Ethics in GenAI for Software Engineering Training

Beginner Level
4 hours to complete
Flexible Schedule

Priyanka Mehta

What You’ll Learn

Understand key ethical frameworks for responsible AI development

Identify and mitigate bias in AI-generated software code

Navigate legal considerations like data privacy, transparency, and licensing

Apply real-world case studies to build compliant and trustworthy GenAI systems

Skills You’ll Gain

Data Governance Information Privacy Data Ethics Ethical Standards And Conduct Risk Management Framework AI literacy Personally Identifiable Information Law, Regulation, and Compliance AI Security Responsible AI General Data Protection Regulation (GDPR) Continuous Monitoring Diversity Awareness

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile.

Develop Your Specialized Knowledge

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

There are 2 modules in this course

Explore the foundations of ethics and bias in Generative AI for software engineering. Learn key ethical frameworks, identify types of bias in AI-generated code, and understand their impact on software development. Discover strategies to mitigate bias through real-world case studies, including racial bias in facial recognition and data privacy breaches. Gain the skills to build fair, responsible, and trustworthy AI-powered software systems.

Understand the legal implications and best practices for using Generative AI in software engineering. This module covers key ethical and legal considerations including AI transparency, data privacy, licensing, and compliance. Learn how to ensure explainability, preserve user privacy, and maintain continuous monitoring. Explore real-world examples and adopt best practices to build legally compliant, ethical AI systems.