MLOps-Kurse
MLOps-Kurse können Ihnen helfen zu verstehen, wie Modelle bereitgestellt, überwacht und skaliert werden. Sie können Fähigkeiten in Automatisierung, Pipeline-Aufbau, Modelltracking und Infrastruktur aufbauen. Viele Kurse stellen Werkzeuge und Workflows vor, die den úbergang von Modellen in produktive Umgebungen unterstützen.
Beliebte MLOps Kurse & Zertifikate
Pragmatic AI Labs
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles
Coursera
Kompetenzen, die Sie erwerben: AI Security, Responsible AI, Threat Modeling, DevSecOps, Governance Risk Management and Compliance, Compliance Management, Data Ethics, Data Governance, Model Evaluation, Reinforcement Learning, Risk Management, Prompt Engineering, Governance, Regulatory Compliance, Security Testing, MLOps (Machine Learning Operations), MITRE ATT&CK Framework, Continuous Monitoring, Ethical Standards And Conduct, Vulnerability Assessments
Kompetenzen, die Sie erwerben: Model Evaluation, Generative AI, Model Deployment, MLOps (Machine Learning Operations), Google Cloud Platform, Continuous Monitoring, Responsible AI
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Computational Thinking, Data Processing, Solution Design, Process Mapping, Data Pipelines
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), LLM Application, AI Security, Test Automation, Test Driven Development (TDD), Code Coverage, Unit Testing, CI/CD, Continuous Integration, Testability, Large Language Modeling, Model Deployment, Responsible AI, Maintainability, AI Workflows, Scripting, Software Engineering, Python Programming, Statistical Analysis, SQL
Kompetenzen, die Sie erwerben: Generative AI, OpenAI, Data Pipelines, Data Preprocessing, Deep Learning, Scalability, Artificial Intelligence, Model Evaluation, Natural Language Processing, Machine Learning, Data Science
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Deployment, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Applied Machine Learning, Machine Learning, Data Processing
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Performance Metric, Performance Measurement, Failure Analysis
Kompetenzen, die Sie erwerben: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines
Zusammenfassend finden Sie hier 10 unsere beliebtesten mlops Kurse
- Machine Learning with Databricks and MLflow: Pragmatic AI Labs
- Building Trustworthy AI: Coursera
- Career Development for Multimodal Intelligence: Coursera
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia: Google Cloud
- Deconstruct AI: Complex ML Problems: Coursera
- Testing and Refining LLM Applications: Coursera
- Production-Ready Multimodal ML Engineering: Coursera
- RAG-Driven Generative AI: Packt
- Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
- Deploy & Evaluate Vision Models Effectively: Coursera
