Responsible AI for Developers: Privacy & Safety Training

Live Online & Classroom Enterprise Training

Learn how to design, build, and deploy AI systems that protect user privacy, ensure data security, and minimize harm while meeting ethical and regulatory requirements.

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CloudLabs
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Real-time code analysis and feedback

What is Responsible AI for Developers: Privacy & Safety Course about?

This course provides developers with practical knowledge of Responsible AI principles focused on privacy, safety, and risk mitigation. Learners will explore how to handle sensitive data, implement safety guardrails, reduce bias, and ensure AI systems operate reliably and ethically. The course also covers global compliance frameworks and real-world implementation strategies for secure AI development.

What are the objectives of Responsible AI for Developers: Privacy & Safety Course ?

Understand core Responsible AI privacy and safety principles
Implement privacy-preserving data handling techniques
Identify and mitigate AI safety and misuse risks
Apply secure AI development and deployment practices
Align AI solutions with regulatory and compliance standards

Who is Responsible AI for Developers: Privacy & Safety Course for?

AI / ML Developers
Software Engineers working with AI systems
Data Scientists building AI models
Cloud AI Engineers
Technical Architects designing AI solutions

What are the prerequisites for Responsible AI for Developers: Privacy & Safety Course?

Prerequisite:

Basic understanding of AI / Machine Learning concepts
Programming experience (Python preferred)
Basic knowledge of data security fundamentals
Familiarity with cloud or software development lifecycle
Understanding of APIs and data handling concepts

Learning Path:

Introduction to Responsible AI Foundations
Privacy in AI Systems and Data Protection Techniques
AI Safety, Risk Management, and Threat Modeling
Secure AI Development and Deployment Practices
Compliance, Governance, and Monitoring for AI Systems

Related Courses:

Responsible AI Fundamentals
Secure Machine Learning Operations (MLOps Security)
AI Governance and Compliance Essentials
Data Privacy and Protection in Cloud Environments

Available Training Modes

Live Online Training

1 Days

Course Outline Expand All

Expand All

Module 1: AI Privacy

Overview of AI Privacy

Privacy in Training Data: De‑identification techniques

Privacy in Training Data: Randomization techniques

Privacy in Machine Learning Training: DP‑SGD

Privacy in Machine Learning Training: Federated Learning

System Security on Google Cloud

System Security on GenAI

Differential Privacy in Machine Learning with TensorFlow Privacy

Module 2: AI Safety

Overview of AI Safety

Safety Evaluation

Harms Prevention

Model Training for Safety: Instruction Fine‑tuning

Model Training for Safety: RLHF

Safety in Google Cloud GenAI

Safeguarding with Vertex AI Gemini API

Who is the instructor for this training?

The trainer for this Responsible AI for Developers: Privacy & Safety Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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