Les cours en MLOps peuvent vous aider à comprendre comment déployer, superviser et faire évoluer des modèles d'apprentissage automatique. Vous pouvez développer des compétences en pipelines, automatisation, surveillance, documentation et bonnes pratiques de production. Beaucoup de cours utilisent des environnements réels pour illustrer les workflows.

Google Cloud
Compétences que vous acquerrez: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Kubernetes, Continuous Deployment, Tensorflow, Metadata Management, Model Training, Model Optimization, Model Evaluation, Containerization, Data Validation
Avancées · Cours · 1 à 3 mois

Coursera
Compétences que vous acquerrez: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring
Intermédiaire · Cours · 1 à 4 semaines

Google Cloud
Compétences que vous acquerrez: Big Data, Analytics, Data Analysis, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Google Cloud Platform, Model Deployment, Machine Learning
Débutant · Cours · 1 à 4 semaines

Compétences que vous acquerrez: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning, Data Preprocessing, Data Import/Export
Intermédiaire · Cours · 1 à 4 semaines

Compétences que vous acquerrez: Configuration Management, Experimentation, Software Documentation, Software Versioning, Software Configuration Management, Collaborative Software, Testability, Workflow Management, Development Environment
Intermédiaire · Cours · 1 à 4 semaines
Coursera
Compétences que vous acquerrez: Model Evaluation, MLOps (Machine Learning Operations), Classification Algorithms, Model Deployment, Machine Learning Software, Applied Machine Learning, Machine Learning Algorithms, Java, Software Design Patterns, Data-Driven Decision-Making, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business
Intermédiaire · Cours · 1 à 4 semaines

Compétences que vous acquerrez: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Intermédiaire · Cours · 1 à 3 mois

Google Cloud
Compétences que vous acquerrez: MLOps (Machine Learning Operations), Model Training, Model Deployment, Data Preprocessing, Data Management, Data Governance, Information Management, Data Processing, Data Wrangling, AI Workflows, Model Optimization, Applied Machine Learning, Google Cloud Platform, Machine Learning Methods, Data Pipelines, Model Evaluation, AI Orchestration, Machine Learning, Containerization
Intermédiaire · Cours · 1 à 3 mois

Compétences que vous acquerrez: Model Training, Benchmarking, Decision Intelligence, Resource Utilization, Cost Estimation, Resource Consumption Accounting, Memory Management, Run Chart, Analysis, Cost Management
Intermédiaire · Cours · 1 à 4 semaines

Compétences que vous acquerrez: Solution Architecture, Systems Design, Architectural Drawing, Software Design, Artificial Intelligence and Machine Learning (AI/ML), Design Specifications, Dataflow, Data Store, Functional Specification, Diagram Design, Data Pipelines
Intermédiaire · Cours · 1 à 4 semaines

Coursera
Compétences que vous acquerrez: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods
Intermédiaire · Cours · 1 à 4 semaines

Coursera
Compétences que vous acquerrez: MLOps (Machine Learning Operations), Model Optimization, Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Test Automation, Performance Improvement
Intermédiaire · Cours · 1 à 4 semaines