless architecture.
• Set up AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services such as API Gateway and S3.
• Optimise serverless applications for performance and cost efficiency.

This instructor-led, live training in New Zealand (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications.

By the end of this training, participants will be able to:

• Install and configure Helm.
• Create reproducible builds of Kubernetes applications.
• Share applications as Helm charts.
• Run third-party applications saved as Helm charts.
• Manage releases of Helm packages.

Overview:

• Foundations of IoT architecture and core functions
• Understanding 'Things', 'Sensors', the Internet, and how they align with business functions
• Essential components of IoT software stacks: hardware, firmware, middleware, cloud, and mobile applications
• Key IoT capabilities: fleet management, data visualisation, SaaS-based fleet management and visualisation, alerting and alarms, sensor onboarding, 'thing' onboarding, and geo-fencing
• Basics of IoT device communication with the cloud using MQTT.
• Connecting IoT devices to AWS via MQTT (AWS IoT Core).
• Integrating AWS IoT Core with AWS Lambda for computation and storing data in DynamoDB.
• Connecting Raspberry Pi to AWS IoT Core for simple data exchange.
• Practical workshop: building a smart device using Raspberry Pi and AWS IoT Core.
• Visualising sensor data and enabling communication via a web interface.

This instructor-led, live training in New Zealand (online or on-site) is designed for beginner to intermediate-level software developers and DevOps professionals who want to learn how to set up and manage a local Kubernetes environment using Minikube.

By the end of this training, participants will be able to:

• Install and configure Minikube on their local machine.
• Grasp the core concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Leverage Minikube for developing, testing, and debugging applications.

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level developers and DevOps engineers who wish to incorporate Minikube into their development workflows.

By the conclusion of this training, participants will be able to:

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimise their development processes by leveraging Minikube's advanced features.
• Apply best practices for local Kubernetes development.