AI Transparency Courses and Certifications

Responsible AI for Developers: Interpretability & Transparency

13 ratings at Coursera

Explore AI interpretability and transparency techniques, gaining practical skills to enhance data and model clarity for responsible AI development.

• Coursera
• 3 hours 3 minutes
• On-Demand
• Paid Course

Responsible AI for Developers: Interpretability & Transparency

Explore AI interpretability and transparency techniques, including feature-based explanations and practical tools, to enhance responsible AI development and implementation.

• Google Skills
• 3 hours
• On-Demand
• Paid Course

Center for Language & Speech Processing(CLSP), JHU

Trustworthy LLMs - Mitigating Issues in Social Bias, Safety and Reliability

Explore critical approaches to auditing and mitigating biases in large language models, focusing on accountability, fairness, and ethical deployment for positive societal impact.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

PyCon US

Snowflake's Generative AI Innovations - Transparency in AI Research

Explore Snowflake's open approach to generative AI research, including tools, practices, and recipes for training LLMs. Learn about use cases in prompting, retrieval, and presentation.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

ManaTEE - Enabling Verifiable AI Transparency With Confidential Computing

Discover how ManaTEE enables secure AI model evaluation using Trusted Execution Environments, balancing transparency with confidentiality for proprietary systems.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Coursera

Responsible AI: Transparency & Ethics

Discover practical tools and frameworks to build ethical, transparent AI systems while learning to audit models for bias and enhance explainability using SHAP and LIME.

• Coursera
• 3 hours 8 minutes
• On-Demand
• Paid Course

Responsible AI for Developers: Interpretability & Transparency

Explore practical methods and tools to achieve interpretability and transparency in both data and AI models.

• edX
• 3 weeks, 3-4 hours a week
• On-Demand
• Free Online Course (Audit)

Responsible AI for Developers: Interpretability & Transparency - 简体中文

探索AI可解释性和透明度的概念、方法和工具，帮助开发者和工程师在数据和模型中实现负责任的AI实践，提高AI系统的可信度和可靠性。

• Coursera
• 3 hours 10 minutes
• On-Demand
• Paid Course

Generative AI in the Workplace: Policies, Ethics, and Risks

11 ratings at Coursera

Explore ethical considerations, policies, and risks of generative AI implementation in organizations while learning to navigate transparency, legal challenges, and future developments.

• Coursera
• 6 hours 2 minutes
• On-Demand
• Paid Course

AI Ethics for Professionals

Explore the ethical dimensions of AI development and deployment, from governance frameworks to practical implementation strategies for responsible innovation in various professional contexts.

• edX
• 1 week, 1-4 hours a week
• On-Demand
• Free Online Course (Audit)

Copilot Best Practices, Ethics and Regulatory Implications

28 ratings at Coursera

Explore ethical AI use, optimize Copilot, and navigate legal complexities. Gain skills in responsible AI implementation, bias mitigation, and regulatory compliance for generative AI tools.

• Coursera
• 6 hours 9 minutes
• On-Demand
• Paid Course

AI for Professionals: Ethics, Responsibility and Best Practices

The AI for Professionals: Ethics, Responsibility and Best Practices course aims to equip industry leaders and professionals with the knowledge and tools necessary to navigate the complex ethical landscape of AI technologies.

• edX
• 4 weeks, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

EDUCBA

Master Ethical AI: Analyze, Evaluate & Lead Responsibly

Explore AI ethics through real-world case studies, bias analysis, and regulatory frameworks to lead responsible AI initiatives and champion trustworthy innovation in your organization.

• Coursera
• 8 hours 47 minutes
• On-Demand
• Paid Course

Leading Responsible AI in Organizations

438 ratings at LinkedIn Learning

Harness the benefits of AI technologies while managing the risks and contributing positively to society and the environment.

• LinkedIn Learning
• 39 minutes
• On-Demand
• Free Trial Available

AWS Events

Accelerating End-to-End Supply Chain Transparency with AI/ML

Discover how to build automated AWS architectures for supply chain transparency, featuring PVH's implementation using AI/ML for document processing and end-to-end visibility.

• YouTube
• 39 minutes
• On-Demand
• Free Video