Cloud-Computing-Kurse können Ihnen helfen zu lernen, wie Rechenleistung, Speicher und Anwendungen über Cloud-Plattformen bereitgestellt werden. Sie können Fähigkeiten in Architekturgrundlagen, Sicherheit, Skalierung und Kostenoptimierung aufbauen. Viele Kurse stellen große Cloud-Anbieter, Verwaltungstools und typische Einsatzszenarien für moderne IT-Umgebungen vor.

Kompetenzen, die Sie erwerben: CI/CD, Cloud Deployment, Cloud Hosting, Cloud Storage, Continuous Deployment, Google Cloud Platform, Cloud Services, Application Deployment, Web Development, Web Design and Development, Web Frameworks, Web Development Tools
Anfänger · Projekt · Weniger als 2 Stunden

Google Cloud
Kompetenzen, die Sie erwerben: Identity and Access Management, Kubernetes, Cloud Security, Google Cloud Platform, Cloud Storage, Data Storage Technologies, Encryption, Data Access, Application Security, Cloud Computing, Cloud API, Cloud Management, Authorization (Computing), Data Security, Security Controls, Continuous Monitoring, Role-Based Access Control (RBAC), System Monitoring, Cryptography, Cloud Applications
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Training, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Algorithms, AWS SageMaker, Responsible AI, Applied Machine Learning, Model Optimization, Artificial Intelligence, Machine Learning, Prompt Engineering, Amazon Bedrock, Amazon Web Services, Data Ethics, Model Deployment, Supervised Learning, Computer Vision, AI Workflows, AI literacy, Image Analysis
Anfänger · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Cloud Deployment, Cloud Computing, Cloud Engineering, Cloud Solutions, Cloud Management, Google Cloud Platform, Cloud Platforms, Identity and Access Management, Cloud Services, Cloud Infrastructure, User Provisioning, Cloud Storage, System Monitoring
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Deployment, Dataflow, Google Cloud Platform, Dashboard Creation, Data Pipelines, Real Time Data, Data Lakes, Dashboard, Data Warehousing, Tensorflow, Data Preprocessing, Apache Spark, Big Data, Model Training, Extract, Transform, Load, Data Infrastructure, Applied Machine Learning, Cloud Engineering, Cloud Storage, MLOps (Machine Learning Operations)
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Google Cloud Platform, Data Integration, Data Processing, Extract, Transform, Load, Big Data, Data Import/Export, Analytics, Managed Services
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Serverless Computing, Application Programming Interface (API), Containerization, Google Cloud Platform, Google App Engine, Cloud Infrastructure, Cloud Applications, Hybrid Cloud Computing, Cloud Solutions, Cloud Platforms, API Gateway, Cloud API, Cloud Computing, Cloud Computing Architecture, Computing Platforms, Application Deployment, Cloud Deployment, Multi-Cloud, Leadership and Management, Finance
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Pipelines, Dataflow, Real Time Data, Google Cloud Platform, Data Processing, Extract, Transform, Load, Data Architecture, Software Design Patterns, Analytics, Data Storage Technologies, Data Transformation, Data Storage
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Google Cloud Platform, Google Gemini, Generative AI Agents, Generative AI, MLOps (Machine Learning Operations), Applied Machine Learning, AI Workflows, Artificial Intelligence, Model Training, Cloud Infrastructure, Big Data, Model Deployment, Data Infrastructure, Prompt Engineering, Large Language Modeling, Agentic Workflows, Natural Language Processing, Model Evaluation, Predictive Modeling, Cloud Storage
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Loss Prevention, Cloud Security, Personally Identifiable Information, Data Pipelines, Cloud-Based Integration, Cloud Storage, Data Security, Data Processing, Data Management, Data Transformation, Cloud Management, Data Storage Technologies, DevOps
Fortgeschritten · Projekt · Weniger als 2 Stunden

Google Cloud
Kompetenzen, die Sie erwerben: Dataflow, Data Pipelines, Real Time Data, Extract, Transform, Load, Google Cloud Platform, Apache Kafka, Applied Machine Learning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Data Transformation, Data Collection
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, Dataflow, Data Pipelines, Google Cloud Platform, Real Time Data, Data Lakes, Dashboard Creation, Data Governance, Data Import/Export, PySpark, Apache Kafka, Data Management, Tensorflow, Metadata Management, Apache Spark, Dashboard, Data Warehousing, Big Data, Extract, Transform, Load, Unstructured Data
Mittel · Spezialisierung · 3–6 Monate