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 in [location] (online or onsite) is aimed at intermediate-level data professionals who wish to apply time series forecasting techniques to real-world data using Google Colab for government. By the end of this training, participants will be able to: - Understand the fundamentals of time series analysis. - Use Google Colab to work with time series data. - Apply ARIMA models to forecast data trends. - Utilize Facebook’s Prophet library for flexible forecasting. - Visualize time series data and forecasting results.

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 in Virginia (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of reinforcement learning and its practical applications in AI development for government using Google Colab.

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

• Understand the core concepts of reinforcement learning algorithms.
• Implement reinforcement learning models using TensorFlow and OpenAI Gym.
• Develop intelligent agents that learn through trial and error.
• Optimize agent performance using advanced techniques such as Q-learning and deep Q-networks (DQNs).
• Train agents in simulated environments using OpenAI Gym.
• Deploy reinforcement learning models for real-world applications, enhancing decision-making processes for government.

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 aimed at intermediate-level data scientists and developers who wish to apply natural language processing (NLP) techniques using Python in Google Colab for government applications. By the end of this training, participants will be able to: - Understand the core concepts of NLP. - Preprocess and clean text data for NLP tasks. - Perform sentiment analysis using NLTK and SpaCy libraries. - Work with text data using Google Colab for scalable and collaborative development in a government context.

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.

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.

This instructor-led, live training (available online or onsite) is designed for IT professionals who wish to gain a foundational understanding of Alibaba Cloud and its cloud computing services for government use. By the end of this training, participants will be able to: - Understand the solution architecture of Alibaba Cloud. - Learn about the core products and services offered by Alibaba Cloud. - Gain insight into the capabilities of Alibaba Cloud in managing big data and databases.

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.

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 (offered online or onsite) is designed for engineers who aim to enhance business value through Financial Operations (FinOps) when building and supporting services for government. By the end of this training, participants will be able to: - Comprehend the principles of FinOps and their alignment with methodologies and disciplines in software engineering. - Gain a thorough understanding of the fundamental roles and responsibilities within a FinOps team. - Recognize the duties of engineering and operations team members in fulfilling FinOps functions for government.

This instructor-led, live training in [location] (online or onsite) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab. By the end of this training, participants will be able to: - Understand the fundamentals of the Python programming language. - Implement Python code within the Google Colab environment. - Utilize control structures to manage the flow of a Python program effectively. - Develop functions to organize and reuse code efficiently. - Explore and utilize basic libraries for Python programming. This training is designed to enhance skills in programming for government and other public sector applications, ensuring participants are well-equipped to apply their knowledge in a variety of governance and accountability contexts.

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 professionals who wish to enhance their knowledge of FinOps in preparation for the FinOps Certified Practitioner certification exam. By the end of this training, participants will be able to: - Understand cloud usage and cost modeling, cost allocation, and resource planning. - Grasp the foundational pillars of FinOps and their implementation within an organization. - Learn how organizations define pricing model goals and use historical data to make informed adjustments. - Approach the FinOps Certified Practitioner certification exam with confidence. This training is designed to align with the best practices for government agencies, ensuring that participants are well-prepared to apply FinOps principles in a public sector context.

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.

In this instructor-led, live training for government participants, attendees will learn how to set up and manage a production-scale container environment using Kubernetes on Google Cloud. By the end of this training, participants will be able to: - Configure and manage Kubernetes on Google Cloud. - Deploy, manage, and scale a Kubernetes cluster. - Deploy containerized (Docker) applications on Google Cloud. - Migrate an existing Kubernetes environment from on-premise to Google Cloud. - Integrate Kubernetes with third-party continuous integration (CI) software. - Ensure high availability and disaster recovery in Kubernetes.

This instructor-led, live training in Virginia (online or onsite) is designed for technical personnel who aim to acquire a practical understanding of available cloud solutions, the data analysis processes necessary for working with data in the cloud, and hands-on experience using tools such as Power BI to analyze data. By the end of this training, participants will be able to: - Install and configure Power BI. - Evaluate the various data solutions offered by cloud providers such as Azure, specifically tailored for government use. - Understand the different structures, modeling approaches, and data warehouse designs used to store, manage, and access Big Data in a public sector context. - Apply tools and techniques to clean data in preparation for analysis. - Build reporting and analytics solutions based on both on-premise and cloud data, ensuring compliance with government standards. - Integrate data analytics solutions with a data warehouse to enhance decision-making processes. - Mitigate data security risks and ensure data privacy in accordance with government regulations.

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 Virginia (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 (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.

Audience

This resource is designed for government software engineers and computer scientists who have a solid understanding of algorithms and are proficient in at least one programming or scripting language, but who may lack experience with cloud computing.

This instructor-led, live training in Virginia (online or onsite) is designed for sysadmins or IT administrators who wish to use Citrix Hypervisor to deploy, manage, and optimize data center virtualization across desktops, servers, and cloud environments.

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

• Establish the required environment to effectively manage desktop, server, and cloud virtualization using Citrix Hypervisor.
• Simplify virtualization management and operations by leveraging the comprehensive features and architecture of Citrix Hypervisor.
• Configure and manage the Citrix Hypervisor environment through XenCenter and command-line interface (CLI) commands.
• Gain proficiency in installing, configuring, and managing virtual machines, GPUs, and storage repositories.
• Enhance the performance of Citrix Hypervisor pools by implementing high availability and workload balancing strategies.

This training is tailored to meet the specific needs of government IT professionals for government data center environments.

Day 1 provides end-to-end coverage of fundamental cloud computing topics as they relate to both technology and business for government. The module is divided into a series of sections, each accompanied by hands-on exercises. Day 2 explores technology-related topics that pertain to cloud computing platforms. It maintains a conceptual level of coverage, focusing on cloud service architecture, cloud security threats and technologies, virtualization, and data processing without delving into implementation or programming details. Day 3 offers a technical insight into foundational cloud computing platforms for government. This module examines Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS) environments as compound patterns, comprised of unique and shared building blocks. It is structured as a guided tour through these architectural layers, describing primary components, highlighting shared elements, and explaining how building blocks can be assembled and implemented using cloud computing mechanisms and practices. Day 4 builds upon the knowledge gained on Day 3 to provide a deep dive into elastic, resilient, and multitenant technology architectures. It also covers specialized solution architectures such as cloud bursting and cloud balancing. Through the study of architectural mechanisms, industry technologies, and design patterns, both core and extended components are described that combine to achieve elasticity, resiliency, and multitenancy—key characteristics of cloud platforms. By leveraging these native and enhanced scalability and failover-related features, specialized solution architectures are outlined to enable bursting between clouds and on-premise environments, as well as the balancing of runtime loads across clouds for performance and failover purposes. Day 5 presents participants with a series of exercises and problems designed to test their ability to apply the knowledge gained from previous modules.

This course is designed for individuals seeking to comprehend the advantages of cloud computing. Utilizing examples from Amazon EC2, the content can also be adapted to other service providers. The curriculum emphasizes practical skills and knowledge that are directly applicable to various cloud environments, including those used for government operations.

Audience

IT architects, mid-level IT managers, and IT consultants for government

Format of the Course

The course is currently delivered entirely through lectures.

This instructor-led, live training in Virginia (online or onsite) is aimed at technical professionals who wish to gain a practical understanding of available cloud solutions, the data analysis processes required to work with data in the cloud, and hands-on practice using tools such as Power BI for government. By the end of this training, participants will be able to: - Install and configure Power BI. - Evaluate the various data solutions offered by cloud providers such as Azure for government. - Gain an understanding of different structures, modeling approaches, and data warehouse designs used to store, manage, and access Big Data. - Apply tools and techniques to clean data in preparation for analysis. - Build reporting and analytics solutions based on both on-premise and cloud data. - Integrate data analytics solutions with a data warehouse. - Mitigate data security risks and ensure data privacy.

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 instructor-led, live training in [location] (online or onsite) is aimed at system administrators, DevOps engineers, and developers who wish to use CloudForms to manage virtual infrastructures through a centralized interface. By the end of this training, participants will be able to: - Install and configure CloudForms on various virtual machine and cloud platforms, including OpenStack, OpenShift, and VMware. - Establish a centralized management interface for monitoring multiple clusters. - Strengthen security controls and configuration policies across an entire infrastructure. - Convert a distributed virtual infrastructure into a cohesive hybrid environment. - Enhance workload performance and efficiency by automating orchestration and workflows, ensuring optimal resource utilization for government operations.

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.

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.

This instructor-led, live training in [location] (online or onsite) is aimed at cloud engineers who wish to store objects and unstructured data using MinIO. By the end of this training, participants will be able to: - Utilize the MinIO Client as an alternative to Unix commands. - Employ MinIO to construct high-performance infrastructures for machine learning, analytics, and other applications. - Deploy MinIO on Kubernetes for orchestrated deployment to scale, ensuring efficient resource management for government operations.

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.

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.