Cours en MLOps
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.
Cours et certificats populaires en MLOps
KodeKloud
Compétences que vous acquerrez: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Big Data, Data Preprocessing, Feature Engineering, Model Deployment, CI/CD, Pandas (Python Package), Data Transformation
Compétences que vous acquerrez: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Responsible AI, Data Quality
Compétences que vous acquerrez: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Continuous Monitoring, AI Security, Statistical Methods, Responsible AI, Google Cloud Platform
Compétences que vous acquerrez: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Data Preprocessing, Service Level, Model Evaluation, Real Time Data, Data Store, Data Transformation, Data Validation, Key Performance Indicators (KPIs)
Compétences que vous acquerrez: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware
Compétences que vous acquerrez: Model Evaluation, Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Applied Machine Learning
Compétences que vous acquerrez: MLOps (Machine Learning Operations), Feature Engineering, Workflow Management, Predictive Modeling, Scalability, Performance Tuning
Compétences que vous acquerrez: Responsible AI, Model Deployment, AI Product Strategy, Technical Design, Prompt Engineering, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Technical Communication, Communication, Software Design, AI Workflows, MLOps (Machine Learning Operations), LLM Application, Apache Airflow, System Design and Implementation, Leadership, Python Programming, CI/CD, SQL, AWS CloudFormation
Compétences que vous acquerrez: MLOps (Machine Learning Operations), Package and Software Management, Unit Testing, Testability, Python Programming
Compétences que vous acquerrez: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, AI Security, Continuous Monitoring, Scalability
En résumé, voici 10 de nos cours les plus populaires sur mlops .
- Eyes on AI - Computer Vision Engineering: Coursera
- Data Engineering Essentials: KodeKloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
- Production ML Engineering: Packaging, APIs, and Testing: Coursera
- Orchestrate, Analyze, and Evaluate ML Pipelines: Coursera
- ML Model Development and Tracking: Hands-on Guide: KodeKloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
- Automate ML Pipelines for Peak Performance: Coursera
- Advancing Your Career in Production AI: Coursera
