AI Audit & Assurance Training Program

A five-course program covering the technology, risks, governance and testing of AI systems, and how an audit comes together from scope to conclusion. Self-paced online, with live support from BABL AI’s audit team.

Join the live-cohort starting October 16

Format

Self-paced online (occasional live-cohorts)

Recognition

Certificate of Completion; Tier 1, International Association of Algorithmic Auditors

Time

Self-paced (~ 5hr/week for 6 weeks)

Price

Training $2,500.

(training discounts available)

Neither traditional auditing nor governance training prepares you to audit AI systems.

An audit and assurance background provides a strong foundation in independence, professional conduct, evidence, controls, and reaching defensible conclusions. But auditing AI also requires understanding how AI systems work, the risks they create, and how they can affect people and organizations.

AI governance training typically focuses on how organizations oversee AI through policies, roles, controls, and processes. AI auditing goes further into the evaluation of specific systems: understanding the system and its context, assessing risks and impacts, examining evidence and controls, testing performance and behavior, and reaching defensible conclusions.

The AI Audit & Assurance Professional Training is designed to teach this combination of competencies, informed by the engagements our instructors carry out.

Is this for you?

Who it is for

Internal auditors, AI governance and responsible AI professionals, risk and compliance professionals, legal professionals working with AI, and anyone preparing for a career in AI audit and assurance. No prior technical or audit background is required.

What you get

The training prepares you to audit and assure AI systems: how to scope a system’s risks, judge its governance, understand the technology, read the testing, and stand behind a conclusion.

One honest note: this is the start of the journey, not the whole of it. It gives you the foundation to contribute to an audit team under supervision and a strong base for governance and responsible-AI roles. It is not a substitute for hands-on experience, needed to audit independently.

Five courses, five capabilities.

The program is built around five core courses, taken in order, followed by a final capstone project.

AI & Machine Learning

Understand well enough how AI and ML systems work to ask the right questions and evaluate the evidence.

Algorithmic Risk & Impact Assessments

Identify a system’s risks and impacts, prioritize what matters, and determine where more evaluation is needed.

AI Testing & Evaluation

Understand, interpret, and challenge the metrics, methods and evidence behind AI testing.

AI Governance & Risk Management

Evaluate whether an organization’s AI governance, risk management, roles, and controls are appropriate and effective.

AI Auditing & Assurance

Plan and conduct an AI audit, evaluate evidence, and develop a defensible assurance conclusion.

FINISH

Capstone Project

You finish with a hands-on capstone project that applies the five courses to a realistic system.

Two ways to take the program

Live cohort

Starts 16 October 2026.

Work through the program with a group, on a shared schedule, with live sessions led by BABL AI’s auditors. Best if you want structure, deadlines and people to learn alongside.

Schedule

Kick-Off: 16th October 11am ET / 5pm CET

Weekly Live Teaching: Tuesdays 10:30am ET / 4:30pm CET, starting 20th October, 5 weeks

Places

Limited to 30

Join the October cohort

Self-paced

Start any time.

Work through the courses on your own schedule, with weekly live office hours and the learner community for support. Best if your calendar is unpredictable or you want to move faster or slower than a cohort.

Access

12 months

Apply for self-paced enrollment

What’s included:

All five core courses

The final capstone project

Weekly live office hours with BABL AI’s auditors

A private Slack community of learners and graduates

A certificate of completion

Access period of12 months

Live teaching sessions (live-cohort only)

From sign-up to your first course.

Apply.

A short form about your background and goals. It takes about 5 minutes.

Hear from us.

We confirm your place within 5 business days.

Enroll and pay.

Complete enrollment on our learning platform. $2,500, payable by (card / invoice for organizations).

(contact us for available discounts)

Start learning.

You get immediate access to the courses, an invitation to the Slack community, and the office hours calendar.

Note: All content launches on 16 October.

Enrolling a team? Contact us about group pricing.

You are learning the craft from the people who practice it.

Dr. Shea Brown

Founder, BABL AI

Your instructors are working auditors, led by BABL AI founder Dr. Shea Brown. Shea has testified and advised on AI regulation across the US and the EU. He is a Fellow and Board Member at ForHumanity, a non-profit working to set standards for algorithm auditing and organizational governance of artificial intelligence.

He is also a founding member of the International Association of Algorithmic Auditors, a community of practice that aims to advance and organize the algorithmic auditing profession.

Shea holds a PhD in Astrophysics from the University of Minnesota and was a faculty member in the Department of Physics & Astronomy at the University of Iowa, where he was recognized for his teaching excellence by the College of Liberal Arts & Sciences.

Don’t take our word for it.
Hear from our graduates.

While learning, I was impressed by its well-structured design, practical content, and accessible resources. Whether you’re navigating your AI career or pursuing self-education for AI literacy, I highly recommend you enjoy the learning journey. You’ll gain not only AI knowledge and insights but also invaluable advice, confidence, and professional support from the community. The program’s comprehensive approach and engaging materials make it a standout choice for anyone looking to deepen their understanding of AI.

Kelvin LouTech lawyer, Executive Director of OneCompliance Consulting

What I particularly appreciated about this program was its ability to strengthen my understanding in areas where my knowledge was previously relatively limited. The content was not only thoroughly well-balanced, covering both foundational and advanced topics, but also very engaging and interesting. The unique nature of the program really stood out; despite my extensive search for similar courses, none matched the depth and relevance in risk management offered here.

Tony HibbertAI Governance Expert, ING Bank

Throughout the course, I gleaned a framework for the science, laws and critical thinking behind AI auditing. Dr. Shea Brown and his team provided an excellent balance of theoretical knowledge and practical applications so that I could feel confident in working with a team to identify, analyze and test risks of the systems all around us… BABL AI created a welcoming environment for people regardless of professional background. I felt confident in scaling my knowledge and skills without a science background and also in my lived experience being respected as part of the auditing process.

Luna Olavarria GallegosResponsible AI, Nubank

The BABL AI & Algorithm Auditor Certification program stands out in the responsible AI field for its practical, community-driven approach. Dr. Brown is an exceptional mentor whose emphasis on first-principles thinking helped me break down complex theoretical and technical concepts into accessible, actionable insights. As someone new to the field, the bi-weekly Q&A sessions were invaluable—providing me the chance to interact with peers and learn from their diverse experiences in a supportive environment. Most importantly, the program transformed me into a confident responsible AI practitioner. I now have the skills to identify AI system risks, audit algorithms, conduct assurance engagements, and guide organizations through AI governance challenges.

Edward FeldmanManager, Target

Following through with BABL’s “AI and Algorithm Auditor Certificate Program” has been a great decision and learning experience. I am yet to find another program that puts so much emphasis on a holistic approach for AI Auditing, aiming to connect the dots between areas like bias testing or AI governance. At the same time, the hands-on assignments incentivize one to thoroughly grasp the theoretical content and to apply it to one’s own professional context. Paired with Dr. Shea Brown’s gift for conveying knowledge in an engaging way, the kind support of the BABL team and the welcoming learning community, I recommend this program to technical and non-technical professionals alike who want to dive deeper into AI Auditing.

Nadine DammaschkAI Governance Advisor, GIZ

In today’s AI-driven world, where algorithms are quietly influencing everything from credit decisions to healthcare, being a passive observer is no longer enough. That’s why I chose to embark on the AI and Algorithm Auditor Certification with BABL AI—and it has been a game-changer. It was an eye-opening, mind-expanding experience that equipped me with practical tools to assess, audit, and advocate for responsible AI. From uncovering hidden biases to designing risk mitigation strategies, I now have the confidence to engage with organizations and help them embed fairness, transparency, and accountability deep into their AI systems.

Asim ButtAI Ethics and Risk Auditor

Thanks to the rigorous program at BABL AI, I am now equipped with the expertise to consult companies and governments on responsible AI. I can guide organizations in building AI products that prioritize fairness, transparency, and explainability. Additionally, I can assist in sourcing AI products that adhere to responsible AI principles, educate customers about the risks associated with generative and discriminative AI, develop responsible AI governance capabilities, and collaborate with governments to implement responsible AI initiatives. My journey with BABL AI has been a remarkable one.

Abhinav MittalAI Governance Advisor

I have done many training programs in the field of AI Ethics and AI Assessments and/or Audits and I can say that the AI and Algorithm Auditor Certificate Program from BABL AI is definitely one of the best on the market. Prof. Shea Brown does an excellent job both as Instructor and Mentor. Shea and the BABL AI team were always kind and helpful. We did a cohort based training as the first movers, I must admit that the cohort was amazing and made the training a great journey but it is also suitable for individuals who can do it on their own, adjusting their pace with their other responsibilities.

Mert CuhadaroğluTraining Programs Manager, BABL AI

FAQ Training

Will I be able to audit AI systems on my own after taking the course?

Earning the Certified AI Audit & Assurance Professional credential demonstrates that you have met BABL AI’s certification requirements for knowledge and skills. However, earning the credential does not mean you are automatically prepared to independently lead every type of AI audit.

Conducting an AI audit requires professional judgment and practical experience. Some engagements may also require specialized technical, legal, regulatory, or industry expertise. The necessary level of experience and expertise depends on the scope and complexity of the audit.

This certification provides a strong foundation and certifies that you can participate as a team-member in an audit team for a system-level attestation style audit. Other scopes (lead auditor or a direct testing engagement) are not certified through the credential.

Are there any discounts available for the training program?

BABL AI may offer discounts on select training courses and programs for eligible groups or during promotional periods. The available discounts, eligibility requirements, and promotional offers may change over time. Please check the relevant program page or contact us for the most current pricing and available discounts. We also encourage organizations enrolling multiple team members to contact us to discuss group enrollment or custom training options.

How long does it take to complete the training program?

The AI Audit & Assurance Professional training program is self-paced. The time it takes to complete the program depends on your background and experience, as well as how much time you dedicate to the material each week.

The program consists of five core courses that cover AI and machine learning; algorithmic risk and impact assessments; AI governance and risk management; AI testing and evaluation; and algorithm auditing and assurance.

Since you can work through the training on your schedule, you can complete it more intensively or spread your learning out over a longer period to accommodate your professional commitments.