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: 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

Coursera
Kompetenzen, die Sie erwerben: Model Training, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Predictive Analytics, Technical Communication
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Scalability, Dashboard, Kubernetes, Capacity Management, Analysis, Performance Tuning, MLOps (Machine Learning Operations), Scenario Testing, Memory Management, Continuous Monitoring
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Product Lifecycle Management, Process Design, Process Mapping, Token Optimization, User Requirements Documents, MLOps (Machine Learning Operations), Operational Efficiency, Business Process Automation, Product Management, Large Language Modeling, Model Optimization, Process Driven Development, Cost Containment, Process Optimization, Key Performance Indicators (KPIs), Artificial Intelligence and Machine Learning (AI/ML)
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

Kompetenzen, die Sie erwerben: Model Deployment, Model Optimization, Model Training, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), AI Workflows, System Monitoring, Machine Learning Methods, Real Time Data, Continuous Monitoring, Applied Machine Learning, Data Preprocessing, Artificial Intelligence, Machine Learning
Mittel · Kurs · 1–4 Wochen

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, Sampling (Statistics), Data Validation, Python Programming
Mittel · Kurs · 1–3 Monate
Kompetenzen, die Sie erwerben: Model Evaluation, Decision Tree Learning, Classification Algorithms, Model Training, Applied Machine Learning, Java, Java Programming, Model Optimization, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Fine-tuning, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Algorithms
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Data Ethics, Responsible AI, Digital Transformation, Artificial Intelligence, Data Quality, Application Programming Interface (API), Cloud API, Applied Machine Learning, Model Deployment, Machine Learning, MLOps (Machine Learning Operations), Natural Language Processing
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, Logistic Regression, Model Training, Probability & Statistics, Model Evaluation, Statistical Software, Machine Learning Methods, Machine Learning Software
Gemischt · 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

Kompetenzen, die Sie erwerben: Generative AI, Generative AI Agents, Google Cloud Platform, Google Gemini, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Agentic Workflows, Prompt Engineering, Applied Machine Learning, Model Deployment, Model Training, Machine Learning, No-Code Development, Model Evaluation
Anfänger · Kurs · 1–3 Monate