Developing Intelligent Bots with Azure Training Course

This instructor-led, live training in US Empire (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 to purchase additional software and hardware, or manage maintenance and deployment tasks.

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

• Develop highly accurate machine learning models using Python, R, or no-code tools.
• Leverage Azure’s extensive data sets and algorithms to train and track machine learning and deep-learning models.
• Utilize Azure’s collaborative workspace to develop ML models in a team environment.
• Select from various Azure-supported ML frameworks, including PyTorch, TensorFlow, and scikit-learn.

This training is designed to enhance the capabilities of engineers working on government projects by providing them with the tools and knowledge necessary for effective machine learning deployment and management.

This course provides IT professionals with the skills necessary 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 the overall solution.

This course is designed for Azure Administrators who are responsible for implementing, managing, and monitoring identity, governance, storage, compute, and virtual networks in a cloud environment. The Azure Administrator will be equipped to provision, size, monitor, and adjust resources as required, ensuring optimal performance and security for government operations.

This course is designed to equip Solutions Architects with the knowledge to translate business requirements into secure, scalable, and reliable solutions for government. The curriculum covers key areas such as virtualization, automation, networking, storage, identity management, security, data platforms, and application infrastructure. Each lesson highlights 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 running 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 typically use the Azure Portal 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 Infrastructure and Deployment for Government

This training enables participants to enhance their Microsoft Azure solution design skills for government.

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 the required functional, operational, and deployment requirements through the solution life-cycle for government.

This instructor-led, live training in US Empire (online or onsite) is designed for government DevOps engineers, developers, and project managers who wish to leverage 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:

• Comprehend the essential DevOps terminology and principles for government.
• Install and configure the required Azure DevOps tools for software development.
• Utilize 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 accelerate software deployment times.
• Implement DevOps development practices within the organization for government.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists who wish to utilize Azure Machine Learning to develop comprehensive machine learning models for predictive analysis.

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

• Construct machine learning models without prior programming experience.
• Develop predictive algorithms using Azure Machine Learning.
• Deploy production-ready machine learning algorithms for government use.

This instructor-led, live training in US Empire (online or onsite) is aimed at security administrators who wish to enhance the security of Azure workloads for government.

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

• Manage host security, network security, and other critical aspects.
• Configure storage and database security within Azure.
• Utilize Azure resources to implement robust security monitoring.
• Prevent malicious cyber attacks on data and infrastructure for government operations.

This instructor-led, live training in US Empire (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 alignment with public sector workflows.
• Gain an understanding of key microservices programming concepts and models relevant to government applications.
• Establish a cluster in Azure that meets the governance and accountability standards required for government operations.
• Deploy microservices both on-premises and in the cloud, ensuring compliance with government IT policies.
• Effectively debug and troubleshoot live microservice applications to maintain high levels of performance and reliability for government use.

In this instructor-led, live training in US Empire (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 objects and software applications wirelessly, enabling them to communicate and exchange data through network communications, cloud computing, and data capture. Azure offers 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.

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

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 US Empire (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to the Azure cloud for government use.

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

• Install and configure Kubernetes, Kubeflow, and other necessary software on Azure.
• Utilize Azure Kubernetes Service (AKS) to streamline the process of initializing a Kubernetes cluster on Azure for government operations.
• Create and deploy a Kubernetes pipeline for automating and managing ML models in production environments for government applications.
• Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel, enhancing efficiency for government projects.
• Leverage other AWS managed services to extend an ML application's capabilities for government use cases.

In this instructor-led, live training in US Empire (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 for government.
• 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 for government operations.

This instructor-led, live training (online or onsite) is aimed at machine learning engineers who wish to utilize Azure Machine Learning and Azure DevOps to implement MLOps practices for government.

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

• Construct reproducible workflows and machine learning models.
• Manage the entire machine learning lifecycle effectively.
• Track and report on model version history, assets, and other relevant data.
• Deploy production-ready machine learning models in any environment.