Results for "mlops (machine learning operations)"
Status: Free TrialDuke University
Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Responsible AI, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Status: NewStatus: Free TrialKodeKloud
Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Management, Model Training, Data Security, Amazon Web Services, Application Deployment, Cloud Deployment, General Data Protection Regulation (GDPR), Model Optimization, Model Evaluation, Information Privacy, Application Programming Interface (API)
Status: NewStatus: Free TrialSkills you'll gain: Model Optimization, Model Training, AI Workflows, Data Pipelines
Status: Free TrialMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning
Status: NewStatus: Free TrialBoard Infinity
Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Serverless Computing, Google Cloud Platform, Cloud Deployment, AI Integrations, Docker (Software), Cloud Platforms, Cloud Computing, Containerization, Application Deployment, Amazon Web Services, Restful API, DevOps, CI/CD, Microsoft Azure, Public Cloud, Devops Tools, Continuous Integration
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Model Training, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Continuous Integration, Software Testing, Model Training, CI/CD, Scalability, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)
Status: Free TrialSkills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Architecture, Data Quality, Data Cleansing, Machine Learning Methods
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Decision Intelligence, Performance Metric, Python Programming, Version Control
Status: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
Status: NewStatus: Free TrialSkills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, MLOps (Machine Learning Operations), Applied Machine Learning, Software Development, Machine Learning
In summary, here are 10 of our most popular mlops (machine learning operations) courses
- MLOps | Machine Learning Operations:Â Duke University
- Deploy ML Models to Production:Â KodeKloud
- Automate, Optimize, and Monitor ML Models:Â Coursera
- Machine Learning:Â DeepLearning.AI
- Machine Learning Operations (MLOps):Â Board Infinity
- Machine Learning Operations (MLOps) on Google Cloud:Â Google Cloud
- Hands-On MLOps Fundamentals for ML Engineers:Â KodeKloud
- ML Production Systems:Â Coursera
- Data Engineering, Big Data, and Machine Learning on GCP:Â Google Cloud
- Gradient to Production: MLOps & Model Serving:Â Coursera
