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BCS Foundation Certificate in Artificial Intelligence — Requirements & Free Practice

US · License preparation

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BCS Foundation Certificate in Artificial Intelligence

Licensing authority: BCS, The Chartered Institute for IT · Application information

Initial by examination
BCS Foundation Certificate in Artificial Intelligence
Accommodations
BCS permits reasonable adjustments, including additional time for eligible special considerations; request through the official policy.
Availability
Current official materials and targeted retirement searches disclose no applicable cessation date; no specific future seat inventory or guarantee is asserted. Assessment cutoffs considered: 2027-01-28 inclusive and explicit retirement before 2027-03-01 exclusion.
Booking
Pearson candidates create an account or log in, choose an available appointment and provide their individual email correctly. Test-centre and OnVUE options remain subject to provider availability and online-testing requirements. No account was created and no seat was reserved.
Delivery
One English v2.0 examination; supervised, online, closed book. Access is restricted to the registered date and time. BCS direct booking is by telephone; the certification page also links Pearson VUE.
Eligibility
No mandatory prior certification or training; instructor-led preparation or self-study is available. Prior Essentials/Pathway learning is advantageous only.
Scope
Only the standalone certificate is included. Optional earlier learning adds no prerequisite examination leaf or additional production.

BCS Foundation Certificate in Artificial Intelligence

Provider
BCS; Pearson VUE delivery is offered by the linked BCS booking guidance.
Format
Supervised online closed-book single-mark multiple-choice assessment.
Exam questions
Total questions: 40.
Time limit
60 minutes; reasonable adjustments may apply.
Passing score
65% (26/40)
Examination outline
  • AI origins (15%)
    • Terminology
    • Historical milestones
    • AI categories
    • Societal effects
    • Environmental measures
  • Ethics and law (15%)
    • Ethical concerns
    • Guiding principles
    • Ethical strategies
    • Regulatory role
    • Risk management
  • AI enablers (15%)
    • Everyday applications
    • Robotics
    • Machine learning
    • Learning concepts
    • Learning approaches
  • AI data (20%)
    • Data terminology
    • Data quality
    • Handling risks
    • Large datasets
    • Visualisation
    • Generative terminology
    • Generative applications
    • Training workflow
  • Organisational implementation (20%)
    • Identifying opportunities
    • Business case
    • Stakeholder analysis
    • Project approaches
    • Solution appraisal
    • Ongoing governance
  • Human-machine futures (15%)
    • Career opportunities
    • Sector applications
    • Societal futures
    • Consciousness
Examination sources