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
Compétences que vous acquerrez: Systems Design, Architectural Drawing, Artificial Intelligence and Machine Learning (AI/ML), Design Specifications
Compétences que vous acquerrez: Model Evaluation, LLM Application, Large Language Modeling, Prompt Engineering, Hugging Face, Transfer Learning, Context Management
Compétences que vous acquerrez: Software Documentation, Engineering Documentation, Technical Documentation, Technical Writing, Technical Communication
Compétences que vous acquerrez: Configuration Management, Experimentation, Software Documentation, Data Maintenance, Analysis, Workflow Management
Coursera
Compétences que vous acquerrez: Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Decision Tree Learning, Report Writing
Compétences que vous acquerrez: Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Algorithms
Compétences que vous acquerrez: Application Deployment, Containerization, Kubernetes, Cloud Development, MLOps (Machine Learning Operations), Cloud Computing, Docker (Software), Application Security, DevOps, Network Infrastructure, Network Security, Microservices, Distributed Computing, Software Design, Software Development, Linux
Compétences que vous acquerrez: Failure Analysis, Applied Machine Learning, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning
Coursera
Compétences que vous acquerrez: Vector Databases, LangChain, Data Integration, Retrieval-Augmented Generation, Prompt Engineering, AI Orchestration, OpenAI
Pragmatic AI Labs
Compétences que vous acquerrez: Prompt Engineering, Hugging Face, Model Deployment, MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Model Evaluation, Applied Machine Learning, Continuous Integration, Transfer Learning, Data Processing, Data Preprocessing, Image Analysis, Large Language Modeling, Rust (Programming Language), Natural Language Processing, Generative AI, AI Orchestration, Data Validation, Cloud Deployment
Compétences que vous acquerrez: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric
Compétences que vous acquerrez: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
En résumé, voici 10 de nos cours les plus populaires sur mlops .
- Design Scalable AI Systems and Components: Coursera
- Fine-Tuning & Optimizing Large Language Models: Edureka
- Document AI: Project & API Writing: Coursera
- Reproduce and Evaluate AI Research Workflows: Coursera
- ML: Build, Train, Justify Models: Coursera
- Optimize ML Models: Hyperparameter Tuning : Coursera
- Real-World Edge Computing: Packt
- Balance and Analyze Image Segmentation: Coursera
- Integrate Embeddings and Chroma: Coursera
- Next-Gen AI Development with Hugging Face: Pragmatic AI Labs
