Kubernetes on AWS Training Course

The on-demand AWS Architect Certification training course is tailored to assist professionals in becoming proficient with Amazon Web Services, enabling them to leverage the cloud effectively. This course uses real-life examples to help participants grasp the practical application of key concepts, including the fundamentals of cloud computing, Amazon Web Services (AWS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), private clouds, and cloud programming. Upon completion, participants will be equipped to implement their own cloud solutions using EC2 instances, S3 buckets, and other AWS resources.

Audience:

This course is tailored for cloud engineers, solution architects, centre of excellence teams, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

Course Objectives:

The primary goal of this course is to equip you with the skills to:

• Apply the fundamental concepts and best practices associated with the DevOps methodology
• Create and manage an AWS infrastructure that supports multiple DevOps development projects
• Leverage AWS CloudFormation and AWS OpsWorks to deploy the necessary infrastructure for setting up development, testing, and production environments in a software development project
• Utilize AWS CodeCommit and explore various options for establishing a Continuous Integration environment on AWS
• Design and implement a Continuous Integration and Delivery pipeline using AWS CodePipeline
• Implement common Continuous Deployment scenarios with AWS technologies, such as blue/green deployment and A/B testing
• Differentiate between the range of application deployment solutions available on AWS (including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and select the most suitable technology for a specific scenario
• Optimize applications deployed on AWS for high performance and use AWS tools to monitor and address potential issues in your application and environment

This 4-day course will cover:

• An understanding of the core AWS services, their applications, and fundamental architecture best practices.
• The ability to design, develop, and deploy cloud-based solutions using AWS.
• Hands-on experience in developing and maintaining applications utilizing Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.

Audience:

This course is designed for cloud engineers, members of the centre of excellence team, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

Upon completion of this training program, participants will be able to deploy and use AWS services from a developer's perspective.

This instructor-led, live training in Taiwan (onsite or remote) is aimed at 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 top of AWS.

This instructor-led, live training in Taiwan (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various 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 Taiwan (onsite or remote) is aimed at developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.).

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

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

This instructor-led, live training in Taiwan provides an overview of AWS products, services and solutions. It is aimed at individuals and teams who are:

• evaluating/preparing for an initial deployment of their IT infrastructure on AWS.
• evaluating/preparing to migrate their existing IT infrastructure to the AWS public cloud.

By the end of this training, participants will have a clear understanding of the principal components that make up Amazon's cloud offering. The hands-on exercises, discussions and in-class deployments will provide participants with the practice and feedback they need to feel comfortable and prepared to carry out their own live deployments to AWS.

DO180 is an introductory course on containers, Kubernetes fundamentals, and the Red Hat OpenShift platform, focusing on hands-on skills development.

This instructor-led, live training (available online or onsite) is designed for technical professionals at beginner to intermediate levels who are interested in learning container workflows, Kubernetes basics, and how to deploy and manage applications on OpenShift.

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

• Create and manage container images and registries using best practices for reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services within OpenShift.
• Leverage OpenShift features like routes, build configurations, and the web console to streamline application delivery processes.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply fundamental security measures, role-based access control (RBAC), and monitoring practices to ensure healthy clusters and applications.

Course Format

• Interactive lectures and discussions.
• Hands-on labs in a live OpenShift environment every day.
• Scenario-driven exercises and troubleshooting workshops.

Customization Options for the Course

• To request a customized training program, please contact us to arrange.

This instructor-led, live training in Taiwan (online or onsite) is aimed at advanced-level professionals who wish 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.
• Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Taiwan (online or onsite) is aimed at 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.
• Optimize serverless applications for performance and cost efficiency.

This instructor-led, live training in Taiwan (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.

Summary:

• Introduction to the fundamentals of IoT architecture and its functions
• Understanding "Things," "Sensors," the Internet, and their alignment with business functions in IoT
• Key components of IoT software: hardware, firmware, middleware, cloud, and mobile applications
• IoT functionalities including fleet management, data visualization, SaaS-based fleet management and data visualization, alerts and alarms, sensor onboarding, device onboarding, and geo-fencing
• Basics of IoT device communication with the cloud using MQTT
• Connecting IoT devices to AWS using MQTT (AWS IoT Core)
• Integrating AWS IoT Core with AWS Lambda for data processing and storage
• Linking Raspberry PI to AWS IoT Core for basic data communication
• Handling alerts and events in IoT systems
• Sensor calibration techniques

Summary:

• Overview of the fundamental architecture and functionalities of IoT
• Understanding "Things," "Sensors," the Internet, and their alignment with business functions in IoT
• Key components of IoT software, including hardware, firmware, middleware, cloud, and mobile applications
• IoT functionalities such as fleet management, data visualization, SaaS-based fleet management and data visualization, alerts/alarms, sensor onboarding, device onboarding, and geo-fencing
• Basic principles of IoT device communication with the cloud using MQTT
• Connecting IoT devices to AWS through MQTT (AWS IoT Core)
• Integrating AWS IoT Core with AWS Lambda for computation and data storage using DynamoDB
• Linking a Raspberry PI to AWS IoT Core for simple data transmission
• Practical hands-on experience with Raspberry PI and AWS IoT Core to develop a smart device
• Data visualization from sensors and communication through a web interface

This instructor-led, live training in Taiwan (online or onsite) is aimed at beginner-level to intermediate-level software developers and DevOps professionals who wish 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.
• Understand the basic concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Utilize Minikube for developing, testing, and debugging applications.

This instructor-led, live training in Taiwan (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to use Minikube as a part of their development workflow.

By the end 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.
• Optimize their development process using Minikube's advanced features.
• Apply best practices for local Kubernetes development.