DevOps Training in Virginia

This instructor-led, live training (available online or onsite) is designed for government advanced-level developers and data engineers who wish to master advanced workflow automation techniques using n8n.

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

• Create and implement sophisticated workflows with conditional logic and branching.
• Integrate with complex APIs and third-party systems for government applications.
• Develop and deploy custom nodes to enhance n8n’s capabilities for government use.
• Optimize workflows for scalability and efficiency in data-intensive environments within the public sector.

This instructor-led, live training in Virginia (online or onsite) is designed for intermediate-level marketing professionals who aim to automate repetitive tasks, effectively nurture leads, and optimize customer engagement through workflow automation.

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

• Utilize Make to automate marketing campaigns and lead nurturing workflows.
• Develop personalized customer journey maps using integrated platforms.
• Synchronize data across various marketing tools such as Mailchimp, HubSpot, and social media platforms.
• Monitor and analyze automated workflows to enhance campaign performance.
• Implement best practices for scalable marketing automation strategies, ensuring alignment with public sector workflows and governance standards for government.

This instructor-led, live training (online or onsite) is designed for intermediate to advanced developers and AI enthusiasts who wish to create sophisticated AI workflows using n8n.

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

• Comprehend the integration of AI services within n8n workflows.
• Implement AI-driven decision-making in automated processes for government and other sectors.
• Develop custom AI nodes and utilize pre-built AI nodes in n8n.
• Analyze and optimize the performance of AI workflows to enhance efficiency and effectiveness.

This instructor-led, live training in Virginia (online or onsite) is aimed at intermediate-level professionals who wish to create and optimize automated workflows using Zapier for government operations.

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

• Design and implement efficient Zapier workflows for government.
• Integrate multiple business applications for seamless automation.
• Optimize Zap performance and troubleshoot common issues.
• Scale workflow automation to meet the needs of public sector operations.

AIOps is a rapidly advancing field that addresses the complexities of modern IT environments, particularly those utilizing cloud architectures. The AIOps Foundation course provides a thorough introduction to the concepts, technologies, and practices associated with integrating artificial intelligence into IT operations.

This program delves into the background of AIOps, its fundamental principles, essential tools, and the organizational challenges that IT teams face when adopting these innovative approaches.

The training culminates in an exam. Successfully passing this exam awards participants the globally recognized AIOps Foundation certification, which remains valid for three years.

Who is it for?

This course is tailored for professionals and managers involved in:

IT operations

DevOps and Site Reliability Engineering (SRE)

Cloud architecture

Data analysis and data science

Software development

IT security

Product and project management

This comprehensive training is designed to enhance the capabilities of individuals working in these areas, providing them with the knowledge and skills necessary to effectively leverage AIOps technologies for government and other critical sectors.

This instructor-led, live training in Virginia (online or onsite) is designed for DevOps engineers, developers, and SysOps administrators who aim to maximize the tools and features provided by the Ansible project for enhancing organizational IT infrastructures and processes for government.

Participants will also have the opportunity to implement complex Ansible configurations for large-scale applications while leveraging its open-source tower for optimized DevOps management and collaboration functions within public sector workflows.

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

• Install and configure Ansible along with other open-source tools and resources.
• Set up a centralized system for DevOps management using Ansible project features.
• Utilize automation tools and advanced resources of Ansible to achieve continuous integration and continuous delivery (CI/CD).
• Implement improved SysOps methods using Ansible's collaborative features for managing larger teams in government settings.
• Enhance the execution of DevOps tasks within the organization and optimize existing processes.
• Integrate Ansible with external platforms and leverage other Ansible tools to benefit organizational operations for government.

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

Who is it for:

This training is designed for individuals involved in or implementing the DevOps process within government agencies, including roles such as DevOps evangelist; automation architect; cloud infrastructure engineer; software developer; software tester; security engineer; database administrator; and product owners. Please refer to the syllabus below for a more comprehensive list of applicable roles.

What will I learn:

By the end of this training, participants will be able to demonstrate knowledge, understanding, and some basic application of the following aspects of DevOps:

• Origins
• Benefits
• Culture and teams
• Automation
• Lean principles
• Measurement techniques
• Sharing practices
• Common roles in DevOps
• Practices and techniques for efficient workflows
• Methods and approaches for team collaboration

Format of the Course:

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

This instructor-led, live training in Virginia (online or onsite) is aimed at DevOps engineers who wish to automate code and code deployment with Atlassian Bamboo for government projects.

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

• Implement a CI/CD system.
• Provide application configuration files tailored for specific environments.
• Build and package code using Atlassian Bamboo.

This course emphasizes practical implementation and tooling for government. It assumes a strong foundational understanding of theoretical principles (as covered in the DEVOPS course) and focuses on the latest tools and methodologies for implementing DevOps practices within public sector workflows.

Kubernetes is an open-source platform designed for automating all development stages of containerized applications. Design patterns provide iterable solutions to common software development challenges specific to software design. Kubernetes extensions are used to configure and support Kubernetes clusters. By leveraging Kubernetes design patterns and extensions, users can implement CI/CD practices while ensuring the scalability and flexibility of their software applications.

This instructor-led, live training (online or onsite) is aimed at developers and DevOps engineers who wish to utilize Kubernetes design patterns and extensions to create enterprise applications on Kubernetes clusters for government use.

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

• Set up a Kubernetes cluster and configure essential DevOps tools.
• Understand the basics of software design patterns and Kubernetes extensions.
• Use Kubernetes extensions and design patterns when interacting with the Kubernetes API.
• Develop customized Kubernetes resources and implement dynamic controllers in a cluster.
• Manage and secure any Kubernetes environment using Kubernetes plugins.
• Integrate DevOps networking models into existing and new Kubernetes projects for government.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Virginia (online or onsite) is aimed at engineers who wish to evaluate the approaches and tools available today to make an informed decision on adopting MLOps within their organization.

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

• Install and configure various MLOps frameworks and tools for government use.
• Assemble a team with the necessary skills for constructing and supporting an MLOps system.
• Prepare, validate, and version data for use by machine learning models.
• Understand the components of an ML pipeline and the tools required to build one.
• Experiment with different machine learning frameworks and servers for deployment in production environments.
• Operationalize the entire machine learning process to ensure it is reproducible and maintainable.