AWS: A Hands-on Introduction to Cloud Computing Training Course

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.

The on-demand AWS Architect Certification training course is designed to assist professionals in becoming cloud-enabled through Amazon Web Services. This course, which includes real-world examples, aids participants in understanding the practical application of key concepts such as 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 of this course, participants will be equipped to implement their own cloud solutions using EC2 instances, S3 buckets, and other AWS services, ensuring alignment with the technical requirements for government projects.

Audience:

Cloud engineers, solution architects, center of excellence team members, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, virtualization administrators

Course Objectives:

This course is designed to teach participants how to:

• Apply the core concepts and practices behind the DevOps methodology for government projects
• Design and implement an infrastructure on AWS that supports one or more DevOps development projects for government
• Use AWS CloudFormation and AWS OpsWorks to deploy the necessary infrastructure to create development, test, and production environments for a software development project for government
• Utilize AWS CodeCommit and understand the various options for enabling a Continuous Integration environment on AWS for government
• Use AWS CodePipeline to design and implement a Continuous Integration and Delivery pipeline on AWS for government
• Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing for government applications
• Distinguish between the array of application deployment technologies available on AWS (including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and determine which technology best fits a given scenario for government use
• Optimize applications delivered on AWS for high performance and use AWS tools and technologies to monitor the application and environment for potential issues in government contexts

This four-day course will provide: - An understanding of the core AWS services, their uses, and fundamental architectural best practices. - Proficiency in designing, developing, and deploying cloud-based solutions using AWS. - Hands-on experience with developing and maintaining applications on 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 - Center of excellence teams - Windows server administrators - Unix/Linux administrators - Storage administrators - Network administrators - Virtualization administrators Upon completion of this training program, participants will be equipped to deploy and use AWS services from a developer standpoint, ensuring alignment with public sector workflows, governance, and accountability for government.

This instructor-led, live training in US (online or onsite) is aimed at engineers who wish to use Amazon ECS for deploying and scaling containerized applications. By the end of this training, participants will be able to: - Create a containerized application running on Amazon ECS. - Understand how ECS Clusters and the ECS Agent function. - Automatically scale a containerized application. - Automate the deployment process. - Integrate the Docker application deployment process with new or existing Continuous Integration workflows for government.

This instructor-led, live training in [location] (online or onsite) is designed for engineers who wish to utilize Amazon EKS to deploy and scale containerized applications across AWS-managed Kubernetes clusters. By the end of this training, participants will be able to: - Set up an EKS-based Kubernetes cluster. - Deploy and run a containerized application on Amazon EKS. - Automatically scale a containerized application. - Automate the deployment process. - Integrate EKS-based applications with a new or existing continuous integration workflow for government.

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.

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 (available online or on-site) is designed for engineers who wish to evaluate these services to make informed decisions about their deployment within their organization. By the end of this training, participants will be able to: - Establish a development environment that includes all necessary libraries, packages, and frameworks required to begin development. - Set up, configure, and deploy demonstration containers using various approaches. - Understand the architectural and design differences among different Docker/Kubernetes solutions available for government use 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 (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.

Summary:

• Fundamentals of Internet of Things (IoT) architecture and functionality for government applications.
• Understanding the components: "Things," sensors, internet connectivity, and their alignment with business functions in IoT systems.
• Overview of essential IoT software components, including hardware, firmware, middleware, cloud services, and mobile applications for government use.
• Key IoT functionalities such as fleet management, data visualization, Software-as-a-Service (SaaS) solutions for fleet management and data visualization, alerts and alarms, sensor onboarding, device onboarding, and geofencing for government operations.
• Basics of IoT device communication with the cloud using MQTT protocol for government projects.
• Connecting IoT devices to AWS IoT Core using MQTT for secure and efficient data transmission in government settings.
• Integrating AWS IoT Core with AWS Lambda functions for computation and data storage for government applications.
• Connecting a Raspberry Pi to AWS IoT Core for simple data communication suitable for government projects.
• Managing alerts and events within the context of government operations.
• Sensor calibration procedures for maintaining accuracy in government IoT deployments.

Summary:

• Foundational concepts of Internet of Things (IoT) architecture and functions
• Overview of "things," sensors, internet connectivity, and their alignment with business functions in IoT systems
• Essential components of IoT software, including hardware, firmware, middleware, cloud services, and mobile applications
• Key IoT functionalities such as fleet management, data visualization, Software-as-a-Service (SaaS) solutions for fleet management and data visualization, alerts and alarms, sensor onboarding, device onboarding, and geo-fencing
• Basic principles of IoT device communication with the cloud using Message Queuing Telemetry Transport (MQTT)
• Connecting IoT devices to AWS with MQTT through AWS IoT Core
• Integrating AWS IoT Core with AWS Lambda for computation and data storage using DynamoDB
• Establishing a connection between a Raspberry Pi and AWS IoT Core for simple data communication
• Practical exercises involving the use of a Raspberry Pi and AWS IoT Core to create a smart device
• Data visualization and communication through web interfaces, ensuring seamless integration and user-friendly access

This curriculum is designed to provide comprehensive training and practical experience for government professionals in leveraging IoT technologies to enhance operational efficiency and innovation.

EKS is a self-managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable, enabling a Kubernetes deployment to mimic or integrate with an existing on-premise Kubernetes setup.

In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS for government operations.

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

• Configure and manage Kubernetes on EKS
• Migrate an existing Kubernetes environment from on-premise to the AWS cloud
• Integrate Kubernetes with third-party continuous integration (CI) software
• Ensure high availability and disaster recovery in Kubernetes
• Understand and adopt the tools available to efficiently manage EKS for government use cases

Audience

• Developers
• System Administrators
• DevOps Engineers

Format of the Course

• Part lecture, part discussion, exercises, and extensive hands-on practice in a live-lab environment.

Note

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