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.

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), API Design, CI/CD, Software Quality Assurance, Code Review
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Responsible AI, API Design, Multimodal Prompts, Data Preprocessing, Vision Transformer (ViT), Data Processing, Solution Architecture, Kubernetes, Apache Airflow, Transfer Learning, PyTorch (Machine Learning Library), Data Pipelines, CI/CD, Model Evaluation, Deep Learning, Natural Language Processing, Computer Vision, Docker (Software), Ethical Standards And Conduct
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Evaluation, Transfer Learning, PyTorch (Machine Learning Library), Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Image Analysis, Computer Vision, AI Workflows, Convolutional Neural Networks, Verification And Validation, Tensorflow, Dataflow, Performance Tuning, Performance Metric, Data Analysis, Deep Learning, Exploratory Data Analysis, Process Optimization
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Board Infinity
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, Data Cleansing, Data Transformation, Data Preprocessing, Data Storytelling, Feature Engineering, AWS SageMaker, Systems Architecture, Systems Design, Cloud Computing Architecture, Scalability, MLOps (Machine Learning Operations), System Design and Implementation, Kubernetes, Cloud Deployment, Requirements Analysis, Data Engineering, Cloud Infrastructure, Docker (Software), Prometheus (Software)
Mittel · Spezialisierung · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, Tensorflow, Model Evaluation, Apache Airflow, Systems Design, Cloud Computing Architecture, Transfer Learning, Unit Testing, Cloud Deployment, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning, Python Programming, Data Validation
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: OAuth, Unit Testing, Apache Airflow, Model Evaluation, Data Validation, API Design, Data Pipelines, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Hugging Face, Large Language Modeling, LLM Application, CI/CD, Tensorflow, PyTorch (Machine Learning Library)
Mittel · Spezialisierung · 3–6 Monate

Packt
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming
Fortgeschritten · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Continuous Delivery, Test Automation, CI/CD, Continuous Integration, Technical Documentation, Unit Testing, API Design, Application Programming Interface (API), Maintainability, Version Control, Package and Software Management, Code Review, Verification And Validation
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, CI/CD, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Scalability, Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Vision Transformer (ViT), MLOps (Machine Learning Operations), Generative AI, Model Deployment, Tensorflow, Performance Tuning, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, System Design and Implementation, Technical Communication, Machine Learning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Feature Engineering, Extract, Transform, Load, Data Pipelines, Data Transformation, Model Evaluation, MLOps (Machine Learning Operations), Pandas (Python Package), Data Storytelling, Data Preprocessing, PySpark, Data Quality, Apache Spark, Data-Driven Decision-Making, A/B Testing, Data Analysis, Data Visualization, Data Governance, Data Cleansing, Exploratory Data Analysis, Machine Learning
Mittel · Kurs · 1–3 Monate