DevOps-Kurse können Ihnen helfen zu lernen, wie Entwicklung und Betrieb effizient zusammenarbeiten. Sie können Fähigkeiten in Automatisierung, Versionskontrolle, CI/CD-Pipelines und Systemüberwachung aufbauen. Viele Kurse führen in Tools und Plattformen ein, die moderne Softwarebereitstellung unterstützen.

Kompetenzen, die Sie erwerben: Dashboard Creation, Dashboard, Application Performance Management, Role-Based Access Control (RBAC), Model Optimization, MLOps (Machine Learning Operations), System Monitoring, Enterprise Application Management, Performance Analysis, Performance Metric, Anomaly Detection, Real Time Data, Performance Tuning, Performance Measurement, Devops Tools, Operational Performance Management, Site Reliability Engineering, DevOps, Continuous Monitoring, Root Cause Analysis
Anfänger · Spezialisierung · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Amazon Web Services, Cloud-Native Computing, Docker (Software), Containerization, Infrastructure as Code (IaC), AWS Identity and Access Management (IAM), AI Workflows, DevOps, Command-Line Interface, Serverless Computing, Cloud Deployment, Automation, Application Deployment, Rust (Programming Language), Generative AI, Cloud Computing
Anfänger · Kurs · 1–4 Wochen

Microsoft
Kompetenzen, die Sie erwerben: Web Scraping, Data Structures, Git (Version Control System), Generative AI, Test Script Development, Version Control, Matplotlib, Devops Tools, Plotly, DevOps, Agile Methodology, Web Development, Data Ethics, Flask (Web Framework), Data Visualization, Scripting, GitHub, Data Analysis, Automation, Cloud Computing
★ 4.4 (677) · Anfänger · Berufsbezogenes Zertifikat · 3–6 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Agile Methodology, Technical Communication, Agile Software Development, Sprint Retrospectives, Software Development Methodologies, Agile Project Management, Amazon Bedrock, Claude Code, Agile Product Development, Serverless Computing, Anthropic Claude, Project Design, DevOps, Artificial Intelligence, Devops Tools, Agentic systems, Test Automation, Software Design, Automation, Rust (Programming Language)
Anfänger · Kurs · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Prompt Engineering Tools, Generative AI Agents, LLM Application, OpenAI, Claude Code, Anthropic Claude, Rust (Programming Language), Databricks, Embeddings, MLOps (Machine Learning Operations), Vector Databases, Data Architecture, DevOps, Python Programming, Software Architecture, Scala Programming, Governance
Mittel · Kurs · 1–4 Wochen

Duke University
Kompetenzen, die Sie erwerben: Microsoft Azure, Feinabstimmung, GitHub Kopilot, Maschinelles Lernen, Pandas (Python-Paket), MLOps (Operationen für maschinelles Lernen), Datenmanagement, Einheitstest, DevOps, NumPy, Datenverwaltung, Große Daten, Cloud Computing, GitHub, Gesicht umarmen, Cloud-Bereitstellung, Verantwortungsvolle AI, Python-Programmierung, Datenanalyse, AWS SageMaker, Einheitliche Prüfung, Modell-Einsatz
★ 4.2 (607) · Fortgeschritten · Spezialisierung · 3–6 Monate

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

Kompetenzen, die Sie erwerben: LLM Application, Kubernetes, Systems Architecture, Large Language Modeling, Data Pipelines, Software Architecture, Software Design, Model Deployment, Application Deployment, Microservices, Apache Airflow, Containerization, Infrastructure Architecture, Cloud-Native Computing, Scalability, AWS CloudFormation, Managed Services, Azure DevOps, Open Source Technology, Diagram Design
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Cloud Infrastructure, Microsoft Azure, Infrastructure As A Service (IaaS), Data Processing, Big Data, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Databricks, Infrastructure Security, Data Pipelines, Virtual Networking, Azure DevOps, Virtual Machines, Azure Active Directory, Analytics, Active Directory, Network Security, Model Deployment, Python Programming, Role-Based Access Control (RBAC)
★ 4.4 (1588) · Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Anomaly Detection, MLOps (Machine Learning Operations), AI Security, Software Engineering, Model Training, DevOps, Software Quality Assurance, Maintainability, CI/CD, Model Deployment, Performance Tuning, Security Testing, Model Evaluation, Secure Coding, Performance Testing, Continuous Monitoring, Integration Testing, Data Validation, Sampling (Statistics), Python Programming
Mittel · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
★ 4 (496) · Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Role-Based Access Control (RBAC), Microsoft Azure, Virtual Machines, Virtualization and Virtual Machines, Infrastructure as Code (IaC), Azure Active Directory, Azure DevOps, Load Balancing, Virtual Networking, Active Directory, Identity and Access Management, Group Policy, User Provisioning, Infrastructure As A Service (IaaS), Cloud Storage, Cloud Management, Data Storage, Virtual Private Networks (VPN), Microsoft Access, Administrative Support
Mittel · Kurs · 3–6 Monate