Programming for IoT with Azure Training Course

Explore the innovative domain of edge computing with this advanced course designed for government professionals. Delve into sophisticated architectures and address integration challenges, equipping yourself to harness the full potential of edge computing in diverse public sector environments. Acquire expertise in cutting-edge tools and methodologies to deploy, manage, and optimize edge computing solutions that meet specific industry needs for government.

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 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.

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

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level IT professionals and business managers who wish to understand the potential of IoT and edge computing for enhancing efficiency, enabling real-time processing, and fostering innovation across various industries.

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

• Comprehend the principles of IoT and edge computing and their significance in digital transformation efforts for government.
• Identify use cases for IoT and edge computing in sectors such as manufacturing, logistics, and energy.
• Distinguish between edge and cloud computing architectures and deployment scenarios to optimize resource allocation.
• Implement edge computing solutions to support predictive maintenance and facilitate real-time decision-making processes for government operations.

Integrate the transformative capabilities of artificial intelligence (AI) with the agility of edge computing in this comprehensive course designed for government professionals. Participants will learn to deploy AI models directly on edge devices, covering topics from understanding convolutional neural network (CNN) architectures to mastering knowledge distillation and federated learning. This hands-on training will equip you with the skills necessary to optimize AI performance for real-time processing and decision-making at the edge, ensuring alignment with public sector workflows, governance, and accountability.

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI to enhance IoT applications with advanced data processing and analytics capabilities.

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

• Understand the foundational principles of Edge AI and its application in IoT systems for government.
• Set up and configure Edge AI environments suitable for IoT devices used in public sector workflows.
• Develop and deploy AI models on edge devices to support IoT applications aligned with government objectives.
• Implement real-time data processing and decision-making capabilities in IoT systems for enhanced governance and accountability.
• Integrate Edge AI with various IoT protocols and platforms commonly used in the public sector.
• Address ethical considerations and best practices in Edge AI deployment for government applications.

This instructor-led, live training in US Empire (online or onsite) is aimed at product managers and developers who wish to utilize Edge Computing to decentralize data management for enhanced performance, leveraging intelligent devices located on the source network for government applications.

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

• Comprehend the fundamental concepts and benefits of Edge Computing.
• Recognize the use cases and examples where Edge Computing can be effectively applied.
• Develop and implement Edge Computing solutions for more efficient data processing and reduced operational costs in public sector environments.

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 diverse clouds, and the assurance of flexibility and redundancy. This training offers essential knowledge on creating a scalable and secure infrastructure that supports the dynamic needs of modern applications with edge computing.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to enhance IoT and edge computing solutions for government.

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

• Comprehend the principles and benefits of Federated Learning in the context of IoT and edge computing.
• Deploy Federated Learning models on IoT devices to support decentralized artificial intelligence processing.
• Minimize latency and enhance real-time decision-making capabilities in edge computing environments.
• Tackle challenges related to data privacy and network limitations in IoT systems for government operations.

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

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.

In this instructor-led, live training in US Empire, participants will gain an understanding of the various aspects of NB-IoT (also known as LTE Cat NB1) as they develop and deploy a sample NB-IoT-based application for government use.

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

• Identify the different components of NB-IoT and how they integrate to form an ecosystem suitable for government applications.
• Understand and explain the security features built into NB-IoT devices to ensure compliance with government standards.
• Develop a simple application to track NB-IoT devices, enhancing operational efficiency for government agencies.

ThingsBoard is an open-source IoT platform that provides device management, data collection, processing, and visualization capabilities for your IoT solution.

In this instructor-led, live training, participants will learn how to integrate ThingsBoard into their IoT solutions for government use.

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

• Install and configure ThingsBoard
• Understand the fundamentals of ThingsBoard features and architecture
• Build IoT applications with ThingsBoard
• Integrate ThingsBoard with Kafka for telemetry device data routing
• Integrate ThingsBoard with Apache Spark for data aggregation from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

Format of the Course

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

Note

• To request a customized training for government use, please contact us to arrange.