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: Snowflake Schema, Model Deployment, Data Pipelines, Pandas (Python Package), Data Import/Export, Data Transformation, Data Manipulation, Large Language Modeling, Data Processing, Containerization, Python Programming, MLOps (Machine Learning Operations), Application Deployment, Application Development, Data Science, Data Preprocessing, Cloud Computing, SQL, Model Training, Machine Learning
Mittel · Kurs · 1–3 Monate

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

Coursera
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Script Development, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Verification And Validation, Anomaly Detection, Data Integrity, Continuous Monitoring
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Data Management, AI Workflows, Model Training, Workflow Management, Data Governance, Google Cloud Platform, Model Evaluation, Data Pipelines, Model Optimization, Data Preprocessing, Tensorflow, Machine Learning, Feature Engineering
Mittel · Kurs · 1–3 Monate

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

Kompetenzen, die Sie erwerben: Docker (Software), CI/CD, Model Deployment, Cloud Deployment, Continuous Deployment, Application Performance Management, Continuous Integration, Google App Engine, Model Training, Site Reliability Engineering
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Software Documentation, Engineering Documentation, Technical Documentation, Model Training, Software Design Documents, Technical Writing, Generative Model Architectures, Technical Communication, Restful API
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Sample Size Determination, Data Strategy, Sampling (Statistics), Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Maintainability, Research and Design, Version Control, Software Documentation
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Integrity, Verification And Validation, Record Keeping, Reconciliation, Debugging, Auditing
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning, Data Preprocessing
Mittel · Kurs · 1–4 Wochen