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3 Week Responsible AI & Governance Certification

Build ethical, compliant, and trustworthy AI systems with governance, audits, risk controls, and responsible AI practice

  1. Topics
  2. IT & Software
  3. Responsible AI Practices

3 Week Responsible AI & Governance Certification

InstructorSchool of AI
Duration6h 52m
Students1,333
Rating4.8 (3)
Sponsored
Price
$0.00
$14.99
Coupon
93/100 uses left
Last checked 11d ago
Access
Premium only
Upgrade to unlock this course deal

Coupon history

Comidoc has tracked 15 coupons for this course since 2026, last checked 3d ago. On average, a new coupon appears roughly every 8 days.

Coupon codeDiscountAddedStatusLifetime
PACKTFREE100% offOct 9, 202609:31 PM UTCFully redeemed2d 9h
SEPTFREE02100% offSep 2, 202603:34 AM UTCExpired~31 daysRan full term
SEPTFREE01100% offSep 2, 202603:30 AM UTCExpired~31 daysRan full term
SEPTFREE03100% offSep 2, 202603:14 AM UTCExpired~31 daysRan full term
AUGFREE02100% offAug 1, 202604:05 PM UTCExpired~31 daysRan full term
AUGFREE01100% offAug 1, 202604:05 PM UTCExpired30d 21h
Comidoc Analysis

Governance Frameworks and Regulatory Compliance via Weekly Labs

Strengths

Regulatory Framework Focus

The curriculum provides specific coverage of the NIST AI Risk Management Framework and the EU AI-based risk classification systems.

Applied Governance Labs

Weekly practical activities include an AI Risk & Bias Assessment, a governance framework design exercise, and an audit simulation.

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Fundamentals of Responsible Artificial Intelligence/MLVasco Patrício4.6 (2,172)22h 56m
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Limitations

Non-Technical Focus

The instruction is designed for non-technical backgrounds and does not include coding or software development training.

Best suited to

  • Compliance and risk professionals
  • Product managers in AI-powered industries
  • Business leaders adopting automated systems

Less suited to

  • Learners seeking technical coding or development skills

Comidoc Score

6.2/10

Worth considering
Defined audience

Comidoc verdict

The curriculum moves from the conceptual foundations of AI ethics and bias into specific regulatory frameworks, such as the NIST AI Risk Management Framework and the EU AI Act. It concludes with operational governance, including monitoring, incident response, and third-party vendor risk management.

The strength of this curriculum lies in its structured weekly labs that transition from theoretical risk assessment to practical audit simulations. This provides a hands-on approach to organizational accountability without requiring technical programming skills.

This training is best suited for professionals in compliance, legal, or product management roles who need to implement oversight structures and understand the regulatory landscape of modern AI systems.

Score breakdown

Curriculum depth
7.3

Coverage spans ethics, specific global regulations like the EU AI Act, and operational monitoring practices.

Applied learning
6.5

The curriculum includes three distinct weekly lab activities focused on risk assessment, framework design, and auditing.

Clarity & experience
5.0

No substantive sampled-review evidence was available to move teaching clarity away from a neutral assessment.

Currency & reliability
5.0

The available evidence does not establish enough about current reliability to move this dimension away from neutral.

Audience fit
6.5

The curriculum aligns with the stated goals of business, legal, and risk professionals through its focus on governance and regulatory frameworks.

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