Microsoft
Experiment with Azure Machine Learning
Choose this module if you want to compare models by using automated machine learning, MLflow, and the Responsible AI dashboard.
- Microsoft Learn
- 1 hour
- Self-paced
- Free course
- Free badge
- Beginner
Free online
Learn AI Ethics online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Microsoft
Choose this module if you want to compare models by using automated machine learning, MLflow, and the Responsible AI dashboard.
Saïd Business School, University of Oxford
As AI systems become more powerful and embedded across industries, the need for effective governance is no longer optional – it’s essential. This course explores how organisations can ensure that AI tools are not only effective but also safe, fair, and accountable throughout their lifecycle. You’ll…
Microsoft
Learn how to measure and mitigate risks for a generative AI app leveraging responsible AI tools and features within Azure AI Foundry.
Microsoft
This module provides an overview of Microsoft's responsible AI principles, guidelines, and standards.
Google Cloud
A medida que aumenta el uso empresarial de la inteligencia artificial y el aprendizaje automático, también crece la importancia de implementarlo responsablemente. El desafío para muchas personas es que hablar sobre la IA responsable puede ser más fácil que aplicarla. Si te interesa aprender cómo po…
University of Michigan
In “Generative AI: Governance, Policy, and Emerging Regulation,” you’ll discuss governance considerations for generative artificial intelligence (AI) systems deployed in an organization and explore data management practices, transparency methods, risk and impact assessments, and management approach…
Google
Short courses on generative AI, large language models and responsible AI.
Microsoft
Scale responsible AI governance to enterprise multi-agent systems using Azure AI Content Safety and Microsoft Foundry. Design systematic fairness and bias monitoring for agent decision chains, implement transparency and explainability mechanisms, configure privacy protection, and establish audit tr…
Udacity
Understand and apply LLMOps principles to large language models. Master the ability to fine-tune, deploy, and monitor applications while implementing AI safety measures across multiple production projects.
Massachusetts Institute of Technology
Instructor: Dan Frey View the complete course: https://ocw.mit.edu/RES-EC-001S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX In an effort to build the capacity of the students and faculty on the topics of bias and fairness in machine learning (ML) and…
Microsoft
This course prepares you to apply Microsoft Copilot to core generative AI use cases in data science, from model building and data augmentation to risk management and responsible AI practices. Designed for data scientists, ML practitioners, and technically oriented data professionals who want to go…
Stanford University
In this seminar, we will focus on the challenges in the design of safe and verified AI-based systems. We will explore some of the major problems in this area from the viewpoint of industry and academia. We plan to have a weekly seminar speaker to discuss issues such as verification of AI systems, r…
Microsoft
Learn how to govern AI workloads using Microsoft Foundry by enforcing policies, managing costs, ensuring compliance, and applying responsible AI guardrails through hands‑on governance scenarios and exercises.
Johns Hopkins University
The course "Responsible AI and Ethics" explores the ethical, social, and technical aspects of artificial intelligence (AI) and machine learning (ML). It focuses on understanding bias in both human and machine systems and provides strategies for mitigating risks. By examining key issues such as fair…
Microsoft
Discover Microsoft's commitment to ethical AI. Learn about the principles of responsible AI - fairness, reliability & safety, privacy & security, transparency, inclusiveness, and accountability specifically for a learning environment. Principles that are designed to guide and shape the future of AI…
MIT OpenCourseWare
RAISE (Responsible AI for Social Empowerment and Education) is a new MIT-wide initiative headquartered in the MIT Media Lab and in collaboration with the MIT Schwarzman College of Computing and MIT Open Learning. MIT researchers continually develop curriculum modules and associated teaching materia…
Google Cloud
This course, Responsible AI: Applying AI Principles with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Responsible AI: Applying AI Principles with Google Cloud. As the use of enterprise Artificial Intelligence and Machine…