Level I / Foundation
AI Foundations
Basic computer and document skills. No previous AI knowledge or programming experience is required.
Duration and participation
- Learning time
- 8 teaching periods / 6 clock hours
- Course days
- 1
- Maximum group size
- 12 participants
- Price
- Individual quotation
This course includes 8 teaching periods of 45 minutes, equivalent to 6 clock hours of learning. Standard delivery takes 1 day. Each day includes 8 teaching periods (6 hours of learning) and a total of 1 hour of breaks.
An example day runs from 09:00 to 16:00. This schedule requires 7 hours of attendance in total, including 6 hours of learning and 1 hour of breaks. Practice and competency assessment are included in the learning time. Dates, start times and any shorter-session schedule are agreed before enrolment.
Delivery can be live online or in person, subject to agreed location and arrangements. Larger teams are divided into separate groups of up to 12 participants. Technical and organisational requirements are provided before you confirm attendance.
A proposal shaped around your needs
We prepare an individual proposal based on your training objectives, participants’ experience and delivery format. We discuss the scope and commercial terms before you confirm participation. Your proposal sets out the programme, delivery arrangements and total cost.
Discuss your training needsAfter this level, you can
- Select a suitable class of tool and give clear instructions.
- Recognise limitations and check essential information.
- Identify disclosure risks and decisions requiring human oversight.
Competency scope
- Artificial intelligence and machine learning: learning patterns from data. Generative AI creates content; large language models (LLMs) process and generate language.
- Language and multimodal systems working with text, images or audio: how outputs are produced, capabilities and limitations.
- Conversation context and tokens, the units used to process content. Clear instructions, objectives, constraints and staged tasks.
- Fabricated or incorrect answers, often called hallucinations, and model bias. Checking important information against independent sources.
- Confidentiality, data protection and tool access. Human approval of outputs.
- Organisational responsibilities and the foundations of EU rules relevant to AI use.
Competency assessment
A knowledge test and a short practical task, with documented output checks and information safeguards.
Credential after successful assessment
ProSentinel — Certified AI User — Foundation
NEXT RECOMMENDED COMPETENCY
A recommendation suggests a development direction. It does not waive the destination programme’s entry requirements.
