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Course code: 000260
School of Computer Science
Introduction to Internet of Things (IoT)
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Currently, this course is conducted only in an intracorporate format.
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What this course about?

In today's rapidly evolving digital landscape, the Internet of Things (IoT) has emerged as a transformative technology that is reshaping industries, streamlining processes, and creating new opportunities for innovation. As businesses and organizations increasingly adopt IoT solutions to enhance efficiency, productivity, and decision-making, the demand for professionals equipped with IoT expertise is growing exponentially. Our comprehensive IoT Training Programme is designed to empower you with the knowledge, skills, and hands-on experience needed to succeed in the IoT-driven future.

Our IoT Training Programme provides a deep dive into key IoT concepts, current trends, and real-world applications across various industries, such as consumer, commercial, industrial, and infrastructural domains. By participating in this course, you will not only gain a thorough understanding of the IoT ecosystem but also develop the ability to evaluate and implement IoT solutions in diverse scenarios.

One of the defining features of our programme is the focus on ethical, security, and interoperability considerations that surround IoT adoption. In an increasingly connected world, these factors are crucial for businesses and individuals alike. Our course will equip you with the knowledge to recognize and navigate these challenges while adhering to best practices and emerging trends in IoT security.

The course also delves into the Industrial Internet of Things (IIoT), a specialized subset of IoT that is revolutionizing traditional industries. By exploring IIoT applications, challenges, and opportunities, you will acquire a comprehensive understanding of this high-growth sector and its potential impact on the global economy.

Our IoT Training Programme offers insight into the dynamic IoT industry, solution development, and the roles of various solution providers and platforms in the IoT ecosystem. With this knowledge, you will be well-positioned to adapt to the ever-changing IoT landscape and contribute effectively to your organization's IoT initiatives.

Lastly, the course covers IoT protocols, standards, and security best practices, ensuring that you are equipped with the most up-to-date information and strategies to protect IoT systems from potential threats.

In conclusion, our IoT Training Programme offers a unique blend of theoretical knowledge and practical experience to help you thrive in the IoT era. By participating in this course, you will gain a competitive edge in the job market and a solid foundation for a successful career in IoT. Don't miss this opportunity to embrace the future and become a sought-after IoT professional. Enroll today!

Who is this course for?
This Internet of Things (IoT) Training Programme is suitable for a wide range of participants, including:
• IT professionals: Software developers, system administrators, network engineers, and IT managers who want to gain a deeper understanding of IoT concepts, applications, and implementations.
• Engineering professionals: Electrical, electronic, computer, and telecommunication engineers who want to expand their knowledge of IoT technologies, protocols, and use cases in their respective fields.
• Business professionals: Product managers, project managers, business analysts, and decision-makers who are interested in leveraging IoT solutions to improve their organization's efficiency, productivity, and innovation capabilities.
• Researchers and academics: Individuals involved in research or teaching in the areas of computer science, engineering, or information technology who want to stay up-to-date with the latest developments and trends in IoT.
• Students: University and college students pursuing degrees in computer science, engineering, information technology, or related fields who want to gain practical knowledge and skills in IoT.
• IoT enthusiasts: Individuals with a personal interest in IoT technologies and applications who want to gain a comprehensive understanding of the IoT landscape, including its potential benefits and challenges.
This course does not require prior knowledge of IoT, but a basic understanding of computer networking, programming, and electronics may be helpful.
What will you learn?
  • Understand key concepts and identify current trends in IoT, including its structure, requirements, and applications across various industries
  • Recognize ethical, security, and interoperability considerations surrounding IoT adoption, and their impact on businesses and consumers
  • Gain hands-on experience with IoT components, including sensors, connectivity options, and data analytics, through practical lab exercises
  • Evaluate appropriate solutions and models for implementing cloud computing in a given scenario, considering factors such as scalability, cost, and data security
  • Develop a deeper understanding of the Industrial Internet of Things (IIoT) and its applications, challenges, and opportunities
  • Understand IoT industry trends, solution development, and the roles of various solution providers and platforms in the IoT ecosystem
  • Learn about IoT protocols, standards, and best practices for securing IoT systems, as well as emerging trends in IoT security
Course outline
  • What is IoT and why is it important?
  • Elements of an IoT ecosystem
  • Technology and business drivers
  • IoT applications, trends, and implications
  • Sensing components and devices
  • Sensor modules, nodes, and systems
  • Wireless technologies for IoT
  • Edge connectivity and protocols
  • Wireless sensor networks
  • Signal processing, real-time and local analytics
  • Databases, cloud analytics, and applications
  • Local processing on sensor nodes
  • Connecting devices at the edge and to the cloud
  • Setting up wireless mesh networks
  • Processing and analyzing data offline and in the cloud
  • Ethical considerations in IoT
  • Security challenges and best practices
  • Interoperability and standardization
  • Implementing IoT in a given scenario
  • Introduction to cloud computing
  • Cloud computing models for IoT
  • Selecting the right cloud solution for a given scenario
  • Introduction to IIoT
  • IIoT applications and use cases
  • Challenges and opportunities in IIoT
  • Market trends and growth
  • IoT solution providers and platforms
  • Developing IoT solutions for specific industries
  • Overview of IoT protocols
  • Common IoT protocols and their applications
  • Standardization efforts and organizations
  • Security threats and challenges in IoT
  • Best practices for securing IoT systems
  • Emerging trends in IoT security
Eni
Total
Eni
Endesa
Shell
Chevron
Gas Natural
Iberdrola
Eni
Inpex
Eni
Exonmobile
Frequently Asked Questions (FAQ)

Training can take place in 4 formats:

  • Self-paced
  • Blended learning
  • Instructor-led online (webinar)
  • Instructor-led offline (classroom)

Description of training formats:

  • Self-paced learning or e-Learning means you can learn in your own time and control the amount of material to consume. There is no need to complete the assignments and take the courses at the same time as other learners.
  • Blended learning or "hybrid learning" means you can combine Self-paced learning or e-Learning with traditional instructor-led classroom or webinar activities. This approach requires physical presence of both teacher and student in physical or virtual (webinars) classrooms or workshops. Webinar is a seminar or presentation that takes place on the internet, allowing participants in different locations to see and hear the presenter, ask questions, and sometimes answer polls.
  • Instructor-led training, or ILT, means that the learning can be delivered in a lecture or classroom format, as an interactive workshop, as a demonstration under the supervision and control of qualified trainer or instructor with the opportunity for learners to practice, or even virtually, using video-conferencing tools.

When forming groups of students, special attention is paid to important criteria - the same level of knowledge and interests among all students of the course, in order to maintain stable group dynamics during training.

Group dynamics is the development of a group in time, which is caused by the interaction of participants with each other and external influence on the group. In other words, these are the stages that the training group goes through in the process of communicating with the coach and among themselves.

The optimal group size for different types of training:

  • Self-paced / E-learning: 1
  • Instructor-led off-line (classroom): 6 – 12
  • Instructor-led on-line (webinar): 6 – 12
  • Blended learning: 6 – 12
  • Workshop: 6 – 12
  • On-the-job: 2 – 4
  • Simulator: 1 – 2

Feedback in the form of assessments and recommendations is given to students during the course of training with the participation of an instructor and is saved in the course card and student profile.

In order to control the quality of the services provided, students can evaluate the quality and training programme. Forms of assessment of the quality of training differ for courses with the participation of an instructor and those that are held in a self-paced format.

For courses with an instructor, start and end dates are indicated. At the same time, it is important to pay attention to the deadlines for passing tests, exams and practical tasks. If the specified deadlines are missed, the student may not be allowed to complete the entire course programme.

A personal account is a space for storing your training preferences, test and exam results, grades on completed training, as well as your individual plan for professional and personal development.

Users of the personal account have access to articles and blogs in specialized areas, as well as the ability to rate the completed training and leave comments under the articles and blogs of our instructors and technical authors

Registered users of a personal account can have various roles, including the role of a student, instructor or content developer. However, for all roles, except for the student role, you will need to go through an additional verification procedure to confirm your qualifications.

Based on the results of training, students are issued a certificate of training. All training certificates fall into three main categories:

  • Certificate of Attendance - students who successfully completed the course but did not pass the tests and exams can apply for a certificate of attendance.
  • Certificate of Completion - students who have successfully completed a course could apply for a Certificate of Completion, this type of certificate is often required for compliance training.
  • Verified Certificate - it is a verified certificate that is issued when students have passed exams under the supervision of a dedicated proctor.

You can always download a copy of your training certificate in PDF format in your personal account.

You will still have access to the course after completing it, provided that your account is active and not compromised and Tecedu is still licensed for the course. So if you want to review specific content in the course after completing it, or do it all over again, you can easily do so. In rare cases, instructors may remove their courses from the Tecedu marketplace, or we may need to remove a course from the platform for legal reasons.

During the training, you may encounter various forms of testing and knowledge testing. The most common assessment methods are:

  • preliminary (base-line assessment) - to determine the current level of knowledge and adapt the personal curriculum
  • intermediate - to check the progress of learning
  • final - to complete training and final assessment of knowledge and skills, can be in the form of a project, testing or practical exam

Travel to the place of full-time training is not included in the cost of training. Accommodation during full-time studies can be included in the full board tuition fees.

While Tecedu is not an accredited institution, we offer skills-based courses taught by real experts in their field, and every approved, paid course features a certificate of completion or attendance to document your accomplishment.

You can preview samples of the training materials and review key information about the course on our website. You can also review feedback and recommendations from students who already completed this course.

We want you to be happy, so almost all purchased courses can be returned within 30 days. If you are not satisfied with the course, you can request a refund, provided the request complies with our return policy.

The 30-day money back policy allows students to receive quality teaching services with minimal risk, we must also protect our teachers from fraud and provide them with a reasonable payment schedule. Payments are sent to instructors after 30 days, so we will not process refund requests received after the refund period.

We reserve the right, in our sole discretion, to limit or deny refund requests in cases where we believe there is refund abuse, including but not limited to the following:

  • A significant portion of the course has been consumed or downloaded by a student before the refund was requested.
  • Multiple refunds have been requested by a student for the same course.
  • Excessive refunds have been requested by a student.
  • Users whose account is blocked or access to courses is disabled due to violation of our Terms and Conditions or the Rules of Trust and Security.
  • We do not grant refunds for any subscription services.
  • These refund restrictions will be enforced to the extent permitted by applicable law.

We accept most international credit and debit cards like Visa, MasterCard, American Express, JCB and Discover. Bank Transfers also may be an option.

Smart Virtual Classroom (open digital / virtual classroom).

Conducting classes is based on the fact that the teacher demonstrates text, drawings, graphics, presentations on an interactive board, while the content appears in the student's electronic notebook. A specially designed digital notepad and pen are used to create and edit text and images that can be redirected to any surface via a projector.

Classes are live streamed online, automatically recorded and published on the Learning Portal, allowing you to save them for reuse anytime, anywhere, on any mobile device. This makes it possible not to miss classes and keep up with classes and keep up with the passage of new material.

Game Based Learning (learning using a virtual game environment)

Real-life training uses the principles of game organization, which allows future professionals to rehearse and hone their skills in a virtual emergency. Learning as a game provides an opportunity to establish a connection between the learning activity and real life.

The technology provides the following learning opportunities:

  • Focused on the needs of the user
  • Instant feedback
  • Independent decision making and choice of actions
  • Better assimilation and memorization of the material
  • Adaptive pace of learning tailored to the individual needs of the student
  • Better transfer of skills learned in a learning situation to real conditions

Basic principles of training:

  • A gradual increase in the level of difficulty in the game;
  • Using a simplified version of a problem situation;
  • Action in a variable gaming environment;
  • The right choice is made through experimentation.

The main advantages of Game Based Learning technology:

  • Low degree of physical risk and liability
  • Motivation to learn while receiving positive emotions from the process;
  • Practice - mirroring the real situation
  • Timely feedback
  • Choice of different playing roles
  • Learning in collaboration
  • Developing your own behavior strategy
Laboratory workshops using remote access technologies

Conducting practical classes online using remote access technologies for presentations, multimedia solutions and virtual reality:

  • Laboratory workshops that simulate the operation of expensive bench equipment in real production
  • Virtual experiment, which is visually indistinguishable from a remote real experiment performed
  • Virtual instruments, which are an exact copy of real instruments
  • Mathematical modeling to clarify the physical characteristics, chemical content of the investigated object or phenomenon.
Introduction to Internet of Things (IoT)
Language: English, Russian
Level: Intermediate
Special Offer
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