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Responsible AI
Responsible AI & Assurance
Build trustworthy AI systems through evaluation, privacy, security, fairness and accountable human oversight.
Level
Intermediate
Duration
5 weeks
Lessons
18
Price
Price on request
What you'll learn
- Identify technical and human risks.
- Design evaluation and control evidence.
- Apply privacy, security and fairness checks.
Course curriculum
01 — Risk
- Failure modes
- Impact assessment
- Risk tiers
02 — Assurance
- Evaluation evidence
- Red teaming
- Human oversight
03 — Operations
- Monitoring
- Incident response
- Documentation
Practical application
- · Create an assurance case.
- · Run a structured AI risk review.
Practical project: An AI assurance case for a real use case
Who is this for?
- · AI product teams
- · Risk and compliance professionals
Requirements
- · No programming required
Meet your instructor
Responsible AI & Assurance
Instructor to be announced
Evaluation, prompt injection and data-leak vectors, privacy by design and EU AI Act risk tiers.
The verified name, biography, professional experience and public profile for this chair are published once confirmed. INTELLCOREAI does not present unverified profiles as faculty.
Student reviews
Reviews are published from verified students only, after the first cohort completes the program. We do not publish testimonials we cannot attribute.
