This course is open for: 

• Policymakers and government officials.
• 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, a recommendation letter from their employer, or a motivation letter.

Government officials and policymakers from developing countries, particularly women, are encouraged to apply.

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: 

1. Explain the capabilities and global impact of 5G and 6G technologies 

2. Differentiate between IoT applications in various sectors

3. Analyze the role of AI and Machine Learning in automation and predictive analysis

4. Evaluate the potential of Quantum Computing in solving complex problems

5. Recognize the role of Cloud and Edge Computing in modern digital infrastructures 

6. Identify key cybersecurity challenges in modern digital environments 

7. Assess the impact of Blockchain technology on transaction management

The course will be delivered in a Face-to-Face (F2F) format, combining instructor-led presentations with interactive discussions to foster an engaging learning environment. The instructor will introduce each topic through structured lectures, using real-world examples and case studies to enhance learning. 

Throughout the sessions, participants will be encouraged to actively participate by asking questions and engaging in open discussions. Group activities and debates will be facilitated to promote collaborative learning, allowing participants to explore the implications of emerging technologies in various sectors. This methodology ensures a dynamic and participatory learning experience, supporting the development of both individual insights and collective knowledge.

The course assessment methodology includes three components: 

1. First, the instructor will evaluate the active participation of the participants during the discussion groups.
2. Second, each module concludes with a quiz containing 10 multiple-choice questions, each with five answer options. Of these, eight questions have only one correct answer, while two questions require selecting multiple correct answers. The quizzes must be completed at the end of each day during the session wrap-up.
3. Third, participants will complete a final assignment on the last afternoon of the course, in which they will be divided into six groups of five members. Each group will be assigned a topic related to the course content and will prepare and present a collaborative presentation to the rest of the class. Each presentation must last a maximum of 15 minutes. The course instructor will offer guidance on utilizing AI tools to aid in the creation of these presentations. The proposed themes are: 

• The Role of 5G and 6G in Enabling Smart Cities: Exploring how advanced connectivity supports urban development, smart infrastructure, and sustainable city management. In this presentation, the group should analyze how 5G and 6G connectivity is fundamental in building smart cities, and supporting essential urban infrastructures such as transportation, waste management, and energy distribution. The focus should be on how these advanced technologies promote sustainable city management, enable real-time data analysis, and provide reliable network connections in high-density areas. Groups should highlight specific challenges or infrastructure considerations related to the implementation of 5G/6G in their country/region.
• IoT Applications in Healthcare vs. Agriculture: Comparing the unique demands and innovations IoT brings to healthcare for patient monitoring and diagnostics and to agriculture for crop management and resource optimization. In this presentation, the group will compare the distinct requirements that IoT addresses in healthcare and agriculture. In healthcare, IoT has enabled innovations in patient monitoring and diagnostics, while in agriculture, it supports precision farming, crop management, and resource efficiency. Each group should explore specific IoT applications for each sector, examining implementation and regulatory challenges in their country/region. The focus should be on how IoT meets the specific needs of each sector and the local impact of these technologies.
• AI and Machine Learning in Predictive Maintenance and Customer Experience: Examining how AI and ML are transforming maintenance in manufacturing and personalizing customer interactions in retail. In this presentation, the group should examine how AI and machine learning are revolutionizing predictive maintenance in manufacturing and enhancing customer experience in retail. The group should assess how these technologies enable proactive equipment monitoring to prevent costly downtimes and personalize customer interactions for greater satisfaction. It is required to discuss adoption challenges of these technologies, such as data management or workforce training, specific to their country or region context.
• Quantum Computing's Future Impact on Cybersecurity and Financial Modeling: Analyzing the potential of quantum algorithms to advance cybersecurity and optimize financial systems. In this presentation, the group should explore the transformative potential of quantum computing, especially in strengthening cybersecurity and optimizing financial models. They should analyze how quantum algorithms can revolutionize encryption, data protection, and predictive analytics in financial markets. The group should also investigate potential challenges in deploying quantum computing infrastructure, such as regulatory considerations or resource allocation specific to their country/region.
• Cloud vs. Edge Computing in Real-Time Data Processing for Autonomous Vehicles: Evaluating how cloud and edge solutions can enhance data processing efficiency and safety for autonomous driving systems. In this presentation, the group will evaluate the roles of cloud and edge computing in real-time data processing for autonomous vehicles. They should analyze how each computing model supports low-latency data transmission, enhancing safety and efficiency in autonomous systems. Considerations about infrastructure and regulatory challenges related to deploying cloud or edge solutions for autonomous vehicles in their country/region, such as connectivity requirements and data security issues, should be addressed.
• Blockchain for Secure Supply Chain Management: Investigating how blockchain can improve transparency, traceability, and security in global supply chains. In this presentation, the group should investigate how blockchain technology is being used to secure global supply chains, enhancing transparency, traceability, and security. Groups should explore how blockchain can address existing vulnerabilities in supply chains, especially in sectors like food, pharmaceuticals, or electronics. Additionally, the group should highlight regional challenges for blockchain adoption in their country/region, such as regulatory compliance or integration with existing systems.

These topics should aim to leverage the technologies covered in the course to develop practical, impactful solutions tailored to local needs.

Participants will be evaluated based on the following criteria:

• Active participation in group discussions: 10%
• Quizzes: 35%
• Final assignment: 55%

Certification requirements:

• A minimum total score of 70% is required to obtain the ITU certificate.
• Full attendance throughout the training is mandatory for certification.

Day 1

• Module 1 – Introduction to Emerging Technologies (2 hours)
  • Topics Covered: Overview of Emerging Technologies
• Module 2 – Introduction to 5G and 6G Networks (4 hours)
  • Topics Covered: Introduction to 5G and 6G networks, evolution of global connectivity

Day 2

• Module 3 – Internet of Things (IoT) (6 hours)
  • Topics Covered: IoT architecture and components, applications of IoT in healthcare, manufacturing, smart cities, IoT solutions based on CIoT (Cellular IoT), security challenges in IoT ecosystems

Day 3

• Module 4 – Artificial Intelligence and Machine Learning (6 hours)
  • Topics Covered: Fundamentals of AI and ML, automation and predictive analytics, AI applications in business and industry

Day 4

• Module 5 – Quantum Computing and Cloud/Edge Computing (6 hours)
  • Topics Covered: Basics of Quantum Computing, potential of Quantum Computing in problem-solving, Cloud and Edge Computing for modern infrastructure

Day 5

• Module 6 – Blockchain and Cybersecurity (8 hours)
  • Topics Covered: Fundamentals of Blockchain technology, Blockchain applications in finance, supply chain and healthcare, key cybersecurity challenges in digital environments