Azure Cloud Security Training Course

This instructor-led, live training in [location] (online or onsite) is aimed at engineers who wish to utilize Azure ML's intuitive drag-and-drop platform to deploy Machine Learning workloads without the need for purchasing software and hardware or managing maintenance and deployment. By the end of this training, participants will be able to: - Develop highly accurate machine learning models using Python, R, or zero-code tools. - Utilize Azure’s extensive data sets and algorithms to train and track machine learning and deep-learning models. - Collaborate effectively in Azure's interactive workspace for developing ML models. - Select from a variety of Azure-supported ML frameworks, including PyTorch, TensorFlow, and scikit-learn, to meet specific project requirements. This training is designed to enhance the capabilities of engineers working on government projects by providing them with the skills necessary to leverage Azure ML efficiently.

This course equips IT professionals with the skills needed to manage their Azure subscriptions effectively, secure identities, administer infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, deploy web apps and containers, back up and share data, and monitor their solutions. Designed specifically for government Azure Administrators, this course covers the essential tasks of implementing, managing, and monitoring identity, governance, storage, compute, and virtual networks in a cloud environment. Azure Administrators will learn to provision, size, monitor, and adjust resources as needed to ensure optimal performance and compliance with public sector workflows, governance, and accountability standards.

This course is designed to equip Solutions Architects with the skills necessary to translate business requirements into secure, scalable, and reliable solutions for government. The curriculum covers essential topics such as virtualization, automation, networking, storage, identity management, security, data platforms, and application infrastructure. Each lesson emphasizes how decisions in these areas impact the overall solution. ### Audience Profile This course is intended for IT Professionals who have expertise in designing and implementing solutions on Microsoft Azure for government. Participants should possess a comprehensive understanding of IT operations, including networking, virtualization, identity management, security, business continuity, disaster recovery, data platforms, budgeting, and governance. Azure Solution Architects will learn to utilize the Azure Portal effectively and, as they gain proficiency, transition to using the Command Line Interface. Candidates must have advanced skills in Azure administration and practical experience with Azure development processes and DevOps methodologies.

This one-day course will provide foundational knowledge on Azure concepts, core Azure services, and management tools for government. It will also cover general security and network security measures, governance, privacy, and compliance features, as well as Azure cost management and service level agreements.

Note: This course does not include an Azure pass or time for participants to engage in hands-on labs. If you are interested in a more interactive, hands-on lab experience, consider the AZ-900T00: Microsoft Azure Fundamentals (2 day) course offered by Govtra. This extended course includes trainer-directed hands-on labs and aligns with the AZ-900 exam objective domain.

Microsoft Azure provides robust infrastructure and deployment solutions for government agencies. These services are designed to support scalable, secure, and efficient operations that align with public sector workflows, governance, and accountability requirements. Azure's infrastructure ensures high availability and reliability, while its deployment tools facilitate seamless integration and management of resources, enhancing overall operational effectiveness for government use.

This training enables participants to enhance their Microsoft Azure solution design skills. Upon completion of this training, participants will understand the features and capabilities of Azure services, enabling them to identify trade-offs and make informed decisions for designing public and hybrid cloud solutions for government. Throughout the training, participants will define the appropriate infrastructure and platform solutions to meet functional, operational, and deployment requirements throughout the solution lifecycle.

This instructor-led, live training in US (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to utilize Azure DevOps to build and deploy optimized enterprise applications more efficiently than with traditional development methods. By the end of this training, participants will be able to: - Understand the essential DevOps terminology and principles. - Install and configure the necessary Azure DevOps tools for software development. - Leverage Azure DevOps tools and services to continuously adapt to market changes. - Develop enterprise applications and assess current development processes using Azure DevOps solutions. - Manage teams more effectively and expedite software deployment times. - Implement DevOps practices within their organization, enhancing workflows and accountability for government projects.

This instructor-led, live training in US (online or onsite) is designed for government data scientists who wish to utilize Azure Machine Learning to develop end-to-end machine learning models for predictive analysis. By the end of this training, participants will be able to: - Construct machine learning models without programming experience. - Develop predictive algorithms using Azure Machine Learning. - Deploy production-ready machine learning algorithms for government applications.

This instructor-led, live training in US (online or onsite) is aimed at developers who wish to learn how to build microservices on Microsoft Azure Service Fabric (ASF) for government.

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

• Utilize ASF as a platform for building and managing microservices in governmental systems.
• Comprehend key microservices programming concepts and models relevant to public sector applications.
• Establish a cluster in Azure tailored for government workflows.
• Deploy microservices on premises or in the cloud, ensuring alignment with governmental IT standards.
• Debug and troubleshoot live microservice applications to maintain high levels of service reliability for government operations.

The Azure Bot Service integrates the capabilities of the Microsoft Bot Framework and Azure Functions to facilitate the rapid development of intelligent bots for government.

In this instructor-led, live training, participants will learn how to efficiently create an intelligent bot using Microsoft Azure.

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

• Understand the fundamentals of intelligent bots
• Learn how to develop intelligent bots using cloud applications for government
• Gain proficiency in using the Microsoft Bot Framework, the Bot Builder SDK, and the Azure Bot Service
• Comprehend the design principles of bots through bot patterns
• Create their first intelligent bot using Microsoft Azure

Audience

• Developers
• Hobbyists
• Engineers
• IT Professionals

Format of the Course

• Part lecture, part discussion, with exercises and extensive hands-on practice

In this instructor-led, live training in US (onsite or remote), participants will gain a comprehensive understanding of the fundamental concepts, components, and services of Microsoft Azure as they work through the development of a sample cloud application for government use.

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

• Understand the foundational aspects of Microsoft Azure
• Familiarize themselves with the various Azure tools and services
• Acquire the skills necessary to leverage Azure for building cloud applications for government

The Internet of Things (IoT) is a network infrastructure that connects physical devices and software applications wirelessly, enabling them to communicate and exchange data through network communications, cloud computing, and data capture. Azure provides a comprehensive set of cloud services, including an IoT Suite with preconfigured solutions designed to help developers accelerate the development of IoT projects for government. In this instructor-led, live training, participants will learn how to develop IoT applications using Azure for government. By the end of this training, participants will be able to: - Understand the fundamentals of IoT architecture. - Install and configure Azure IoT Suite. - Learn the benefits of using Azure in programming IoT systems for government. - Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management). - Build, test, deploy, and troubleshoot an IoT system using Azure for government. **Audience** - Developers - Engineers **Format of the Course** - Part lecture, part discussion, exercises, and extensive hands-on practice **Note** To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in [location] (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to the Azure cloud for government. By the end of this training, participants will be able to: - Install and configure Kubernetes, Kubeflow, and other necessary software on Azure. - Use Azure Kubernetes Service (AKS) to streamline the initialization of a Kubernetes cluster on Azure. - Create and deploy a Kubernetes pipeline for automating and managing ML models in production environments. - Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel. - Leverage other Azure managed services to extend an ML application, ensuring alignment with public sector workflows and governance.

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

This instructor-led, live training (available online or onsite) is designed for government machine learning engineers who wish to utilize Azure Machine Learning and Azure DevOps to implement MLOps practices. By the end of this training, participants will be able to: - Construct reproducible workflows and machine learning models. - Manage the entire machine learning lifecycle. - Track and report on model version history, assets, and other relevant data. - Deploy production-ready machine learning models in any environment for government use.