Amazon EKS (AWS EKS) 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.

AWS (Amazon Web Services) is a comprehensive cloud platform that provides compute, storage, database, networking, security, and managed services to build scalable and resilient architectures.

This instructor-led, live training (online or onsite) is designed for intermediate-level to advanced-level solutions architects and cloud engineers who wish to design secure, cost-effective, and well-architected solutions on AWS.

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

• Design scalable, highly available architectures on AWS using best-practice patterns.
• Select appropriate AWS services for compute, storage, database, and networking needs.
• Implement security, identity, and compliance controls in multi-account environments.
• Optimize cost and performance while ensuring operational excellence.
• Develop high-level and detailed architecture diagrams and migration plans.

Format of the Course

• Interactive lectures and architectural discussions.
• Instructor-led console demonstrations and diagram reviews.
• Hands-on design workshops and scenario-based exercises.

Course Customization Options for Government

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

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 (online or onsite) is designed for intermediate-level IT professionals who wish to learn how to effectively leverage AWS tools and services to build, train, and deploy artificial intelligence models. By the end of this training, participants will be able to: - Understand the AI/ML services provided by AWS. - Set up and manage AI/ML environments on AWS. - Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker. - Learn to utilize various AWS AI services for specific use cases, ensuring alignment with public sector workflows and governance standards for government.

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.

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 (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.