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: Finite Element Methods, Simulation and Simulation Software, Simulations, Mathematical Modeling, Engineering Analysis, 3D Modeling, Scientific Visualization, Cloud Computing, Structural Analysis
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Responsible AI, Generative AI, Large Language Modeling, Artificial Intelligence, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Tensorflow, Information Privacy, Machine Learning, A/B Testing, Deep Learning, Version Control, Performance Tuning, Scalability
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Statistical Process Controls, Six Sigma Methodology, Quality Control, Plot (Graphics), Data Literacy, Statistical Analysis, R Programming
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Extract, Transform, Load, Data Architecture, Enterprise Architecture, Data Modeling, Data Migration, Data Warehousing, Database Architecture and Administration, Emerging Technologies, Data Processing, Data Storage, Data Management, Data Integration, Dataflow, Application Frameworks, Data Governance, Technology Strategies, Scalability
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Project Risk Management, Project Controls, Project Management, IT Infrastructure, Software Development Life Cycle, Information Technology, Project Portfolio Management, Project Scoping, Cloud Infrastructure, Environmental Social And Corporate Governance (ESG), Risk Management, Resource Management, IT Security Architecture, Agile Methodology, Scrum (Software Development), Change Control, Compliance Management, Waterfall Methodology
Anfänger · Kurs · 1–3 Monate

Duke University
Kompetenzen, die Sie erwerben: Serverless Computing, Amazon Web Services, Rust (Programming Language), Debugging, Application Deployment, Development Environment, Linux
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

The State University of New York
Kompetenzen, die Sie erwerben: Blockchain, Market Liquidity, FinTech, Financial Market, Cryptographic Protocols, Financial Systems, Governance, Financial Trading, Payment Systems, Financial Services, Digital Assets, Derivatives, Computing Platforms
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Adobe InDesign, Adobe Photoshop, Adobe Creative Cloud, Style Guides, Automation, Adobe Illustrator, Graphic Design, Typography, File Management
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Kubernetes, Role-Based Access Control (RBAC), DevSecOps, Infrastructure Security, Application Security, Hardening, Cloud Security, Network Security, Containerization, Security Testing, Security Controls, Docker (Software), Cyber Security Policies, Secure Coding, Identity and Access Management, Threat Detection, Encryption, Authentications, Verification And Validation
Fortgeschritten · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Wireless Networks, Network Planning And Design, Cloud Management, Network Infrastructure, Network Performance Management, Network Architecture, General Networking, Identity and Access Management, Network Troubleshooting, System Configuration
Mittel · Kurs · 1–4 Wochen

University of Colorado Boulder
Kompetenzen, die Sie erwerben: R Programming, Rmarkdown, Tidyverse (R Package), Ggplot2, Data Import/Export, Data Visualization, Data Analysis, Data Visualization Software, Data Science, Data Manipulation, Data Storytelling, Statistical Analysis, Data Cleansing, Data Integration, Data Transformation, Communication
Anfänger · Kurs · 1–4 Wochen

H2O.ai
Kompetenzen, die Sie erwerben: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data Management, Prompt Engineering, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Natural Language Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning, Data Processing
Mittel · Spezialisierung · 3–6 Monate