Kubernetes on AWS Training Course

Amazon Redshift is a cloud-based data warehouse service in AWS designed to handle petabyte-scale datasets.

In this instructor-led live session, participants will gain an understanding of the basics of Amazon Redshift.

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

• Set up and configure Amazon Redshift
• Load, manage, deploy, query, and visualize data using Amazon Redshift

Audience

• Developers
• IT Professionals

Course Format

• The course includes lectures, discussions, exercises, and extensive hands-on practice.

Note

• To arrange a customized training for this course, please contact us.

This four-day course will cover:

• An overview of key AWS services, their applications, and fundamental best practices for architecture design.
• The skills needed to plan, create, and implement cloud-based solutions using AWS.
• Hands-on experience with developing and managing applications on Amazon Simple Storage Service (S3), Amazon DynamoDB, Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), Amazon Simple Workflow Service (SWF), AWS Elastic Beanstalk, and AWS CloudFormation.

Audience:

Cloud engineers, center of excellence team members, 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 utilize AWS services from a developer's perspective.

This instructor-led, live training in the UAE (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 the UAE (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 the UAE (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 the UAE 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 introduction to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts focused on hands-on skills.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level technical professionals who wish to learn container workflows, Kubernetes primitives, and 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 with best practices for reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services in OpenShift.
• Use OpenShift features including routes, buildconfigs, and the web console to streamline application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply basic security, RBAC, and monitoring practices to maintain healthy clusters and applications.

Format of the Course

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

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in the UAE (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 (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.

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

• Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
• Set up, configure and deploy a series of demo containers using a number of different approaches.
• Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Set up a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

This instructor-led, live training in the UAE (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 the UAE (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:

• Fundamentals of IoT architecture and operations
• The roles of "Things," "Sensors," the Internet, and their alignment with business functions in IoT
• Necessities for all IoT software elements—hardware, firmware, middleware, cloud services, and mobile applications
• IoT capabilities including fleet management, data visualization, SaaS-based FM and DV, alerts/alarms, sensor integration, "thing" registration, geo-fencing
• Basics of IoT device interaction with the cloud using MQTT.
• Linking IoT devices to AWS via MQTT (AWS IoT Core).
• Integrating AWS IoT core with AWS Lambda for processing and data storage.
• Connecting a Raspberry PI to AWS IoT core and facilitating basic data exchange.
• Notifications and event management
• Sensor calibration procedures

Summary:

• Fundamentals of IoT architecture and its functionalities
• The roles of “Things,” “Sensors,” the Internet, and their alignment with business functions in IoT
• Necessities of all IoT software components including hardware, firmware, middleware, cloud services, and mobile applications
• IoT capabilities such as fleet management, data visualization, SaaS-based FM and DV, alerts/alarms, sensor integration, device registration, geo-fencing
• Basics of how IoT devices communicate with the cloud using MQTT.
• Connecting IoT devices to AWS utilizing MQTT (AWS IoT Core).
• Integrating AWS IoT core with AWS Lambda functions for computation and data storage via DynamoDB.
• Linking Raspberry PI to AWS IoT core for simple data exchange.
• Practical experience in building a smart device using Raspberry PI and AWS IoT Core.
• Data visualization from sensors and communication through a web interface.

This instructor-led, live training in the UAE (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 the UAE (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.