A practical 7-day course covering risk assessment, policy design, compliance, and monitoring — with hands-on labs daily
Sub Category
- Data Science
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Objectives
- Design and implement a complete AI governance framework for real-world organizations
- Conduct AI risk assessments and perform Algorithmic Impact Assessments (AIAs)
- Develop AI policies including acceptable use, lifecycle management, and approval workflows
- Establish AI governance structures such as committees, roles, and decision frameworks
- Apply responsible AI practices including bias detection, fairness evaluation, and model documentation
- Build systems for AI transparency, explainability, and human oversight
- Set up monitoring, auditing, and continuous compliance processes for AI systems
- Create a 30-60-90 day implementation roadmap to operationalize AI governance at scale
Pre Requisites
- No prior AI or machine learning experience required — this course is beginner-friendly
- Basic understanding of business processes or product workflows is helpful
- Familiarity with technology concepts (software, data, or digital systems) is beneficial but not mandatory
- Interest in AI, risk, compliance, or governance concepts
- Ability to think critically about decision-making, ethics, and risk management
- A laptop with internet access to complete hands-on labs and exercises
- Optional: Exposure to data, analytics, or product management will enhance learning but is not required
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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