Responsible AI

Responsible AI is a critical approach to developing and using artificial intelligence systems ethically and beneficially for society. Coursera's Responsible AI catalogue teaches you the fundamental principles of mitigating unfair biases, ensuring transparency, and maintaining human oversight in AI applications. You'll learn to apply frameworks for assessing AI harms, recognize potential security and privacy risks, and implement best practices for deploying AI responsibly in workplace scenarios. Mastering Responsible AI empowers you to create and use AI systems that are trustworthy, aligned with human values, and capable of driving innovation while safeguarding against unintended negative consequences.
198credentials
3online degrees
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Results for "responsible ai"

  • Skills you'll gain: Generative AI, Google Gemini, Large Language Modeling, Prompt Engineering, Responsible AI, LLM Application, Google Cloud Platform, Big Data, Database Development

  • Skills you'll gain: Google Gemini, Generative AI, Large Language Modeling, Prompt Engineering, Responsible AI, Google Cloud Platform, Natural Language Processing, Machine Learning Algorithms

  • Skills you'll gain: Responsible AI, Security Strategy, Data Security, Information Systems Security, Threat Modeling, Security Controls, Infrastructure Security, Risk Management Framework, Information Privacy, Artificial Intelligence

  • Skills you'll gain: Human Computer Interaction, Database Design, MySQL, Database Management Systems, Database Theory, Data Ethics, Generative AI, Databases, Software Development Methodologies, Usability, Relational Databases, User Interface (UI), Data Mining, Computer Vision, Responsible AI, Regression Analysis, Data Structures, Systems Development Life Cycle, Algorithms, Anomaly Detection

  • Skills you'll gain: Google Gemini, Generative AI, Large Language Modeling, Prompt Engineering, LLM Application, Responsible AI, Google Cloud Platform, Data Pipelines, Big Data, Natural Language Processing, Machine Learning Algorithms

  • Skills you'll gain: Generative AI, Prompt Engineering, Data Pipelines, Big Data, LLM Application, Google Cloud Platform, Responsible AI, Natural Language Processing

  • Status: New

    Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, Responsible AI, Artificial Intelligence, Cloud Infrastructure, No-Code Development, Business Strategy, Innovation

  • Skills you'll gain: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Data Ethics, Dimensionality Reduction, Probability & Statistics, Responsible AI, Machine Learning Methods, Machine Learning, Natural Language Processing, Applied Machine Learning, Linear Algebra, Semantic Web, Classification And Regression Tree (CART), Machine Learning Algorithms, Statistical Machine Learning, Statistical Methods, Predictive Modeling, Bayesian Statistics, Scientific Visualization

  • Universidad de los Andes

    Skills you'll gain: Real-Time Operating Systems, LLM Application, Supervised Learning, Semantic Web, Unsupervised Learning, Cloud-Native Computing, Continuous Deployment, Reinforcement Learning, Stakeholder Management, Computer Vision, MLOps (Machine Learning Operations), Biomedical Engineering, Natural Language Processing, Artificial Intelligence, Deep Learning, Data Ethics, Game Theory, Probability & Statistics, Machine Learning Methods, Responsible AI

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