4. Certification & Micro-Credentials (ICEP)

4.1 Certification Pathway

What is the certification?

The DUAL.AI.TEACHer certification pathway provides teachers with a structured way to demonstrate their competences in two complementary areas: AI-Enhanced Teaching and AI Literacy. Teachers may pursue either one certification track or both, depending on their prior knowledge, professional role, and development needs.

The certification pathway combines self-assessment, learning and preparation activities, formal assessment, and digital certification.

Choose your track

The DUAL.AI.TEACHer certification consists of two complementary tracks:

Participants may pursue either one track or both tracks of certification, depending on their prior knowledge, professional role, and development needs.

A preliminary self-assessment will help candidates identify the most appropriate pathway.

How does the certification work?

The certification process follows a common sequence for both tracks:

  1. The teacher discovers the DUAL.AI.TEACHer certification.
  2. The candidate registers on the ICEP platform.
  3. The candidate completes a preliminary self-assessment and selects Track A or Track B.
  4. The candidate learns and prepares using the provided content, including the collection of badges in the MOOC.
  5. The candidate books an exam slot.
  6. The candidate attempts the exam.
  7. Upon successful completion, the digital certificate is issued.
  8. The certificate may be shared through Europass, where third-party institutions can check its validity.
  9. The certificate expires after five years.

Registration, self-assessment and track selection.pngFigure 1: Registration, Self-Assessment and Certification Pathway Selection Process

Learning and preparation

After selecting a certification track, candidates enter the learning and preparation phase. They use the provided learning content and may collect badges through the MOOC as part of their preparation for the certification assessment.

The preparation process includes access to learning materials, support activities, self-assessment, practical assignments, and progress tracking. The candidate can continue learning, repeat activities where needed, or proceed towards the certification assessment once sufficiently prepared.

Learning activities.pngFigure 2: Learning and Preparation Process

Assessment and certification

The certification assessment is delivered through an online examination for each certification track.

The planned assessment format includes:

Candidates complete the assessment for the selected track after the preparation phase and readiness self-assessment. Successful completion of the examination leads to the issuance of the corresponding certificate.

The assessment may include the following question types:

These selected-response formats are intended to support objective, consistent, and scalable assessment, while enabling efficient automated scoring.

Issuing certificate.pngFigure 3: Examination and Certification Process between the Candidate and ICEP

Which track is right for me?

The two certification tracks address different professional needs and interests.

Track A – AI-Enhanced Teaching (WITH AI) is intended for teachers who want to use AI in teaching and learning in a pedagogically meaningful, safe, and professionally responsible way. In the Certification Pathway Design, this is illustrated through Maja Novak, a secondary school teacher who already experiments with generative AI for lesson preparation, differentiated materials, classroom activities, and formative feedback. Her main goal is to move from experimental use of AI towards more informed and reflective professional practice.

Dual.AI.TEACHer Certification Pathway - Track A.pngFigure 4: Candidate Journey – Track A: AI-Enhanced Teaching

Track B – AI Literacy (ABOUT AI) is intended for teachers who want to strengthen their own and their learners’ understanding of AI concepts, limitations, risks, and responsible use. This is illustrated through Luka Horvat, an upper-secondary teacher who wants to help students become critical, informed, and responsible users of AI, with particular attention to issues such as misinformation, bias, privacy, transparency, data use, human agency, and the social impact of AI.

Dual.AI.TEACHer Certification Pathway - Track B.png

Figure 5: Candidate Journey – Track B: AI Literacy

Candidates may pursue either one track or both tracks, depending on their prior knowledge, professional role, and development needs. A preliminary self-assessment supports the selection of the most appropriate pathway.

Credentialing and Recognition

Upon successful completion of the assessment, candidates receive a digital certificate for the completed certification track.

The certification model includes:

The certification is intended to support the recognition of teachers’ AI-related competencies and their continuing professional development. It is also intended to support the recognition and portability of these competences across European contexts.

More Information

Further details on the certification structure, candidate journey, assessment criteria, examination procedure, roles and responsibilities, pilot validation, and sustainability are provided in the full DUAL.AI.TEACHer Certification Pathway Design document.

4.2 Micro-Credentials (ICEP)

The Micro-Credentials

Micro credentials are short, focused qualifications that certify specific learning outcomes and skills axquired through brief training or courses. 

Characteristics: 
Key benefits:
  • Flexibility - Allows fast upskilling or retraining without long-term financial commitments.
  • Employability - Provides employers with transparent, easily verifiable proof of practical competencies.
  • Stackability - Can often be combined or "stacked" over time to count toward larger qualifications or degrees

The Micro-Credentials & Certification Architecture

The certification strategy in DUAL.AI.TEACHer establishes a formal, European-wide mechanism for validating teachers' AI competencies.

Dual Certification Pathways:

  1. Pathway A - AI-Enhanced Pedagogy: Validates competence in using AI tools for lesson design, adaptive instruction, automated assessment, and workflow optimization.

  2. Pathway B - AI Literacy & Civic Education: Validates competence in teaching students computational thinking, algorithmic bias, data privacy, and ethical AI citizenship.

Structural Framework & Alignment:

Technical Architecture & Credentialing Process: