Responsible Artificial Intelligence

Filter Courses within "Responsible Artificial Intelligence" (Click to filter)
Introduction to Responsible AI (Coursera) Coursera
Google Cloud

Introduction to Responsible AI (Coursera)

Dive into the world of responsible AI with our beginner-friendly microlearning course. Explore what responsible AI means, its importance in today’s tech landscape, and how Google integrates these principles into their products. This course will introduce you to Google's 7 key AI principles and equip you with a foundational understanding of ethical technology development.

Jun 8th 2026
1 Week
Navigating Generative AI Risks for Leaders (Coursera) Coursera
Coursera Instructor Network

Navigating Generative AI Risks for Leaders (Coursera)

Are you prepared for the risks that come with integrating generative artificial intelligence into your organization? This course is designed for leaders who want to navigate the potential pitfalls of AI implementation, ensuring their businesses remain secure, ethical, and competitive. Explore key areas such as business model risks, content accuracy, data protection, and privacy issues.

Jun 8th 2026
1 Week
Responsible AI - Principles and Ethical Considerations (Coursera) Coursera
Fractal Analytics

Responsible AI - Principles and Ethical Considerations (Coursera)

Embark on a transformative journey into the heart of responsible artificial intelligence with our course 'Responsible AI – Principles and Ethical Considerations'. Gain insights into the foundational principles that guide the ethical use of AI technologies. Explore critical concepts such as fairness, transparency, accountability, and privacy in data science applications.

May 18th 2026
5-12 Weeks
Applications of TinyML (edX) EdX
HarvardX,Harvard University

Applications of TinyML (edX)

Dive into the world of Tiny Machine Learning with our Applications of TinyML course. This hands-on program will guide you through real-world case studies, showcasing practical applications such as keyword spotting, visual wake words, and gesture recognition. Gain insights directly from industry experts on deploying models onto tiny or deeply embedded devices.

Self Paced
Self-Paced
Machine Learning Operations 2 (MLOps2-AWS): Data Pipeline Automation & Optimization using Amazon Web Services (AWS) (edX) EdX
Statistics.comX,Statistics.com

Machine Learning Operations 2 (MLOps2-AWS): Data Pipeline Automation & Optimization using Amazon Web Services (AWS) (edX)

Unlock the secrets to successful machine learning project deployment with our MLOps2-AWS course. Dive into automating and optimizing your data pipeline using powerful AWS tools. Perfect for data scientists, developers, and IT pros aiming to streamline their ML projects.

Self Paced
Self-Paced
Machine Learning Operations 2 (MLOps2-GCP): Data Pipeline Automation & Optimization using Google Cloud Platform (GCP) (edX) EdX
Statistics.comX,Statistics.com

Machine Learning Operations 2 (MLOps2-GCP): Data Pipeline Automation & Optimization using Google Cloud Platform (GCP) (edX)

Transform your approach to deploying machine learning models with our comprehensive course on MLOps2-GCP. Dive into the world of data pipeline automation and optimization using Google Cloud Platform (GCP) to ensure smooth, efficient, and successful ML project deployments. Whether you're a data scientist, engineer, or enthusiast, this course will equip you with the essential skills needed to overcome one of the primary challenges in machine learning.

Self Paced
Self-Paced
Page 1