Overview

The Ethics & Bias in AI and Data Science program is designed to empower professionals, data scientists, and AI practitioners with the essential knowledge and skills to address the complex ethical challenges posed by modern technologies. This specialized artificial intelligence and data science training explores how to identify, mitigate, and prevent ethical risks and biases embedded in AI models and data-driven decision-making processes. The course covers a wide range of critical topics, including algorithmic bias, fairness in machine learning, accountability frameworks, data privacy, transparency, regulatory compliance, and ethical AI governance.

Participants will engage with real-world case studies and apply practical, hands-on methods to develop responsible and trustworthy AI systems. With a focus on artificial intelligence and data science engineering, this program emphasizes the importance of building systems that are not only technically sound but also ethically aligned and socially responsible. Ideal for those involved in AI development, analytics, or digital transformation, this course ensures a strong foundation in the ethical principles that underpin sustainable innovation in today’s data-driven world.