- Daniel Nunes
- Gustavo Fonseca Ribeiro
Intermediate
- Bank transfer
- Paypal
Event Organizer(s)
Description
This course is designed for government officers, regulators, and policymakers operating within the telecommunications ecosystem. In a landscape where Generative Artificial Intelligence is redefining industries, this training empowers participants to leverage prompt engineering as a powerful tool to enhance efficiency, analytical depth, and agility in decision-making. The course goes beyond theory, focusing on practical applications and case studies directly relevant to the sector's challenges, such as spectrum analysis, network security, drafting technical reports, and regulatory monitoring.
The course targets policymakers and legislators, analysts and specialists from regulatory agencies, managers and civil servants from ministries, as well as consultants and technical advisors working in the public sector.
Members of the above-mentioned target population are invited to apply for the training if they meet the following criteria:
- Have basic knowledge of ICT and/or technology-related issues and the ability to understand the course topics.
- Possess a fluent level of English.
Candidates 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 applications.
The number of available places is limited to 30.
Upon completion of this course, participants will be able to:
- Describe the fundamentals of Generative AI and Large Language Models (LLMs), and explain their strategic impact on the telecommunications sector;
- Apply fundamental and advanced prompt engineering techniques to structure queries and extract information from AI models;
- Analyse complex sector-specific problems to craft effective prompts for generation of solutions (including summarizing documents, drafting policy opinions, simulating network security scenarios, and simplifying technical jargon for strategic communication).
- Evaluate AI-generated outputs for biases, ethics, security risks, and qualified human oversight;
- Formulate a personal action plan to integrate the use of prompt engineering securely, ethically, and efficiently into work processes.
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. 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.
The live lecture will take place as per the schedule below:
- Pre lecture self-paced readings: August 17, 2026
- Lecture one: August 18, 2026 from 13:30 to 16:30 (CEST)
- Lecture two: August 19, 2026 from 13:30 to 16:30 (CEST)
- Lecture three: August 21, 2026 from 13:30 to 16:30 (CEST)
- Lecture four: August 24, 2026 from 13:30 to 16:30 (CEST)
- Lecture five: August 26, 2026 from 13:30 to 16:30 (CEST)
The assessment and grading methodology will include:
- Five session multiple-choice quizzes
- An individual assignment submission
- Active participation in the live lectures
Each of the 5 sessions will have a quiz with 5 multiple-choice questions (25 questions in total) which will be completed asynchronously and with the same deadline as the individual assignment.
Participants are also required to complete an individual assignment addressing the digital divide by developing a strategic policy proposal for an underserved region in their country or locality. Using AI as a research and planning assistant, they will apply prompt engineering to analyse and compare connectivity technologies (e.g., 5G FWA, LEO satellites, fiber optics), generate a structured policy outline, and adapt AI-driven insights to their specific geopolitical and economic context. The assignment ensures direct application of course skills to a tangible public policy challenge.
The deadline for submitting the individual assignment and the 5 session quizzes is September 04, 2026.
The grades will be distributed based on the following grading scale:
Grading Scale:
- Quizzes (5 quizzes - five session quizzes with a total of 25 questions) : 40%
- Individual Assignment: 40%
- Active Participation in Live Lectures: 20%
- Total: 100%
Certification Requirement:
- A minimum total score of 70% is required to obtain the ITU certificate.
Session 1: Strategic AI: The New Paradigm for Telecommunications (3 hours) - August 18, 2026 from 13:30 to 16:30 (CEST)
Topics Covered :
- Introduction to Generative AI and Large Language Models (LLMs).
- The impact of AI on the telecom sector: efficiency, predictive analysis, and new challenges.
- Case studies from international governments and regulatory agencies.
- Overview of major AI tools: features, risks, and data security.
- Presentation and guidance for the Individual Assignment
Learning Outcomes :
Describe the fundamental concepts of Generative AI and how it works.
Explain the strategic impact of AI on telecommunications regulation, security, and planning.
Identify the key opportunities and risks associated with using AI in the public sector.
Session 2: The Mind of the Model: Mastering the Language of AI (3 hours) - August 19, 2026 from 13:30 to 16:30 (CEST)
Topics Covered:
- The 5 pillars of an effective prompt: Task, Context, Persona, Format, and Examples.
- Zero-shot vs. Few-shot prompting techniques.
- How to avoid ambiguity and generic responses.
Learning Outcomes:
- Identify the essential components of a high-quality prompt.
- Construct effective prompts for information analysis and synthesis tasks.
- Differentiate between prompting approaches to refine the accuracy of responses.
Session 3: From Theory to Practice: Advanced Techniques & Initial Applications (3 hours) - August 21, 2026 from 13:30 to 16:30 (CEST)
Topics Covered:
- Advanced techniques: Chain-of-Thought for complex reasoning.
- Mastering Persona Prompts: How to instruct AI to act as specialists (engineer, lawyer, economist).
- Structuring outputs: Generating tables, JSON, and other structured data formats.
- Initial Application: Analyzing regulatory documents and technical opinions.
Learning Outcomes:
- Apply advanced prompting techniques to deconstruct and solve multifaceted problems.
- Structure prompts that compel the AI to generate outputs in specific, usable formats.
- Demonstrate the ability to use persona prompts to analyze a problem from multiple perspectives.
Session 4: AI in Action: Solving Infrastructure & Security Challenges (3 hours) - August 24, 2026 from 13:30 to 16:30 (CEST)
Topics Covered:
- Practical Case Study 1: 5G/6G spectrum analysis and planning.
- Practical Case Study 2: Simulating strategies for rural connectivity expansion.
- Practical Case Study 3: Analyzing cybersecurity threat reports and drafting security alerts.
- Practical Lab: Solving a complex telecommunications challenge in groups.
Learning Outcomes:
- Analyze technical datasets and sector reports using targeted prompts.
- Simulate complex scenarios to support decision-making in infrastructure and security policies.
- Draft technical documents and strategic communications with the assistance of AI.
Session 5: Governance & the Future: Implementing AI with Ethics & Strategic Vision (3 hours) - August 26, 2026 from 13:30 to 17:30 (CEST)
Topics Covered:
- Risks and limitations: Hallucinations, bias, privacy, and security of government data.
- The importance of human oversight: AI as an expert co-pilot.
- Developing guidelines for the ethical and safe use of AI in your institution.
Learning Outcomes:
- Evaluate the ethical, technical, and security risks in AI-generated outputs.
- Justify the importance of human validation in all AI-assisted processes.
- Formulate an action plan to integrate prompt engineering into their work routines safely and strategically.
Tutors
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.
