Responsible AI
First 2027 scholarship call
Responsible AI & Assurance
Build trustworthy AI systems through evaluation, privacy, security, fairness and meaningful human oversight, and prove it with a case file someone else can review.
Developed under the new AI Act model · Continuous updates
Edition 2026
200 hours of applied learning
8 academic credits
25 lessons + 6 workshops
Digital campus
Verifiable certificate
550 USD one payment · or 2 × 275 USD (today and after 30 days)
What you'll learn
- Identify failure modes and technical and human risks of an AI system.
- Carry out an impact assessment, including a fundamental-rights one, and classify the risk tier.
- Design evaluation evidence with metrics, thresholds and fairness tests.
- Plan a red-teaming exercise and apply privacy and security controls.
- Design human oversight, monitoring, incident response and documentation.
- Build and defend an assurance case file aligned with the frameworks in force as of October 2026.
- Apply the IntellCore AI Act Method™: classify the risk of an AI use case in your field and document it under the AI Act 2026.
Program curriculum
01 — Risk: failure modes, impact and tiers
- What AI is and how responsible AI emerged
- Failure modes of AI systems
- Impact assessment: FRIA, DPIA and ISO/IEC 42005
- Risk tiers: classifying a use case
- Inventory, roles and risk appetite
02 — Evaluation evidence
- Assurance: claims, arguments and evidence
- Metrics, thresholds and test sets
- Fairness: measure, compare and decide
- Evaluating language-model systems
03 — Red teaming, security and privacy
- Red teaming: scope, rules and logging
- Threats to AI systems: OWASP and MITRE ATLAS
- Privacy in AI systems
- Technical controls and regression tests
04 — Human oversight and governance
- Designing human oversight
- Transparency and explanations for affected people
- Suppliers and the AI supply chain
- Governance: ISO/IEC 42001, committee and literacy
05 — Operations: monitoring, incidents and documentation
- Monitoring and drift
- AI incident response
- Technical documentation and logs
- Change, reassessment and retirement
06 — Global frameworks and the assurance case file
- Global map of frameworks as of October 2026
- Audit, certification and third-party assurance
- Building the assurance case file
- Structured review and defence of the file
07 — IntellCore AI Act Method™ applied to your field
- The EU AI Act 2026: risk levels, prohibited practices and obligations
- Transparency, human oversight and documentation in your professional field
- Classifying and auditing a real AI use case step by step
- Your compliance file with the IntellCore AI Act Method™: from system records to the review plan
Practical application
- · Final project: an AI assurance case file for a real use case, with impact assessment, evaluation evidence, red-teaming report, human-oversight design, monitoring and incident plan, and a signed decision.
Practical project: Final project: an AI assurance case file for a real use case, with impact assessment, evaluation evidence, red-teaming report, human-oversight design, monitoring and incident plan, and a signed decision.
Who is this for?
- · AI product teams
- · Risk, compliance and internal audit professionals
- · Data protection officers and security leads
- · Business owners who sign off an AI system
Requirements
- · No programming required
- · Basic spreadsheet skills
- · Familiarity with the life cycle of a digital project helps
Meet your instructor
Responsible AI & Assurance
Chair, Responsible AI & Assurance
Evaluation, prompt injection and data-leak vectors, privacy by design and EU AI Act risk tiers.
Teaches: Responsible AI & Assurance
Edition 2026
What each week includes
Every week of the program follows the same structure.
- 01
Explainer video per lesson
- 02
Guided reading (6 h)
- 03
IntellCore Labs · ~90 min workshop with data
- 04
Verified real case
- 05
IntellCore Podcast
- 06
IntellCore Radar
- 07
Self-assessment
- 08
Practice and exam (70%, 3 attempts)
- 09
Extended practice (5 h)
- 10
IntellCore AI Act Method™ module applied to your field (30 h)
- 11
Applied final project (30 h)
- 12
6 modules × 23 h + IntellCore AI Act Method™ module 30 h + final assessment 2 h + final project 30 h = 200 h
- 13
Downloadable PDF summary
Verifiable certificate
200 hours · 8 academic credits
Unique verifiable code at intellcore.ai/verify
Student reviews
Reviews are published from verified students only, after the first cohort completes the program. We do not publish testimonials we cannot attribute.
