Responsible AI: Applying AI Principles with Google Cloud
From Principles to Practice: Build Trustworthy AI with Google's Proven Frameworks.
- Actionable Governance Skills
- Risk Identification Mastery
- Use Google's issue-spotting method to preempt ethical pitfalls in AI projects
- Enhance Problem-Solving Skills
- Acquire practical tools for reviewing and governing AI initiatives responsibly
- Navigate regulations with Google Cloud's compliance-driven frameworks
- Build a base for specialized roles in AI development or cloud engineering
- Prepare for more advanced Google Cloud certifications in AI
What you will learn
The course "Responsible AI: Applying AI Principles with Google Cloud" is a practical, enterprise-focused program designed to bridge the gap between ethical AI theory and real-world implementation. It offers a blueprint for organizations to operationalize responsible AI by leveraging Google Cloud’s governance frameworks and lessons learned. Key themes include:
- Google’s AI Principles: A deep dive into the 7 principles guiding ethical AI development, such as fairness, accountability, and privacy.
- Ethical Risk Mitigation: Tools like ethical issue spotting and case studies (e.g., the Celebrity Recognition Case Study) to identify and address biases or harms in AI systems.
- Generative AI Challenges: Exploration of ethical dilemmas posed by emerging technologies like generative AI.
- Governance Frameworks: Step-by-step guidance on setting up AI review processes, aligning with global compliance standards (e.g., GDPR).
Responsible AI: Applying AI Principles with Google Cloud course Outline
For AI Leaders and Technical Decision-Makers:
Ready to turn ethical AI principles into actionable strategies? Google Cloud's Responsible AI: Applying AI Principles course offers a proven roadmap. Through real-world case studies—like optimizing celebrity recognition systems while mitigating bias—you'll master frameworks for ethical reviews, risk spotting, and governance. Whether you're deploying generative AI or refining existing models, this course equips you to align innovation with accountability. Earn a Google Cloud Skill Badge and lead your organization's AI ethics transformation.
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Course Structure Includes:
Foundations of Responsible AI (3 videos): Covers AI's societal impact, Google's AI Principles, and their ethical aims.
Business Case for Ethics (2 videos): Analyzes ROI of responsible AI using The Economist Intelligence Unit report.
Technical & Ethical Challenges (2 videos): Examines dilemmas in generative AI and systemic risks.
Principles in Practice (3 videos): Explores Google's AI governance structure and review processes.
Operationalizing AI Principles - Part 1 (3 videos): Implementing governance and review processes with a real-world case study.
Operationalizing AI Principles - Part 2 (3 videos): Identifying ethical issues and learning from Google's experience.
Next Steps (1 video + resource doc + 1 quiz): Provides tools for ongoing ethical AI development, including compliance checklists.
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Responsible AI: Applying AI Principles with Google Cloud is a practical, enterprise-focused program designed to bridge the gap between ethical AI theory and real-world implementation.
Pre-requisites
No Experience needed.
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Generative AI in Real World Workplaces PDF Free Download | SPOTO
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