Online Course – Certified Professional Internship in Responsible AI for Developers from Google Cloud Institute

Internship – Series of 3 courses

This specialization provides developers with the foundational knowledge and skills to build responsible AI systems by implementing best practices around fairness, clarity, transparency, privacy, and security.

During the courses, you will learn how to:

• Identify and reduce biases: Learn to identify and address potential biases in your machine learning models to avoid fairness issues.
• Apply techniques for clarifying information: Acquire practical techniques for interpreting sophisticated AI models and explaining their predictions using Google Cloud and open source tools.
• Prioritize privacy and security: Implement privacy-enhancing technologies like differential privacy and federated learning to protect sensitive data and build trust.
• Ensure the safety of generative AI: Understand and implement safety measures to mitigate risks associated with generative AI models.

At the end of this internship, you will have a broad understanding of responsible AI principles and practical skills to build ethical, trustworthy, and user-friendly AI systems.

Hands-on Learning Project

During the courses, you will carry out practical projects, including:

• Reducing biases using the TensorFlow Model Remediation library
• Probable AI techniques with Google Cloud Vertex AI
• Training privacy-preserving machine learning with DP-SGD
• Maintaining Generative AI Systems with Gemini