IoT Programming with Python Training Course

This training aims to explain the fundamentals of 5G networks and their impact on smart technologies. It highlights both the benefits and drawbacks of the relationship between these technologies (5G and IoT) and outlines the development directions of a network designed from its inception for the smart world.

6G represents the next-generation wireless communication standard, poised to revolutionize IoT ecosystems through ultra-fast connectivity, advanced sensing capabilities, and integrated AI.

This instructor-led live training, available online or onsite, is designed for advanced-level participants seeking to understand and leverage the emerging intersection of 6G technologies and IoT applications.

Upon completing this course, learners will be able to:

• Explain the core technical concepts behind 6G.
• Assess how 6G will reshape IoT device communication and architecture.
• Evaluate 6G-enabled IoT use cases across industries.
• Prepare strategies for integrating 6G capabilities into existing IoT solutions.

Format of the Course

• Concept-focused lectures combined with expert discussion.
• Applied exercises designed to reinforce key engineering principles.
• Case-based exploration and scenario analysis in a guided environment.

Course Customization Options

• For tailored versions of this training aligned with your organizational technology roadmap, please contact us to arrange.

Technological advancements and the exponential growth of information are reshaping operational practices across numerous sectors, including government. The generation of government data and the rates of digital archiving are climbing, driven by the rapid expansion of mobile devices and applications, smart sensors and IoT devices, cloud computing solutions, and citizen-facing portals. As digital information becomes more expansive and complex, the management, processing, storage, security, and disposition of this data also become more intricate. New tools for capture, search, discovery, and analysis are enabling organizations to derive meaningful insights from unstructured data. The government sector is reaching a critical juncture, recognizing information as a strategic asset. To better serve the public and fulfill mission requirements, governments must protect, leverage, and analyze both structured and unstructured information. As government leaders strive to evolve their organizations into data-driven entities, they are establishing the foundation to correlate dependencies among events, personnel, processes, and information.

High-value government solutions will emerge from the integration of several disruptive technologies:

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

Big Data represents a transformative industry solution that empowers government agencies to make superior decisions by acting on patterns revealed through the analysis of vast volumes of data—whether related or unrelated, structured or unstructured.

However, achieving these outcomes requires more than merely accumulating large amounts of data. "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," wrote 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 took a significant step toward assisting agencies in identifying these technologies by establishing the National Big Data Research and Development Initiative in 2012. This initiative allocated over $200 million to maximize the potential of the Big Data explosion and the tools necessary to analyze it.

The challenges posed by Big Data are nearly as daunting as the promise it offers is encouraging. Efficient data storage is one such challenge. With budgets remaining tight, agencies must minimize the per-megabyte cost of storage while ensuring data remains easily accessible, allowing users to retrieve information when and how they need it. Backing up massive quantities of data further intensifies this challenge.

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

Custom-developed Big Data tools are also enabling agencies to meet their analytical needs. For instance, the Computational Data Analytics Group at Oak Ridge National Laboratory 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 employed for routine tasks, such as screening resumes to connect job candidates with hiring managers.

Insurtech, also known as Digital Insurance, represents the intersection of the insurance industry and emerging technologies. Within this sector, digital insurers leverage technological innovations to revolutionize their business and operational models, aiming to lower costs, elevate the customer experience, and increase operational agility.

This instructor-led training enables participants to grasp the technologies, methodologies, and mindset required to drive digital transformation within their organizations and across the broader industry. The course is designed for managers seeking a comprehensive overview, helping them cut through industry hype and jargon to take initial steps toward developing an effective Insurtech strategy.

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

• Discuss Insurtech and its various components with intelligence and structure.
• Identify and demystify the role of key technologies within the Insurtech landscape.
• Draft a foundational strategy for implementing Insurtech within their organization.

Target Audience

• Insurance providers
• Technologists working within the insurance sector
• Stakeholders in the insurance industry
• Consultants and business analysts

Course Format

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

This instructor-led, live training in Turkey (online or onsite) is designed for intermediate-level 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:

• Understand the core 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 Turkey (online or onsite) is tailored for intermediate-level developers, system architects, and industry professionals seeking to leverage Edge AI to enhance IoT applications with intelligent data processing and analytics capabilities.

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

• Grasping the fundamentals of Edge AI and its role in IoT.
• Setting up and configuring Edge AI environments for IoT devices.
• Developing and deploying AI models on edge devices for IoT solutions.
• Implementing real-time data processing and decision-making capabilities in IoT systems.
• Integrating Edge AI with various IoT protocols and platforms.
• Addressing ethical considerations and adhering to best practices for Edge AI in IoT.

This instructor-led, live training in Turkey (online or onsite) is designed for product managers and developers who aim to decentralize data management for improved performance by leveraging smart devices 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 platforms engineered to execute specific tasks within broader operational frameworks. The Internet of Things (IoT) refers to a vast network of physical devices equipped with sensors and software, enabling them to communicate and share data via the internet.

This instructor-led live training, available either online or onsite, targets technical professionals at the beginner level who aim to grasp and apply concepts related to embedded systems and IoT using C programming and microcontroller architectures.

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

• Comprehend the architecture and core components of embedded systems.
• Write and compile C code to facilitate interaction with embedded hardware.
• Utilize microcontroller peripherals, including timers and ADCs.
• Understand the role of embedded systems within IoT architectures.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live laboratory environment.

Customization Options

• For requests regarding customized training for this course, please contact us to make arrangements.

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

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

• Grasp the principles and advantages of applying 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 capabilities within edge computing environments.
• Overcome challenges associated with data privacy and network limitations in IoT systems.

This instructor-led, live training in Turkey (onsite or remote) is aimed at engineers who wish to set up, deploy and manage a secure IoT application.

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

• Develop and deploy applications to manage IoT devices securely.
• Securely integrate IoT devices to the Cloud.
• Integrate an IoT application with existing infrastructure.

The Internet of Things (IoT) represents an evolving technological landscape that wirelessly links physical devices with software applications to enable remote monitoring and control. Augmented Reality (AR) enhances user experience by overlaying computer-generated virtual content onto the physical world. AR empowers businesses to present real-time, context-aware information directly within the user's real-world environment. Both technologies are witnessing accelerated adoption rates across various sectors.

This instructor-led live training session allows participants to grasp the core principles of IoT and AR and explore how to integrate these insights into their organizational strategies and daily operations.

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

• Grasp the foundational concepts of IoT and AR
• Comprehend the operational mechanisms of IoT and AR technologies
• Identify strategic applications of IoT and AR within their business frameworks
• Make well-informed strategic decisions regarding IoT and AR implementation

Target Audience

• Managers
• Entrepreneurs

Course Format

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

Note

• To arrange a customized training program for this course, please get in touch with us.

The Internet of Things (IoT) represents a network infrastructure that wirelessly links physical objects with software applications, enabling seamless communication, data exchange, and collaboration through network connectivity, cloud computing, and data capture capabilities.

In this instructor-led live training, participants will explore the core concepts of IoT by building an IoT sensor system using a Raspberry Pi.

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

• Grasp IoT principles, including key components and communication methods
• Configure a Raspberry Pi specifically for IoT applications
• Design and deploy a personal IoT sensor system

Audience

• DIY enthusiasts and hobbyists
• Hardware and software engineers and technicians
• Professionals from all technical fields
• Novice developers

Course Format

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

Note

• While the Raspberry Pi supports multiple operating systems and programming languages, this course utilizes Linux-based Raspbian as the operating system and Python as the programming language. For alternative setup requirements, please contact us to arrange.
• Participants must purchase their own Raspberry Pi hardware and components.

In this instructor-led live training in Turkey, participants will explore various aspects 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 an ecosystem.
• Understand and explain the security features built into NB-IoT devices.
• Develop a simple application to track NB-IoT devices.

The Raspberry Pi is a compact, single-board computer.

Through this instructor-led live training, participants will acquire the skills to configure and program the Raspberry Pi to function as a robust and interactive embedded system.

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

• Configuring an IDE (integrated development environment) to maximize development efficiency
• Programming the Raspberry Pi to manage devices such as motion sensors, alarms, web servers, and printers.
• Gaining a comprehensive understanding of the Raspberry Pi’s architecture, including its inputs and connectors for add-on peripherals.
• Evaluating the available programming languages and operating system options.
• Testing, debugging, and deploying the Raspberry Pi to address real-world challenges.

Audience

• Developers
• Hardware/software technicians
• Technical professionals across various industries
• Hobbyists

Course Format

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

Note

• The Raspberry Pi supports a wide range of operating systems and programming languages. This course utilizes the Linux-based Raspbian operating system and Python as the programming language. To request a specific setup, please contact us.
• Participants are responsible for purchasing the Raspberry Pi hardware and necessary components.

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

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

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 heavy hands-on practice

Note

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