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Programme
AI Tools at Work: Generative AI, Agents and Orchestration
A programme on using AI assistants, agents and automated workflows at work, without depending on one product. Start with the Getting Unstuck method. Practise requests, response checks, permissions, action logs and human review before sending.
- Courses
- 14
- Estimated study time
- 67 hours
- Assessment
- Learning only. Completion is not a qualification.
Study time is an estimate for planning; it has not been measured with participants.
Who it is for and what you take away
Who it is for
Working professionals in any field who use, or are about to use, chat assistants, agents or automation flows on a company computer, in Albanian or in English.
What you take away
You can structure requests and check responses; recognise fabricated information and data boundaries; disclose AI assistance; use limited permissions for agents; read action logs; undo actions where possible; and put a human review in place before anything is sent.
- A practical task at the end of every course, which you do yourself and keep as evidence of your work.
- Your completion of each course, recorded in your account on the learning platform.
Courses and sequence
- 01
The four-part request
Role, context, limits, output form: a structured request that gets you an answer you can check the first time, with any tool. - 02
Checking an AI output
Facts, tone, policy: three ten-second checks, mechanical, after every output, that keep you safe when you are tired. - 03
Fabrication: The four kinds and how to catch them
Numbers, citations, authorship, dates: the four fabrication types, the three early signs, and the ninety-second citation check. - 04
What you may paste: Data levels and the law
Four data levels, the data protection rules, a ten-second test before every paste, and what you do when the data have already gone out. - 05
Disclosing AI assistance
One line that says an assistant helped, where it goes, the record that backs it, and how it becomes a team habit. - 06
Agents: Installing one and finding the stop button
An agent acts, it does not only write. Before it acts on your laptop: the source, the dialog, the first run in a safe place, and the stop button. - 07
Agents: Permissions and scopes
A scope is a sentence: who, what, where, how long. Least privilege, the permission screen, keys and tokens, and revoking as a habit. - 08
Agents: What an agent may touch
The scope says what it may do; the boundary says where. The allow list, the test copy, the data levels for agents, and the dry run before any real run. - 09
Agents: Reading the action log
The output tells you what the agent produced; the log tells you what it did. The ten-minute review after every run, the three signals, and what a missing log means. - 10
Agents: Undoing an action
Nobody can undo a read, a write reverts with a previous version, a send cannot be unsent, and a run depends on what it did. The copy before the run, the rollback after it, and the incident when there is no undo. - 11
Trigger, action and connector
A flow is a trigger, some actions and the connectors between them. Before any tool builds it, you draw it on paper and read it part by part. - 12
Credential, retry and log
A flow fails at three in the morning. The credential that expired, the retry that sent five times, the log that did not exist. Three decisions before the flow is switched on. - 13
The human check before anything is sent
Before every send and every run, a person decides. The course covers where the check sits, what the person sees on the screen, how much time they get and what happens when nobody answers. - 14
A flow broken five ways
One flow, five breakages, one method: from the symptom to the part. A trigger that does not fire, wrong connector permission, expired credential, a loop running twice, output to the wrong place.
Assessment and qualification
The learning checks inside the courses are formative: they help you learn and qualify no one.
Completing the programme is not a qualification, a professional licence or an accreditation.
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