Online Courses Catalog

Amazon Web Services

Learn responsible AI fundamentals and explore AWS tools and services to develop transparent and explainable AI systems.

Coursera

A course for professionals addressing challenges of AI ethics implementation, focusing on transparency, bias mitigation, and responsible AI practices.

AI CERTs

A focused one-day program equipping professionals with knowledge and frameworks to evaluate, guide, and govern ethical AI use in organizations.

Fractal Analytics

A one-week microlearning course introducing principles of Responsible AI and their alignment with Generative AI, highlighting key challenges in the field.

Northeastern University

Explore ethical challenges and advanced AI techniques in mental health to promote safety, fairness, and innovation in care solutions.

Google Cloud

Explore ethical principles and best practices for responsible AI development and learn how organizations implement these frameworks with Google Cloud.

Coursera

Master resolving complex merge conflicts and tracing bugs in collaborative projects using Git techniques for stable and high-quality codebases.

Google Cloud

This course covers key AI privacy and security issues with practical techniques and tools to implement recommended practices using Google Cloud services and open-source tools.

University of Cape Town

This course explains the Research for Impact approach focused on making research influence policies, practices, behavior, and attitudes.

Google Cloud

This course introduces AI interpretability and transparency and their importance for developers and engineers, including practical tools and methods for implementation.

Google Cloud

Introduction to AI interpretability and transparency concepts, focusing on their importance for developers and engineers, with practical tools and methods explored.

Google Cloud

Learn concepts of AI interpretability and transparency, understand their importance for development teams, and explore practical tools and techniques to enhance AI model clarity.

Google Cloud

This course introduces responsible AI concepts and principles, focusing on identifying and mitigating fairness and bias using Google Cloud products and open-source tools.

Google Cloud

This course presents responsible AI concepts and principles, covering techniques to identify fairness and mitigate bias in AI/ML practices using Google Cloud and open-source tools.

University of Colorado Boulder

This course covers formal methods to model requirements of autonomous systems, including stability, invariance, regular and omega-regular languages, and linear temporal logic.

Google Cloud

Course emphasizing the importance of responsible AI adoption in companies, illustrating best practices for ethical issue identification and management with Google Cloud.

Google Cloud

Introductory course on responsible AI principles and practical application using Google Cloud with best practices.

Google Cloud

Course on operationalizing responsible AI in organizations using Google Cloud with best practices and a structured adoption framework.

Google Cloud

Beginner course explaining the implementation of responsible AI principles with Google Cloud, including best practices and frameworks.

Google Cloud

This course, designed for non-English speakers, covers responsible AI principles and their application using Google Cloud in business contexts.

Johns Hopkins University

This course explores ethical, social, and technical aspects of AI and ML, focusing on understanding and mitigating bias in human and AI systems.

Arizona State University

This course teaches experimental design and optimization using response surface methodology and statistical modeling techniques.

Johns Hopkins University

This course explores effective response to student writing, revision strategies, and assessment methods.

L&T EduTech

This course covers energy efficiency, renewable energy, water management, and waste treatment strategies in building design.