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
Status: NeuKompetenzen, die Sie erwerben: .NET Framework, Machine Learning, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, OpenAI, Microsoft Azure, MLOps (Machine Learning Operations), Development Environment, Microsoft Development Tools, Image Analysis, Responsible AI, Computer Vision, Natural Language Processing
Status: VorschauKompetenzen, die Sie erwerben: Google Gemini, Generative AI, Multimodal Prompts, LLM Application, Prompt Engineering, Google Cloud Platform, MLOps (Machine Learning Operations), Product Lifecycle Management, Prototyping
Status: VorschauCoursera
Kompetenzen, die Sie erwerben: Databricks, Scalability, Workflow Management, Organizational Leadership, Data Architecture, MLOps (Machine Learning Operations), Strategic Thinking, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Strategy, Strategic Planning, Infrastructure Architecture, Applied Machine Learning, Automation
Kompetenzen, die Sie erwerben: Application Deployment, Image Analysis, Google Cloud Platform, Computer Vision, Anomaly Detection, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Analytics
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Amazon Elastic Compute Cloud, Continuous Deployment, Continuous Integration, Debugging
Status: VorschauKompetenzen, die Sie erwerben: Google Gemini, Generative AI, Prompt Engineering, AI Product Strategy, Multimodal Prompts, MLOps (Machine Learning Operations), LLM Application, Google Cloud Platform
Status: VorschauKompetenzen, die Sie erwerben: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Data Processing, Data Cleansing, Application Deployment, Data Transformation, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, System Monitoring, Google Cloud Platform, Data Ethics, Responsible AI, Machine Learning
Google Cloud
Kompetenzen, die Sie erwerben: Cloud Computing, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Application Deployment, Continuous Deployment, Microservices, Load Balancing
Status: VorschauKompetenzen, die Sie erwerben: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Artificial Neural Networks, Data Pipelines, Data Processing, Application Deployment, Application Programming Interface (API)
Google Cloud
Kompetenzen, die Sie erwerben: Real Time Data, Scalability, Data Pipelines, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning
Zusammenfassend finden Sie hier 10 unsere beliebtesten mlops Kurse
- Building AI-Powered Application with .NET: Packt
- Introduction to Vertex AI Studio - Bahasa Indonesia: Google Cloud
- Databricks Mosaic AI: Coursera
- Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution: Google Cloud
- Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
- AWS: Model Training , Optimization & Deployment: Whizlabs
- Introduction to Vertex AI Studio - Português Brasileiro: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Español: Google Cloud
- Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
- Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh: Google Cloud
