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.

Google Cloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Training, Model Deployment, Data Management, Google Cloud Platform, Data Governance, Data Store, Workflow Management, Metadata Management, AI Workflows, Model Optimization, Managed Services, Model Evaluation, Data Pipelines, Machine Learning, AI Orchestration
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Performance Testing, Prompt Engineering, Generative AI Agents, Generative AI, Agentic Workflows, Performance Tuning, Model Evaluation, Verification And Validation, Large Language Modeling, MLOps (Machine Learning Operations), Embeddings
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Cloud Management, Patch Management, MLOps (Machine Learning Operations), Data Governance, Incident Management, Ansible, IT Automation, Data Management, Metadata Management, Site Reliability Engineering, Automation, Compliance Management, Continuous Monitoring, Cost Management, System Monitoring, Predictive Modeling, Forecasting, Cloud Computing, Financial Management, Data Quality
Mittel · Kurs · 1–3 Monate
Kompetenzen, die Sie erwerben: API Design, Application Programming Interface (API), Cloud API, AI Security, Cloud Management, Security Controls, Application Performance Management, Load Balancing, Incident Response, MLOps (Machine Learning Operations), GitHub, Python Programming, Machine Learning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: AI Security, Ansible, Patch Management, MLOps (Machine Learning Operations), Generative AI, System Monitoring, Incident Response, Incident Management, Continuous Monitoring, IT Automation, Disaster Recovery, Automation, Predictive Analytics
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java Programming, Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Memory Management, Benchmarking, Graph Theory, Program Implementation
Fortgeschritten · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Google Cloud Platform, Model Training, Model Deployment, AI Workflows, Workflow Management, Enterprise Modeling, Model Optimization, Data Pipelines, Data Preprocessing, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Predictive Modeling, Model Evaluation, Data Management, Metadata Management
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: AWS SageMaker, AWS Kinesis, Amazon Web Services, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Model Training, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Cloud Storage, Data Storage, Data Security, Encryption, Key Management
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: CI/CD, Google Cloud Platform, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Kubernetes, Continuous Deployment, Metadata Management, Model Deployment, AI Orchestration, Model Training, Model Optimization, Model Evaluation, Data Validation
Fortgeschritten · Kurs · 1–3 Monate

Packt
Kompetenzen, die Sie erwerben: Model Context Protocol, Docker (Software), Development Environment, LLM Application, Containerization, Large Language Modeling, Model Deployment, Hugging Face, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, OpenAI API, Application Deployment, Agentic Workflows, AI Integrations, Agentic systems, Jupyter
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Statistical Methods, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming
Mittel · Kurs · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: GitHub, Package and Software Management, Okta, Azure Active Directory, Security Assertion Markup Language (SAML), Enterprise Application Management, Single Sign-On (SSO), Git (Version Control System), Continuous Integration, CI/CD, Authorization (Computing), Role-Based Access Control (RBAC), Enterprise Security, Identity and Access Management, Apache Maven, User Provisioning, MLOps (Machine Learning Operations), Containerization, Security Strategy, Automation
Anfänger · Kurs · 1–4 Wochen