Securing Cloud and IoT Applications Training Course

This training aims to clarify what 5G networks are and how they influence smart technologies. We will explore both the benefits and limitations of the synergy between 5G and IoT, while outlining the developmental trajectory of a network designed from the outset for the smart world.

6G represents the next generation of wireless communication standards, poised to revolutionize IoT ecosystems through ultra-high-speed connectivity, advanced sensing technologies, and integrated AI capabilities.

This instructor-led live training (available online or onsite) is designed for advanced participants seeking to understand and harness the emerging convergence of 6G technologies and IoT applications.

Upon completing this course, learners will be able to:

• Articulate the fundamental technical principles underlying 6G.
• Evaluate how 6G will transform IoT device communication and architecture.
• Assess 6G-enabled IoT use cases across various industries.
• Develop strategies for integrating 6G capabilities into existing IoT solutions.

Course Format

• Concept-driven lectures complemented by expert-led discussions.
• Practical exercises designed to reinforce key engineering principles.
• Guided exploration of case studies and scenario analysis.

Customization Options

• For customized versions of this training aligned with your organization’s technology roadmap, please contact us to arrange.

Technological advancements and the exponential growth of data are reshaping business operations across numerous sectors, including government. The volume of data generated and archived digitally by government entities is surging, driven by the proliferation of mobile devices and applications, smart sensors, cloud computing solutions, and citizen-facing portals. As digital information expands and grows more complex, the challenges associated with its management, processing, storage, security, and disposition intensify. New tools for capturing, searching, discovering, and analyzing data are enabling organizations to extract valuable insights from unstructured information. The government sector is at a critical juncture, recognizing information as a strategic asset. Governments must now protect, leverage, and analyze both structured and unstructured data to better fulfill mission requirements. As leaders work to evolve data-driven organizations, they are establishing the framework to correlate dependencies among events, people, processes, and information.

High-impact government solutions are emerging from the integration of disruptive technologies:

• Mobile devices and applications
• Cloud services
• Social business technologies and networking
• Big Data and analytics

Big Data serves as an intelligent industry solution, empowering governments to make superior decisions by acting on patterns revealed through the analysis of vast volumes of data—both related and unrelated, structured and unstructured.

However, achieving these outcomes requires more than merely accumulating large datasets. "Making sense of these volumes of Big Data requires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information," noted Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy in a post on the OSTP Blog.

The White House advanced this effort by launching the National Big Data Research and Development Initiative in 2012. This initiative allocated over $200 million to capitalize on the Big Data explosion and the tools necessary to analyze it.

The challenges posed by Big Data are as formidable as its potential is promising. Efficient data storage is a primary concern. With budgets often constrained, agencies must minimize the cost per megabyte of storage while ensuring data remains easily accessible for users when and how they need it. Backing up massive data volumes further complicates this challenge.

Effective data analysis presents another major hurdle. Many agencies utilize commercial tools to sift through vast data sets, identifying trends that enhance operational efficiency. (A recent MeriTalk study indicated that federal IT executives believe Big Data could help agencies save over $500 billion while meeting mission objectives).

Custom-developed Big Data tools are also enabling agencies to meet their analytical needs. For instance, Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. This system has assisted medical researchers in identifying links that can alert doctors to aortic aneurysms before they occur. It is also applied to routine tasks, such as screening resumes to match candidates with hiring managers.

Insurtech (also known as Digital Insurance) represents the intersection of insurance and emerging technologies. Within this domain, "digital insurers" leverage technological innovations to transform their business and operational models, aiming to reduce costs, enhance customer experience, and increase operational agility.

Through this instructor-led training, participants will gain a comprehensive understanding of the technologies, methodologies, and mindset required to drive digital transformation within their organizations and across the broader industry. The course is designed for managers who seek a holistic understanding of the field, wish to cut through the hype and jargon, and are ready to take initial steps toward establishing a robust Insurtech strategy.

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

• Discuss Insurtech and its various components with intelligence and systematic clarity
• Identify and demystify the role of each key technology within the Insurtech ecosystem
• Draft a general strategy for implementing Insurtech initiatives within their organization

Audience

• Insurance professionals
• Technologists within the insurance industry
• Insurance stakeholders
• Consultants and business analysts

Format of the course

• A blend of lectures, discussions, exercises, and group case study activities

This instructor-led live training in Sweden (online or onsite) is designed for intermediate IT professionals and business managers seeking to understand how IoT and edge computing can drive efficiency, real-time processing, and 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 role in digital transformation.
• Identify use cases for IoT and edge computing in manufacturing, logistics, and energy sectors.
• Differentiate between edge and cloud computing architectures and deployment scenarios.
• Implement edge computing solutions for predictive maintenance and real-time decision-making.

This instructor-led, live training in Sweden (online or onsite) is aimed at intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI for enhancing IoT applications with intelligent data processing and analytics capabilities.

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

• Understand the fundamentals of Edge AI and its application in IoT.
• Set up and configure Edge AI environments for IoT devices.
• Develop and deploy AI models on edge devices for IoT applications.
• Implement real-time data processing and decision-making in IoT systems.
• Integrate Edge AI with various IoT protocols and platforms.
• Address ethical considerations and best practices in Edge AI for IoT.

This instructor-led, live training in Sweden (online or onsite) is aimed at product managers and developers who wish to use Edge Computing to decentralize data management for faster performance, leveraging smart devices located on the source network.

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

• Understand the basic concepts and advantages of Edge Computing.
• Identify the use cases and examples where Edge Computing can be applied.
• Design and build Edge Computing solutions for faster data processing and reduced operational costs.

Embedded systems are specialized computing environments engineered to execute specific tasks within broader apparatuses. The Internet of Things (IoT) represents a vast network of connected physical devices, equipped with sensors and software, enabling them to communicate and exchange information via the internet.

This instructor-led live training (available online or on-site) targets technical professionals at the beginner level who seek to grasp and implement embedded systems and IoT principles using C programming and microcontroller architectures.

Upon completion of this training, participants will be capable of:

• Comprehending the structure and constituent parts of embedded systems.
• Writing and compiling C code to facilitate interaction with embedded hardware.
• Utilizing microcontroller peripherals, including timers and ADCs.
• Grasping the role of embedded systems within IoT architectures.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Practical implementation in a live laboratory environment.

Customization Options for the Course

• For requests regarding customized training for this course, please get in touch with us to make arrangements.

This instructor-led, live training in Sweden (online or onsite) is designed for intermediate-level professionals seeking to apply Federated Learning to optimize IoT and edge computing solutions.

Upon completion of this training, participants will be able to:

• Grasp the fundamental principles and advantages of Federated Learning in IoT and edge computing.
• Deploy Federated Learning models on IoT devices to enable decentralized AI processing.
• Minimize latency and enhance real-time decision-making within edge computing environments.
• Navigate challenges associated with data privacy and network limitations in IoT systems.

The Internet of Things (IoT) represents an emerging technological domain that wirelessly connects physical devices and software applications to enable remote monitoring and control. Augmented Reality (AR) enhances user experience by merging virtual, computer-generated elements with the physical real-world environment, allowing businesses to deliver real-time, contextual information to their users. Both technologies are experiencing rapid adoption rates across diverse industries.

During this instructor-led live training, participants will gain a solid understanding of the fundamentals of IoT and AR and learn how to apply these concepts to their organization’s operations and strategic goals.

Upon completion of this course, participants will be able to:

• Grasp the core principles of IoT and AR
• Comprehend the underlying mechanics of IoT and AR technologies
• Identify how IoT and AR can support business strategy
• Make well-informed strategic decisions regarding IoT and AR implementation

Audience

• Managers
• Entrepreneurs

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• For customized training options, please contact us to arrange your specific needs.

In this instructor-led live training conducted in Sweden, participants will learn the fundamentals of IoT by creating an Arduino-based IoT sensor system.

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

• Understand IoT principles, including components and communication techniques.
• Learn how to utilize Arduino communication modules suitable for diverse IoT systems.
• Master the use and programming of a mobile app for Arduino control.
• Use a Wi-Fi module to connect the Arduino to another device.
• Build and deploy their own IoT Sensor System.

Internet of Things (IoT) represents a network infrastructure that wirelessly connects physical objects with software applications, enabling communication and data exchange through network communications, cloud computing, and data capture. Azure provides a comprehensive suite of cloud services, including an IoT Suite with preconfigured solutions designed to help developers accelerate IoT project development.

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
• 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 heavy hands-on practice

Note

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

The objective of this training is to introduce participants to the realms of the Internet of Things (smart solutions) and blockchain, while clearly outlining the benefits and drawbacks of these technological landscapes.

In this instructor-led live training in Sweden, participants will explore the various facets of NB-IoT (also known as LTE Cat NB1) while developing and deploying a sample NB-IoT-based application.

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

• Identify the different components of NB-IoT and understand how they integrate to form a cohesive ecosystem.
• Understand and explain the security features embedded within NB-IoT devices.
• Develop a simple application for tracking NB-IoT devices.

ThingsBoard is an open-source IoT platform designed to handle device management, data collection, processing, and visualization for your IoT solutions.

During this instructor-led live training, participants will discover how to seamlessly integrate ThingsBoard into their IoT ecosystems.

Upon completing this course, participants will be capable of:

• Installing and setting up ThingsBoard
• Grasping the core features and architectural principles of ThingsBoard
• Developing IoT applications using ThingsBoard
• Connecting ThingsBoard with Kafka to route telemetry data from devices
• Leveraging Apache Spark with ThingsBoard to aggregate data across multiple devices

Target Audience

• Software Engineers
• Hardware Engineers
• Developers

Course Format

• A blend of lectures, discussions, practical exercises, and extensive hands-on practice

Important Note

• For customized training arrangements, please reach out to us directly.