Docker and Kubernetes on AWS Training Course

This instructor-led, live training in US (online or onsite) is designed for cloud engineers and developers who wish to utilize CloudFormation to manage infrastructure resources within the AWS ecosystem for government.

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

• Implement CloudFormation templates to automate infrastructure management for government operations.
• Integrate existing AWS resources into CloudFormation to enhance governance and accountability.
• Use StackSets to manage stacks across multiple accounts and regions, ensuring consistent deployment and compliance for government workflows.

Amazon Redshift is a petabyte-scale cloud-based data warehouse service provided by AWS.

In this instructor-led, live training, participants will gain a comprehensive understanding of Amazon Redshift fundamentals.

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

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

Audience

• Developers
• IT Professionals

Format of the Course

• A combination of lectures, discussions, exercises, and extensive hands-on practice

Note

• To request a customized training for government or other specific needs, please contact us to arrange.

This instructor-led, live training in [location] (available online or on-site) is designed for government developers who wish to utilize Amazon S3 to facilitate cloud-based storage for their websites, web applications, and mobile applications for government use.

This instructor-led, live training in [location] (online or onsite) is designed for beginner-level to intermediate-level system administrators and IT professionals who wish to gain hands-on experience in managing AWS cloud services and prepare for the AWS Certified SysOps Administrator - Associate exam. By the end of this training, participants will be able to: - Set up and configure AWS services and resources securely. - 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. - Optimize AWS service usage to ensure efficient operation and cost management, aligning with best practices for government agencies.

This instructor-led, live training in US (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 those found in the AWS Certified Solutions Architect (Professional) level courses. However, this course is not designed to prepare participants for an exam; instead, it provides a hands-on, practical approach that demonstrates how to implement various configurations, implementations, and deployments in a live lab environment, similar to what an AWS Solutions Architect would need to perform. 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, optimization, and deployment of infrastructure and applications on AWS, ensuring alignment with public sector workflows, governance, and accountability for government use.

This instructor-led, live training in [location] (onsite or remote) is designed for engineers who wish to deploy and manage IoT devices on AWS for government use. By the end of this training, participants will be able to construct an IoT platform that encompasses the deployment and management of a backend, gateway, and devices utilizing AWS services.

This instructor-led, live training in US (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices for government use.

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, ensuring alignment with public sector workflows and governance.

This instructor-led, live training in [location] (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 provision the execution environment (servers, VMs, 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 for government applications. - Build, upload, and execute AWS Lambda functions. - Integrate Lambda functions with various event sources. - Package, deploy, monitor, and troubleshoot Lambda-based applications.

DO180 is an introductory course on containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, with a focus on practical, hands-on skills development.

This instructor-led, live training (available both online and onsite) is designed for beginner to intermediate technical professionals who are interested in learning container workflows, Kubernetes basics, 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 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 enhance application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply basic 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 each day.
• Scenario-driven exercises and troubleshooting workshops.

Customization Options for Government

• To request a customized training tailored to the specific needs of your agency, please contact us to arrange.

This instructor-led, live training in [location] (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 for government. By the end of this training, participants will be able to: - Set up and configure AWS Cloud9 to support 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 for government. - Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training (online or onsite) 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 developing serverless applications. - 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, ensuring alignment with public sector workflows and governance standards for government.

This instructor-led, live training in [location] (online or onsite) is designed for engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications for government. 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:

• Overview of the fundamental architecture and functionalities of the Internet of Things (IoT)
• Understanding the roles of "things," sensors, the internet, and their alignment with business functions in IoT
• Comprehensive examination of essential IoT software components: hardware, firmware, middleware, cloud services, and mobile applications
• Key IoT functionalities including fleet management, data visualization, Software as a Service (SaaS)-based solutions for fleet management and data visualization, alerts and alarms, sensor onboarding, device onboarding, and geofencing
• Basics of IoT device communication with the cloud using the Message Queuing Telemetry Transport (MQTT) protocol
• Steps to connect IoT devices to AWS using MQTT through AWS IoT Core
• Integration of AWS IoT Core with AWS Lambda functions for data processing and storage in DynamoDB
• Demonstration of connecting a Raspberry Pi to AWS IoT Core and facilitating basic data communication
• Practical hands-on experience with Raspberry Pi and AWS IoT Core to develop a smart device
• Techniques for visualizing sensor data and enabling communication through web interfaces, tailored for government use cases

This instructor-led, live training in US (online or onsite) is designed for government software developers and DevOps professionals at the beginner to intermediate level 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 fundamental concepts and architecture of Kubernetes for government use. - Deploy and manage containers using kubectl and the Minikube dashboard. - Set up persistent storage and networking solutions for Kubernetes in a government context. - Utilize Minikube for developing, testing, and debugging applications for government projects.

This instructor-led, live training (online or onsite) is designed for intermediate-level developers and DevOps engineers who wish to incorporate Minikube into their development workflows for government. 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 for government. - Optimize their development process using Minikube's advanced features. - Apply best practices for local Kubernetes development in alignment with public sector standards.