- Pedro Lopes
- Marcello de Melo
- Daniel Nunes
- Ghazi Mabrouk
Intermediate
Event organizer(s)
Supported by
Description
This 20-hour course covers the key emerging technologies shaping the digital future and their applications across various sectors. Topics will include 5G networks and their evolution towards 6G, the Internet of Things, Artificial Intelligence and Machine Learning, Quantum Computing, Cloud Computing, and Edge Computing. The course will also address cybersecurity as essential for data protection and Blockchain technology, which is redefining the management of transactions and records. At the end of the course, participants will have a comprehensive understanding of these technologies and their role in digital transformation.
With the generous support of the Global Gateway initiative of the European Union, this course is offered for free for selected participants.
This course is open for:
- Policymakers and government officials globally.
- Regulators and other ICT professionals who are keen on leveraging emerging technologies to enhance service delivery, operational efficiency and governance.
Members of the above-mentioned target population are invited to apply for the training if they meet the following criteria:
- Hold an undergraduate degree in a relevant field or have a minimum of three years of experience in the field of digital transformation if they do not hold a university degree.
- Possess a fluent level of English.
- Complete the application questionnaire and attach an up-to-date CV.
Selection will be conducted by the course organizers, who will consider the above entry requirements along with an analysis of the application questionnaire and the recommendation/motivation letter of each applicant.
Number of available places for the cohort: 30
Upon completion of this course, participants will be able to:
- Explain the capabilities and global impact of 5G and 6G technologies
- Differentiate between IoT applications in various sectors
- Analyze the role of AI and Machine Learning in automation and predictive analysis
- Evaluate the potential of Quantum Computing in solving complex problems
- Recognize the role of Cloud and Edge Computing in modern digital infrastructures
- Identify key cybersecurity challenges in modern digital environments
- Assess the impact of Blockchain technology on transaction management
To achieve the training objectives described, the course content will be delivered using the online instructor-led methodology, allowing the participants to access the course from anywhere, offering flexibility and convenience. At the beginning of the course and before the live sessions, students will be required to read selected materials related to the topic to prepare them for the course content.
Live sessions will be conducted through the Zoom platform, facilitating direct interaction between instructors and participants, as well as among the participants themselves. This approach promotes real-time discussions, group work, and instant feedback, maintaining a dynamic and interactive learning environment. Each session lasts three hours and consists of instructor presentations and group discussions. At the end of each session, the student must dedicate an additional hour to a mandatory extra reading on the topic discussed, carefully chosen to deepen the content covered by the instructor during the live sessions.
The course will take place as per the schedule below:
- Pre lecture self-paced readings: 06 to 07 October 2025
- Lecture one: 08 October 2025 from 13:30 to 16:30 (CEST)
- Lecture two: 09 October 2025 from 13:30 to 16:30 (CEST)
- Lecture three: 10 October 2025 from 13:30 to 16:30 (CEST)
- Lecture four: 13 October 2025 from 13:30 to 16:30 (CEST)
- Lecture five: 14 October 2025 from 13:30 to 16:30 (CEST)
- Individual assignment submission and final test deadline: 21 October 2025 23:59 (CEST)
The assessment and grading methodology will include:
- An individual assignment submission
- A final test
- Active participation in the live lectures
The final test will contain 20 questions to provide a more comprehensive assessment. The questions are evenly distributed across the course module topics and the extra reading content.
In addition to the final test, participants must also complete an individual assignment where the student must demonstrate their knowledge on four topics, chosen from a total of six, relating to the course content. In this assignment, participants are asked to analyse the content of each chosen theme in the context of their organisation, industry or country/region. Each of the four chosen themes must be covered in 300 to 500 words.
The garding scale is the following:
- Course Final Test: 35%
- Individual Assignment: 55%
- Active Participation in Live Lectures:10%
A total score of 70% or higher is required to obtain the ITU certificate. Please note that full attendance throughout the training is mandatory for certification. The participants will have one week after the last session to complete de final test and post the individual assignment.
Module 1: Overview of Emerging Technologies and Introduction to 5G/6G Networks
Session
Overview of Emerging Technologies and the Evolution of Global Connectivity
Learning Outcomes
- Explain the major emerging technologies driving digital transformation, including their benefits, challenges, and key trends
- Describe the capabilities of 5G and 6G networks
- Briefly outline 5G/6G network architecture
- Analyze how 5G/6G advancements enable future innovations
Module 2: Internet of Things (IoT)
Session
IoT Architecture, Applications, and Security
Learning Outcomes
- Differentiate between various IoT applications in sectors such as healthcare, manufacturing, and smart cities
- Examine the architecture and components of IoT systems
- Assess the impact of CIoT (Cellular IoT) solutions
- Identify major security challenges in IoT ecosystems
Module 3: Artificial Intelligence and Machine Learning
Session
Fundamentals and Applications of AI/ML in Industry
Learning Outcomes
- Analyze the principles of Artificial Intelligence and Machine Learning in the context of automation
- Evaluate the use of AI for predictive analytics
- Assess the ethical considerations associated with AI deployment
Module 4: Quantum Computing and Cloud/Edge Computing
Session
Next-Gen Computing: Quantum, Cloud, and Edge Technologies
Learning Outcomes
- Explain the basic principles of Quantum Computing
- Evaluate the potential applications of Quantum Computing in problem-solving
- Recognize the role of Cloud Computing in modern digital infrastructure
- Analyze the benefits of Edge Computing in reducing latency and enabling real-time analytics
Module 5: Blockchain and Cybersecurity
Session
Blockchain Applications and Cybersecurity Essentials
Learning Outcomes
- Assess the foundational principles of Blockchain technology
- Examine Blockchain use cases in finance, supply chains, and healthcare
- Identify common cybersecurity threats in digital environments
- Evaluate the importance of cybersecurity in securing Blockchain-based solutions
Registration information
Unless specified otherwise, all ITU Academy training courses are open to all interested professionals, irrespective of their race, ethnicity, age, gender, religion, economic status and other diverse backgrounds. We strongly encourage registrations from female participants, and participants from developing countries. This includes least developed countries, small island developing states and landlocked developing countries.