Algorithms, AI & Machine Learning

What you’ll learn

This is a technical crash course in Automated Decision (Augmentation) Systems with a focus on bringing non-technical consultants, risk, and policy professionals up to speed on these emerging technologies. The goal is to gain a sufficient understanding of modern techniques to perform risk analysis and governance.

This is part of a larger series of courses by The Algorithmic Bias Lab, the research and education division of BABL AI. The lab conducts research and training in algorithmic auditing and the responsible production and governance of artificial intelligence. You can find sample lectures from previous training sessions on our Youtube channel.

What you’ll learn

People working on the ethics and governance of AI and emerging technologies, or those looking to transition into the field

People that need to interface between technical teams and executives or senior management

People who lack a deep technical background in algorithms, AI, and machine learning

Develop a roadmap for acquiring expertise that can lead to the ability to bring value to clients and humanity in the field of AI Ethics and Governance

People that feel like a deeper understanding of these technologies is needed to further their career

What can you do after taking this course?

List and understand the most common techniques used in AI and machine learning
Understand the methods, data, and resources needed to create machine learning and statistical models for automated decision systems (ADMs)
Identify critical value judgments that must be made in the development of ADMs
Communicate effectively and confidently with development teams and executive decision makers
Use Python to create basic algorithms without fear

What will you be doing?

30 lectures (asynchronous)
4 synchronous Q&A sessions with the instructor
26 short quizzes
4 coding projects (in Python)
10-15 hours of effort per week for approximately 12 weeks
Dedicated Slack workspace for student collaboration/networking
Certificate of completion is provided with 70% or greater score

This course is part of a 5-course certification program for AI and Algorithm Auditors. Anyone can take the course and get a certification.

About the Instructor

Shea Brown is the founder and CEO of BABL AI, a research consultancy that focuses on the ethical use and development of artificial intelligence. His research addresses algorithm auditing and bias in machine learning, and he serves as a ForHumanity Fellow that sets standards for the organizational governance of artificial intelligence.

He has a PhD in Astrophysics from the University of Minnesota and is currently an Associate Professor of Instruction in the Department of Physics & Astronomy at the University of Iowa, where he has been recognized for his teaching excellence from the College of Liberal Arts & Sciences.

Curriculum

1: Introduction & Overview

Welcome to the course! (13:12)

The state of algorithmic risk (8:36)

Demarcating the sociotechnical system (8:59)

Course Resources

2: Conceptual Overview

General taxonomy (14:28)

Methods (22:03)

Model - Inference - Learning paradigm

Intelligent Agents (17:34)

Written Exercise #1

3: Classic Algorithms

Data Structures (26:21)

Basic Statements (15:46)

Functions (10:17)

ENROLL NOW

Don’t just take our word for it

Here’s what our graduates have to say…

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 Hibbert – AI 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

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 Lou – Tech lawyer, Executive Director of OneCompliance Consulting

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 Feldman – Manager at 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 Dammaschk – AI Governance Advisor at 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 Butt – AI Ethics/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

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

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