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.

Kompetenzen, die Sie erwerben: Sample Size Determination, Data Strategy, Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Research and Design, Version Control, Software Documentation
Mittel · Kurs · 1–4 Wochen
Starweaver
Kompetenzen, die Sie erwerben: Cyber Threat Hunting, Splunk, Threat Detection, Jupyter, Anomaly Detection, Cybersecurity, Data Analysis, Data Science, Applied Machine Learning, Security Information and Event Management (SIEM), Pandas (Python Package), Interactive Data Visualization, Data Cleansing, Data Preprocessing, MLOps (Machine Learning Operations), Unsupervised Learning, Automation
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: AI Orchestration, Model Deployment, AI Workflows, Agentic Workflows, Generative AI Agents, Agentic systems, AI Security, Artificial Intelligence, Prompt Engineering, Generative AI, Product Support, OpenAI API, Retrieval-Augmented Generation
Fortgeschritten · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Google Gemini, Retrieval-Augmented Generation, Generative AI, AI Enablement, Enterprise Security, Agentic systems, Tool Calling, Artificial Intelligence, Customer experience improvement, LLM Application, Strategic Planning, Decision Making, Organizational Strategy, Cloud Infrastructure, Cloud Computing, Cloud Platforms, Innovation, MLOps (Machine Learning Operations), Collaboration
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: LangChain, LLM Application, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Python Programming, Containerization, System Monitoring, Cloud Platforms, Security Controls
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Threat Modeling, AI Security, DevSecOps, Security Testing, Continuous Monitoring, CI/CD, Threat Detection, Secure Coding, MITRE ATT&CK Framework, DevOps, System Monitoring, Application Security, Continuous Integration, MLOps (Machine Learning Operations), Scripting, Unit Testing, Test Case, Prompt Engineering, Integration Testing
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Threat Modeling, Data Loss Prevention, Mobile Security, DevSecOps, MLOps (Machine Learning Operations), Vulnerability Scanning, Incident Response, LLM Application, Security Engineering, Anomaly Detection, Application Security, Responsible AI, Security Controls, Data Security, CI/CD, Infrastructure Security, Continuous Monitoring, Penetration Testing, Process Optimization, Vulnerability Assessments
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, Prompt Engineering, ChatGPT, AI Enablement, AI Security, Cloud Development, AI Workflows, Data Ethics, Real Time Data, Large Language Modeling, Model Deployment, Cloud Computing Architecture, Artificial Intelligence, MLOps (Machine Learning Operations), Deep Learning, Scalability, System Monitoring
Anfänger · Kurs · 1–3 Monate

Microsoft
Kompetenzen, die Sie erwerben: Cloud Security, Data Management, Data Security, Clinical Data Management, Microsoft Azure, Health Technology, IT Security Architecture, AI Enablement, Image Analysis, Data Visualization Software, Personally Identifiable Information, Generative AI, Microsoft Teams, Machine Learning, Clinical Monitoring, General Data Protection Regulation (GDPR), Data Ethics, Information Privacy, Health Informatics, Medical Imaging
Anfänger · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Data Governance, General Data Protection Regulation (GDPR), Data Management, Data Strategy, Metadata Management, Data Architecture, Compliance Management, Data Storage Technologies, Data Integration, Cost Reduction, Data Maintenance, Data Processing, Information Privacy, Data Storage, MLOps (Machine Learning Operations), Data Quality, AI Enablement, Analytics, Extract, Transform, Load, Expense Management
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, System Monitoring, Verification And Validation, Legal Technology, Semantic Web, E-Commerce, Large Language Modeling, Data Validation, Unsupervised Learning, Data Manipulation, Dimensionality Reduction, Performance Metric, Cost Reduction
Mittel · Kurs · 1–4 Wochen