Results for "implement responsible machine learning"
University of Michigan
Skills you'll gain: Responsible AI, Generative AI, Governance, Data Governance, Data Management, Data Ethics, Compliance Management, Consumer Behaviour, AI literacy, AI powered creativity, AI Enablement, Social Impact, Business Risk Management, Law, Regulation, and Compliance, Stakeholder Analysis, Decision Intelligence, Stakeholder Engagement, Business Operations, Leadership and Management, Risk Management
Google Cloud
Skills you'll gain: Responsible AI, AI Security, Information Privacy, Generative AI, Data Ethics, Google Cloud Platform, Artificial Intelligence, AI literacy, Data Security, Cloud Security, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Safety and Security, Machine Learning, Model Evaluation, Ethical Standards And Conduct, Data Quality, Data Validation
Coursera
Skills you'll gain: Data Ethics, Responsible AI, Ethical Standards And Conduct, Technical Communication, Stakeholder Communications, Model Evaluation, Data Preprocessing, People Analytics, Sampling (Statistics), Statistical Analysis, Performance Analysis
Skills you'll gain: Decision Intelligence, Responsible AI, Apache Kafka, Data Ethics, Operations Research, Data Pipelines, Model Deployment, Apache Spark, Real Time Data, Revenue Management, Market Dynamics, Supply Chain Planning, Supply Chain, Logistics, Compliance Management, Information Privacy, People Analytics, Regulatory Compliance, General Data Protection Regulation (GDPR), Python Programming
Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Model Optimization, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Coursera
Skills you'll gain: Responsible AI, AI Security, Threat Modeling, MLOps (Machine Learning Operations), Budget Management, Secure Coding, Data Ethics, Data Governance, Experimentation, Prompt Engineering, Application Security, CI/CD, Automation, Financial Forecasting, Compliance Management, Governance, Technical Documentation, Vulnerability Assessments, Risk Management, Stakeholder Communications
What brings you to Coursera today?
Amazon Web Services
Skills you'll gain: Responsible AI, AI Security, Human Centered Design, Data Ethics, Model Evaluation, Artificial Intelligence, AI literacy, Data Preprocessing
Northeastern University
Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Data Governance, Artificial Intelligence and Machine Learning (AI/ML), Dependency Analysis, Law, Regulation, and Compliance, Machine Learning, Ethical Standards And Conduct, Data-Driven Decision-Making, Data Integrity, General Data Protection Regulation (GDPR), Personally Identifiable Information, Information Privacy, Risk Management Framework, Model Evaluation, Data Security
Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Responsible AI, Data Ethics, Generative Adversarial Networks (GANs), Generative Model Architectures, LLM Application, Agentic systems, AI Security, Law, Regulation, and Compliance, Agentic Workflows, Discussion Facilitation, Regulatory Requirements, Regulatory Compliance, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, SAS (Software), Analytics, Machine Learning
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), Service Level Agreement, Performance Stress Testing, Performance Measurement, Performance Analysis
Fractal Analytics
Skills you'll gain: Responsible AI, Generative AI, Data Ethics, AI literacy, Artificial Intelligence, Risking, Critical Thinking, Problem Solving
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization
In summary, here are 10 of our most popular implement responsible machine learning courses
- Responsible Generative AI:Â University of Michigan
- Responsible AI for Developers:Â Google Cloud
- Ensure Ethical AI & Debiasing:Â Coursera
- Responsible AI, Explainability & Deployment:Â Coursera
- Machine Learning Made Easy for Software Engineers:Â Coursera
- Strategic AI Governance:Â Coursera
- Responsible AI Practices:Â Amazon Web Services
- Responsible and Ethical AI:Â Northeastern University
- AI Literacy: Responsible, Trustworthy, Effective:Â SAS
- Deploy & Optimize ML Services Confidently:Â Coursera
