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Programme

AI Foundations for Working Professionals

An introductory umbrella for professionals in any field who are starting to use AI at work. Six foundation courses cover what AI is and is not, working with the common assistants, prompting in practice, evaluating output, ethics and risk, and AI in the Albanian language. Six further short courses cover the compliance obligations that fall on organisations deploying AI.

Courses
12
Estimated study time
72 hours
Assessment
Learning only. Completion is not a qualification.

Study time is a planning estimate, not a measurement with participants. The courses listed below carry their own estimates; they add up to 93 hours.

Who it is for

Working professionals in any field who are beginning to use AI tools, and staff in organisations that are starting to deploy them.

What it develops

On completing the programme you can describe what current AI tools do and do not do; use the common assistants for ordinary professional tasks; write prompts that produce checkable output; evaluate that output rather than trusting it; recognise the ethical and legal risks of using it at work; and work with it in Albanian.

Courses and sequence

  1. 01

    Training

    AI foundations: Getting started

    What AI is, what it is not, and how to think about language models without mystification. Six foundation sessions for any working professional who wants practical AI knowledge.

    Estimated study time: 12 hours

    Can be requested independently

  2. 02

    Training

    AI foundations: Working with ChatGPT, Claude and Gemini

    Comparative tool literacy: which AI assistant for which task, and why, based on how each one actually behaves rather than on marketing.

    Estimated study time: 9 hours

    Can be requested independently

  3. 03

    Training

    AI foundations: Prompting in practice

    Prompt structure, role prompting, structured output, iteration. Six practical sessions that change the way you write with AI.

    Estimated study time: 12 hours

    Can be requested independently

  4. 04

    Training

    AI foundations: Evaluating AI output

    How to judge whether an AI output is good. The evaluation mindset, criteria, and the habit of a second review. A bridge session towards professional evaluation work.

    Estimated study time: 9 hours

    Can be requested independently

  5. 05

    Training

    AI foundations: Ethics and risk

    Fabricated answers, confidentiality, source verification, bias. Six sessions on the real risks of AI in professional work and how to manage them.

    Estimated study time: 9 hours

    Can be requested independently

  6. 06

    Training

    AI foundations: AI and the Albanian language

    What works, what breaks, and how to compensate. Six sessions on how AI behaves with Albanian: dialect, code-switching and technical terminology.

    Estimated study time: 12 hours

    Can be requested independently

  7. 07

    Microcourse

    Compliance: Article 4 of the EU AI Act

    What Article 4 of the EU AI Act asks of employers and employees: the AI literacy duty, who is covered, and what an organisation has to be able to show.

    Estimated study time: 5 hours

    Can be requested independently

  8. 08

    Microcourse

    Compliance: Your AI inventory

    Build your own register of the AI tools used at work: which tools, for what, with what data, and a simple classification by risk and data sensitivity.

    Estimated study time: 5 hours

    Can be requested independently

  9. 09

    Microcourse

    Compliance: The core risks

    Three risks covered in this course in the Albanian workplace: invented facts, personal data in public tools and decisions without human oversight.

    Estimated study time: 5 hours

    Can be requested independently

  10. 10

    Microcourse

    Compliance: GDPR and Law 124/2024

    What Law 124/2024 on personal data protection, alongside the GDPR, requires when an AI tool processes personal data: legal basis, information duties and limits.

    Estimated study time: 5 hours

    Can be requested independently

  11. 11

    Microcourse

    Compliance: Human oversight

    When and how an AI output is overridden, when human oversight is required, and what is documented to show that a person made the decision.

    Estimated study time: 5 hours

    Can be requested independently

  12. 12

    Microcourse

    Compliance: Documentation

    The audit trail an employee and an employer keep for Article 4: what is retained, for how long, and how it is shown during a check.

    Estimated study time: 5 hours

    Can be requested independently