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.

Coursera
Kompetenzen, die Sie erwerben: Responsible AI, AI Security, Threat Modeling, MLOps (Machine Learning Operations), Budget Management, Cost Control, Data Ethics, Data Governance, Experimentation, Prompt Engineering, Application Security, CI/CD, Automation, Financial Forecasting, Compliance Management, Governance, Technical Documentation, Vulnerability Assessments, Risk Management, Stakeholder Communications
★ 3.5 (10) · Mittel · Spezialisierung · 3–6 Monate

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

Microsoft
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Model Optimization, Machine Learning Methods, AI Security, Responsible AI, Google Cloud Platform, Data Quality
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Generative AI, Model Optimization, Continuous Monitoring, Model Deployment, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Automation
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Feature Engineering, Kubernetes, Cloud-Native Computing, Model Training, DevOps, AI Workflows, CI/CD, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scalability, Data Pipelines, Docker (Software), Machine Learning Algorithms, Data Science, Data Validation, Python Programming, Artificial Intelligence, Random Forest Algorithm
Mittel · Kurs · 1–4 Wochen

Whizlabs
Kompetenzen, die Sie erwerben: AWS SageMaker, MLOps (Machine Learning Operations), Model Training, Model Deployment, Data Preprocessing, Feature Engineering, Model Evaluation, Responsible AI, Amazon Web Services, Data Wrangling, Model Optimization, Supervised Learning, Data Transformation, Data Processing, Machine Learning Algorithms, Machine Learning Methods, Applied Machine Learning, Cloud Deployment, Apache Airflow, Performance Tuning
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Model Optimization, Machine Learning Methods, Continuous Monitoring, AI Security, Responsible AI, Data Quality, Automation
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Preprocessing, Model Deployment, Model Evaluation, Model Optimization, Generative Model Architectures, Feature Engineering, Model Training, Machine Learning Methods, Microsoft Azure, Applied Machine Learning, Machine Learning, Azure DevOps Pipelines, Data Processing, Large Language Modeling, Cloud Deployment, Machine Learning Software, Data Cleansing, Machine Learning Algorithms, Fine-tuning, Classification Algorithms
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Generative Model Architectures, Recurrent Neural Networks (RNNs), Fine-tuning, Generative AI, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Artificial Neural Networks, Convolutional Neural Networks, AI Workflows, Hugging Face, Image Analysis, Deep Learning, Model Deployment, Autoencoders, Machine Learning, Computer Science, Algorithms, Data Science
Fortgeschritten · Kurs · 1–3 Monate

Microsoft
Kompetenzen, die Sie erwerben: Generative AI, MLOps (Machine Learning Operations), OpenAI, Retrieval-Augmented Generation, Embeddings, Data Maintenance, Data Governance, Enterprise Architecture, Data Quality, Data Pipelines, Cloud Computing, Solution Architecture, Vector Databases, Model Evaluation, Data Validation, Technology Roadmaps, Data Science, Data Analysis, Information Technology, Continuous Monitoring
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: AI Security, Responsible AI, Threat Modeling, Governance Risk Management and Compliance, Compliance Management, Data Ethics, Data Governance, Model Evaluation, Reinforcement Learning, Risk Management, Prompt Engineering, Governance, Regulatory Compliance, Security Testing, Embeddings, MLOps (Machine Learning Operations), MITRE ATT&CK Framework, Continuous Monitoring, Ethical Standards And Conduct, Vulnerability Assessments
★ 3.3 (20) · Mittel · Spezialisierung · 3–6 Monate