Cloud Computing Training in Virginia

This instructor-led, live training in Virginia (online or onsite) is aimed at beginner-level data engineers who wish to use Azure Data Factory to implement scalable and efficient data integration solutions in the cloud. By the end of this training, participants will be able to: - Understand the core concepts and architecture of Azure Data Factory (ADF). - Learn how to create, schedule, and monitor data pipelines. - Integrate with various data sources, perform data transformation, and manage data flows. - Implement best practices for error handling and performance optimization. - Secure and monitor data pipelines for production environments, ensuring compliance and accountability for government operations.

This instructor-led, live training (conducted online or on-site) is designed for intermediate-level IT professionals who wish to develop expertise in managing cloud infrastructure and services for government using Google Cloud. By the end of this training, participants will be able to: - Set up and configure cloud environments utilizing Google Cloud services. - Manage and configure virtual machines, storage, and networking components. - Deploy and monitor applications within GCP environments. - Implement security best practices and identity management for government systems. - Utilize Google Cloud tools for automation and troubleshooting.

Google Colab Pro is a cloud-based environment designed for scalable Python development, offering high-performance GPUs, extended runtimes, and increased memory to support demanding AI and data science tasks.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level Python users who wish to leverage Google Colab Pro for machine learning, data processing, and collaborative research in a robust notebook interface.

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

• Set up and manage cloud-based Python notebooks using Colab Pro.
• Utilize GPUs and TPUs for accelerated computation.
• Streamline machine learning workflows with popular libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Integrate with Google Drive and external data sources to support collaborative projects.

Format of the Course

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

Course Customization Options for Government

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

This instructor-led, live training (conducted online or on-site) is designed for intermediate-level data scientists and healthcare professionals who aim to utilize artificial intelligence for advanced healthcare applications using Google Colab. By the end of this training, participants will be able to: - Implement AI models for healthcare using Google Colab. - Apply AI for predictive modeling in healthcare data. - Analyze medical images with AI-driven techniques. - Examine ethical considerations in AI-based healthcare solutions for government.

This instructor-led, live training (available online or onsite) is designed for intermediate-level data scientists and engineers who wish to utilize Google Colab and Apache Spark for big data processing and analytics. By the end of this training, participants will be able to: - Configure a big data environment using Google Colab and Apache Spark. - Efficiently process and analyze large datasets with Apache Spark. - Visualize big data in a collaborative setting. - Integrate Apache Spark with cloud-based tools for government.

This instructor-led, live training in [location] (online or onsite) is designed for beginner-level system administrators who wish to acquire essential concepts and practical skills required for the effective management and optimization of Nutanix environments for government use. By the end of this training, participants will be able to: - Understand the Nutanix Enterprise Cloud Platform and its components. - Install, configure, and manage Nutanix Clusters. - Gain proficiency in administering the Acropolis Hypervisor (AHV). - Perform advanced management tasks and troubleshooting. - Implement best practices for high availability, disaster recovery, and security.

This instructor-led, live training (online or onsite) is aimed at beginner-level IT professionals who wish to manage and operate the Google Cloud Platform for government. By the end of this training, participants will be able to: - Understand the core services and infrastructure of the Google Cloud Platform for government. - Learn how to manage networks and virtual machines in a government environment. - Understand and apply general security best practices within the Google Cloud Platform for government. - Explore Kubernetes and container management options tailored for government use. - Learn about storage solutions and how to configure them for government requirements. - Deploy and configure databases on the Google Cloud Platform for government operations.

This instructor-led, live training (online or onsite) is designed for advanced-level professionals who aim to deepen their understanding of computer vision and explore TensorFlow's capabilities for developing sophisticated vision models using Google Colab. By the end of this training, participants will be able to: - Build and train convolutional neural networks (CNNs) using TensorFlow. - Leverage Google Colab for scalable and efficient cloud-based model development. - Implement image preprocessing techniques for computer vision tasks. - Deploy computer vision models for real-world applications. - Use transfer learning to enhance the performance of CNN models. - Visualize and interpret the results of image classification models. This training is tailored to ensure that professionals can apply these skills effectively in their roles, particularly in projects for government.

This instructor-led, live training (conducted online or onsite) is designed for advanced-level professionals who wish to deepen their understanding of machine learning models, refine their hyperparameter tuning skills, and learn effective model deployment using Google Colab. By the end of this training, participants will be able to: - Implement advanced machine learning models using popular frameworks such as Scikit-learn and TensorFlow. - Enhance model performance through hyperparameter tuning. - Deploy machine learning models in real-world applications using Google Colab. - Collaborate and manage large-scale machine learning projects in Google Colab, ensuring alignment with public sector workflows for government.

Cloud Computing is a scalable and flexible model for delivering IT resources and services on demand. This instructor-led, live training (online or onsite) is designed for government cloud practitioners at all levels who aim to master AWS and Azure technologies while preparing for globally recognized certifications. Upon completion of this program, participants will be equipped to: - Understand foundational cloud principles across AWS and Azure. - Configure, secure, and manage Azure resources effectively. - Implement AWS compute, storage, networking, and security services. - Apply architectural best practices and integrate generative AI concepts for executive-level planning in government contexts. **Format of the Course** - Instructor-guided sessions supported by real-world cloud demonstrations. - Extensive hands-on exercises across both AWS and Azure environments. - Practical labs designed to build readiness for multiple certification exams. **Course Customization Options** - For tailored content aligned with your organizational cloud roadmap for government, please contact us to customize this training.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level data scientists and developers who aim to understand and apply deep learning techniques using the Google Colab environment. By the end of this training, participants will be able to: - Set up and navigate Google Colab for government deep learning projects. - Understand the fundamentals of neural networks. - Implement deep learning models using TensorFlow. - Train and evaluate deep learning models. - Utilize advanced features of TensorFlow for deep learning.

This instructor-led, live training (available online or onsite) is designed for intermediate-level data engineers, cloud architects, and business intelligence professionals who aim to excel in data management within industry-specific cloud environments. By the end of this training, participants will be able to: - Comprehend the principles and components of data fabrics. - Develop and deploy data integration and orchestration solutions. - Maintain data quality and governance within industry cloud platforms. - Leverage data fabrics to support industry-specific data analysis and decision-making processes. - Stay informed about emerging trends and technologies in cloud data management for government.

VMware vSphere 8 is a leading virtualization platform designed to support modern data center infrastructures for government and other sectors. This instructor-led, live training (available online or on-site) is targeted at intermediate-level IT professionals who are interested in installing, configuring, and managing VMware vSphere environments while preparing for the VCP certification. Upon completion of the course, participants will be able to: - Install and configure ESXi hosts. - Deploy and manage vCenter Server. - Configure vSphere networking and storage. - Create, deploy, and optimize virtual machines. **Format of the Course** - Instructor-guided presentations and technical discussions. - Extensive lab work and scenario-based exercises. - Practical configuration and management in a dedicated vSphere environment. **Course Customization Options** - For tailored VMware vSphere training solutions for government agencies, please contact us to discuss customization options.

This instructor-led, live training (available online or onsite) is designed for beginner-level IT professionals, business analysts, and project managers who wish to gain a foundational understanding of cloud computing and its applications across various industries. By the end of this training, participants will be able to: - Identify the key characteristics and benefits of cloud computing. - Understand the distinctions between different cloud service and deployment models. - Recognize the significance of industry-specific cloud solutions. - Evaluate the security and compliance considerations for government and other sectors. - Explore emerging trends and future directions in cloud technology.

This instructor-led, live training in [location] (online or onsite) is aimed at intermediate-level cloud engineers and operations managers who wish to enhance their cloud infrastructure management using Kubiya AI for government. By the end of this training, participants will be able to: - Integrate Kubiya AI into their cloud infrastructure. - Automate the provisioning and management of cloud resources. - Optimize cloud costs through AI-powered analytics. - Enhance cloud security with AI-driven monitoring.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level data scientists and developers who aim to apply machine learning algorithms efficiently using the Google Colab environment. By the end of this training, participants will be able to: - Set up and navigate Google Colab for government machine learning projects. - Understand and apply various machine learning algorithms. - Utilize libraries such as Scikit-learn to analyze and predict data. - Implement both supervised and unsupervised learning models. - Optimize and evaluate machine learning models effectively.

VMware vSphere: Operate, Scale and Secure enhances foundational vSphere administration by providing best practices in security, performance tuning, scalability, and advanced operations, specifically tailored for government environments.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced IT professionals who are tasked with managing and optimizing large-scale or mission-critical vSphere environments securely and efficiently for government use.

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

• Monitor, analyze, and optimize vSphere performance in a government context.
• Secure vSphere components using encryption, certificates, and role-based controls, ensuring compliance with government standards.
• Scale vSphere deployments using advanced networking and storage features to meet the demands of government operations.
• Apply lifecycle and patch management using vSphere tools to maintain system integrity and security for government applications.

Format of the Course

• Interactive lecture and discussion focused on government IT challenges.
• Hands-on lab exercises and troubleshooting scenarios relevant to government operations.
• Real-world, enterprise-focused implementations designed for government agencies.

Course Customization Options

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

This instructor-led, live training in Virginia (online or onsite) is aimed at beginner-level data scientists who wish to learn how to create meaningful and visually appealing data visualizations for government.

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

• Set up and navigate Google Colab for data visualization purposes.
• Create various types of plots using Matplotlib.
• Utilize Seaborn for advanced visualization techniques.
• Customize plots to enhance presentation and clarity.
• Effectively interpret and present data using visual tools.

VMware vSphere is a leading virtualization platform that facilitates the efficient management of virtual infrastructure across datacenters and hybrid cloud environments, tailored specifically for government use. This instructor-led, live training (online or onsite) is designed for beginner-level to intermediate-level IT professionals who are responsible for installing, configuring, and managing VMware vSphere environments in public sector organizations. By the end of this training, participants will be able to: - Install and configure ESXi hosts and vCenter Server. - Create and manage virtual machines and vApps. - Configure virtual networking and storage resources. - Implement user permissions, monitoring, and basic troubleshooting. **Format of the Course** - Interactive lecture and discussion. - Hands-on lab exercises and demonstrations. - Practical implementation in real-world scenarios for government operations. **Course Customization Options** - To request a customized training for this course tailored to specific needs for government agencies, 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.

VMware vSphere is a leading virtualization platform used to build resilient IT infrastructure for government and other public sector organizations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to gain practical skills in identifying and resolving issues in VMware vSphere environments within the context of government operations.

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

• Diagnose and resolve common problems related to virtual machines and vSphere services for government IT systems.
• Use VMware tools to analyze and fix performance and configuration issues in public sector environments.
• Troubleshoot virtual networking and storage configurations specific to government IT infrastructure.
• Perform root cause analysis in production environments, ensuring compliance with public sector governance standards.

Format of the Course

• Interactive lecture and discussion tailored for government IT professionals.
• Extensive exercises and practice to reinforce learning objectives relevant to public sector workflows.
• Hands-on implementation in a live-lab environment, simulating real-world government scenarios.

Course Customization Options

• To request a customized training for this course, tailored to specific needs of your government agency, please contact us to arrange.

This instructor-led, live training in Virginia (online or onsite) is designed for intermediate to advanced-level integration developers and system administrators who wish to enhance their skills in using Boomi for building, managing, and deploying cloud-based solutions on integration platforms. By the end of this training, participants will be able to: - Utilize AtomSphere and work with Boomi documents effectively. - Design and create complex integration processes that incorporate advanced logic and data processing. - Manage the deployment of integration processes, as well as logging and reporting functionalities. - Capture and handle errors efficiently. - Apply best practices and techniques for integrating with Boomi, ensuring alignment with public sector workflows and governance standards for government.

This instructor-led, live training (conducted either online or onsite) is designed for government data scientists and IT professionals at the beginner level who wish to gain foundational knowledge in data science using Google Colab. By the end of this training, participants will be able to: - Set up and navigate Google Colab. - Write and execute basic Python code. - Import and manage datasets. - Create visualizations using Python libraries for government applications.

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 (online or onsite) is aimed at intermediate-level developers, system administrators, and cloud architects who wish to utilize NoCloud for their cloud solutions.

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

• Establish a development environment that incorporates NoCloud, Docker, Kubernetes, and Helm.
• Develop and manage cloud services using NoCloud.
• Comprehend the lifecycle of a cloud service within NoCloud.
• Integrate NoCloud with existing infrastructure or virtual resources for government operations.
• Diagnose and resolve common issues in a NoCloud environment.

This instructor-led, live training (online or onsite) is designed for government developers, system administrators, and cloud enthusiasts who wish to gain practical knowledge of OpenNebula and apply it to their cloud solutions for government. By the end of this training, participants will be able to: - Set up a development environment that includes OpenNebula. - Create and manage virtual machines in OpenNebula. - Understand the lifecycle of a virtual machine. - Integrate OpenNebula with existing infrastructure for government. - Troubleshoot common issues in an OpenNebula environment.

This instructor-led, live training (online or onsite) is aimed at intermediate-level system administrators who wish to use VMware vCenter for managing complex virtual environments. By the end of this training, participants will be able to: - Understand the architecture and components of VMware vSphere and vCenter Server. - Install, configure, and manage VMware ESXi and vCenter Server. - Implement advanced networking and storage configurations. - Create, manage, and migrate virtual machines. - Ensure high availability and disaster recovery in a virtualized environment. - Automate vSphere tasks and manage lifecycle and upgrades. - Troubleshoot common issues and apply best practices for government operations.

The objective of this course is to provide a comprehensive understanding of the OpenStack environment, focusing on both operational and administrative perspectives. Following a concise overview of cloud computing principles, participants will be assigned their own OpenStack instance to conduct practical, hands-on activities. The curriculum encompasses all fundamental components of OpenStack, from its overarching architecture to the administration of the cloud infrastructure. Approximately 75% of the course is dedicated to interactive workshops in a real OpenStack environment, ensuring that learners gain practical skills relevant for government and other public sector applications.

The course provides comprehensive training on OpenStack, designed specifically for government agencies and professionals. It begins with an introduction to the system, followed by hands-on workshops that offer practical knowledge on managing private clouds based on OpenStack. The curriculum also covers troubleshooting techniques and advanced architectural topics. The goal of this course is to familiarize participants with the OpenStack ecosystem and provide a robust foundation for further expansion and refinement of OpenStack clouds for government use. The course includes all topics necessary to prepare for the Certificate OpenStack Administrator exam, with 75% of the content delivered through hands-on workshops in a real OpenStack training environment.

This comprehensive OpenStack training offers practical, hands-on experience in deploying, managing, troubleshooting, and optimizing private cloud environments based on OpenStack. Structured as an extended bootcamp, the course covers essential administration topics, real-world troubleshooting scenarios, and advanced architectural concepts aligned with the Certified OpenStack Administrator exam objectives. Featuring 75% workshop-based learning in a live OpenStack lab, participants will develop the skills necessary to confidently administer and further enhance enterprise OpenStack infrastructures for government use.

The course provides comprehensive training on OpenStack networking. It begins with an introduction to OpenStack and its architecture, followed by a detailed overview of core OpenStack projects such as the Identity service (Keystone), Image service (Glance), Compute service (Nova), and Block storage (Cinder). This foundational knowledge sets the stage for an in-depth exploration of the Networking project (Neutron) within OpenStack. The course delves into virtual network infrastructure, with a focus on the Open Virtual Network project, Open vSwitch, and OpenFlow. Participants will gain a thorough understanding of basic operations and architecture in OpenStack, as well as familiarity with various networking technologies, including OVN and its underlying flows, resources, and tools. **Customization Options** The training can be tailored to fit specific needs, such as a 2-day session focusing on core aspects relevant for government. The course can also be extended to cover additional topics, including administrative tasks, design considerations, networking challenges, and troubleshooting techniques related to OpenStack deployments. Other underlying SDN solutions, such as Linux Bridge or OvS, can be included upon request.

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 [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 (online or onsite) is aimed at integration developers, system administrators, and system integrators who wish to use Boomi to build, manage, and deploy integration platforms for cloud-based solutions for government. By the end of this training, participants will be able to: - Set up the necessary environment to begin building integrations with Boomi. - Understand the features, architecture, and core concepts of Boomi AtomSphere. - Design, build, and deploy integration processes using Boomi. - Utilize Boomi's dashboard and reporting tools to monitor applications. - Manage configurations and deployments for Atom, Molecule, and Atom Cloud. - Enable web services and API integration and management with Boomi.

This curriculum provides essential, hands-on instruction in cloud computing technologies, establishing a foundational understanding of modern digital infrastructure. The program examines core technical frameworks, including virtualization, hypervisor management, network architecture, and distributed systems, while integrating operational strategies for cost efficiency and security compliance. Participants will develop technical proficiency across leading public cloud ecosystems, specifically Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, with emphasis on compute resources, virtual networking, managed database services, and serverless application architectures. The training is designed to support federal workforce development by delivering actionable skills for government professionals tasked with architecting and managing resilient, high-availability solutions for government applications.

This 7-day program offers a comprehensive, hands-on exploration into designing, deploying, and operating cloud-native applications using modern DevOps practices for government agencies.

Participants will delve into the design of scalable microservices architectures, optimization of container environments, and management of production workloads with Kubernetes. The curriculum covers advanced deployment strategies, GitOps-based automation, and observability techniques to ensure system reliability and performance.

A significant emphasis is placed on addressing real-world operational challenges, such as incident response, failure simulation, and root cause analysis. The program concludes with an examination of AI-powered tools that support troubleshooting and enhance operational decision-making.

By the end of the training, participants will have a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems in a Kubernetes-based environment for government operations.

This course is designed to equip non-technical professionals, including managers, business analysts, QA testers, and operations personnel, with a foundational understanding of cloud computing for government. Participants will explore core concepts, benefits, and practical applications of the cloud to make more informed decisions and contribute effectively to cloud migration initiatives within public sector organizations. The course emphasizes demystifying cloud jargon, comparing cloud and on-premises infrastructure, understanding service models, and recognizing how cloud impacts various roles within an organization. By the end of this course, participants will be able to: - Understand key definitions and terminology of cloud computing. - Identify different cloud service models (IaaS, PaaS, SaaS). - Differentiate between cloud deployment models (Public, Private, Hybrid, Multi-Cloud). - Compare on-premises versus cloud-based infrastructure. - Understand the advantages of cloud technology: scalability, agility, availability, and cost-efficiency. - Recognize common cloud platforms (AWS, Azure, GCP) and their service offerings. - Comprehend cloud responsibilities, including the shared responsibility model and role-based access. - Grasp the impact of cloud on software testing, deployment, and monitoring. - Participate effectively in cloud adoption and migration projects for government. - Appreciate the basics of cloud security, compliance, and governance principles.

This three-day training program is designed to equip participants with a comprehensive foundation in cloud computing concepts, along with hands-on experience on leading cloud platforms: AWS, Microsoft Azure, and Google Cloud Platform (GCP). The course is divided into four sessions, each dedicated to one of the major cloud platforms, with the first session covering general cloud computing principles. Upon completion of this training, participants will gain a clear understanding of fundamental cloud computing concepts, practical knowledge of the architecture and services offered by each platform, and the skills necessary to deploy and manage resources in real-world scenarios for government use.

This instructor-led, live training in Virginia (online or onsite) is designed for IT architects and IT consultants who aim to implement best practices for cloud infrastructure and services for government.

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

• Leverage cloud infrastructure and services to support business operations.
• Implement advanced cloud security measures in accordance with Cloud Security Alliance standards.
• Migrate legacy systems to the cloud using Service-Oriented Architecture (SOA) and Platform as a Service (PaaS) solutions.
• Automate on-demand resource provisioning for asynchronous cloud services to enhance efficiency and responsiveness.

Crossplane is an open-source multi-cloud control plane designed as a Kubernetes add-on. It leverages the Kubernetes API to extend a Kubernetes cluster's capabilities, enabling the provisioning, management, and orchestration of cloud infrastructure, services, and applications for government use.

Crossplane operates using several key components: Packages, Providers, Managed Resources, and Composite Resources.

Crossplane facilitates the deployment and management of cloud resources across various service providers through the Kubernetes API. Users can create and manage these resources with simple manifests, which can then be integrated into their CI/CD or GitOps pipelines for seamless operations.

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

• Understand best practices for utilizing Crossplane to deploy and manage cloud-native applications across multiple clouds in a government context.

Format of the Course

• Interactive lectures and discussions.
• 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.

• Acquire foundational knowledge of Citrix Virtual Apps and Desktops 7 for government.
• Learn how to install, configure, and manage a Citrix Virtual Apps and Desktops 7 site and Cloud connectors in alignment with public sector workflows.
• Understand the considerations between on-premises deployment and the Citrix Virtual Apps and Desktops Service, ensuring compliance with government governance standards.
• Master the delivery of application and desktop resources to support efficient and secure operations within government agencies.

Establish a robust foundation in designing and managing a resilient edge computing infrastructure for government. Gain insights into open hybrid cloud infrastructures, the management of workloads across multiple clouds, and the importance of flexibility and redundancy. This training offers critical knowledge on developing a scalable and secure infrastructure that supports the evolving needs of modern applications through edge computing.

This instructor-led, live training (online or onsite) is designed for government cloud administrators, cloud architects, technology leaders, and financial analysts who wish to record, manage, monitor, and process the financial assets of an organization in the cloud. By the end of this training, participants will be able to implement FinOps practices within their organizations to forecast costs, optimize processes, and perform financial management operations in the cloud for government.

Overview:

• Foundational principles of IoT architectural frameworks and operational capabilities.
• The role of connected devices, sensor networks, and the integration of enterprise business processes.
• Core software stack requirements, including hardware interfaces, firmware, middleware, cloud infrastructure, and mobile applications.
• Key functional services such as fleet management, data analytics, alerting systems, device onboarding, and geographic boundary monitoring.
• Principles of IoT telemetry transmission using the MQTT protocol.
• Integration of IoT endpoints with AWS IoT Core via MQTT.
• Utilization of AWS Lambda for computational tasks and DynamoDB for data persistence within the AWS ecosystem.
• Establishing connectivity between Raspberry Pi devices and AWS IoT Core for basic data exchange.
• Practical application using Raspberry Pi and AWS IoT Core to develop secure, connected hardware solutions for government
• Implementation of sensor data visualization and web-based interface communication.

OpenTelemetry is a collection of APIs, SDKs, and tools designed for instrumenting, generating, collecting, and exporting telemetry data, including metrics, logs, and traces. This open-source project aims to offer a standardized and vendor-neutral approach to monitoring the performance and health of applications, ensuring consistency and reliability in data collection and analysis for government and other sectors.

This instructor-led, live training in Virginia (online or onsite) is designed for intermediate-level IT professionals and technology decision-makers who aim to utilize open-source platforms and open standards to create portable, resilient, and sovereign software environments for government.

By the end of this training, participants will be able to explain the concepts of digital sovereignty, assess risks related to portability, evaluate options for Kubernetes and other open-source platforms, and define practical steps for adoption within their organizations.

The course provides comprehensive training on OpenStack, designed to equip participants with the essential skills and knowledge required for government IT environments. It begins with an introduction to the system, followed by hands-on workshops that offer practical experience in managing private clouds based on OpenStack. The curriculum also covers troubleshooting techniques and advanced architectural topics. The primary objective of this course is to familiarize attendees with the OpenStack ecosystem and provide a robust foundation for further development and enhancement of OpenStack clouds for government use. Additionally, the course includes all necessary topics to prepare participants for the Certificate OpenStack Administrator exam.

This instructor-led, live training (available online or onsite) is designed for system administrators and infrastructure engineers who aim to design, deploy, and manage private OpenStack cloud infrastructure in enterprise settings.

By the end of this training, participants will be able to comprehend OpenStack architecture, implement private cloud infrastructure, oversee compute and storage resources, enforce security measures using Keystone, and adhere to best practices for government and enterprise environments.

This in-depth technical course is designed to provide participants with the advanced skills needed to manage Proxmox VE-based virtualized infrastructure, focusing on storage, backup, high availability, security, and monitoring. Through theoretical lessons and numerous practical exercises, participants will learn how to:

• Manage local and remote storage, leveraging ZFS for advanced features and integrating Ceph for distributed storage scenarios.
• Implement backup and disaster recovery strategies using snapshots, replication, restore, and Proxmox Backup Server.
• Design and administer high-availability clusters, enabling live VM migration and load balancing.
• Apply best practices for security reinforcement, configure firewalls, and protect VMs and containers.
• Monitor performance and logs with integrable tools like Zabbix, Prometheus, and Grafana, for comprehensive visibility into the infrastructure.
• Develop real-world use cases in academic and corporate settings, including DevOps environments, production service hosting, and HPC clusters.

The course is highly practical and operational, with hands-on sessions guiding participants from initial configuration to failover scenario simulation.

This instructor-led, live training in Virginia (online or onsite) is designed for intermediate-level IT leaders, architects, and governance professionals who aim to apply sovereign cloud strategy principles to design governance models, select appropriate cloud architectures, and develop realistic cloud exit plans.

By the end of this training, participants will be able to define sovereignty requirements, assess architecture options, implement governance controls, and construct a practical exit roadmap for government use.

This instructor-led, live training (available online or onsite) is designed for intermediate-level virtualization administrators who wish to transition to open-source platforms from VMware. By the end of this training, participants will be able to: - Install and configure KVM, oVirt, and Proxmox VE. - Migrate virtual workloads from VMware to these open-source solutions. - Implement high availability and disaster recovery strategies for government environments. - Optimize performance in open-source virtualization environments to meet the needs of public sector workflows and governance.