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.

Google Cloud
Kompetenzen, die Sie erwerben: Daten-Pipelines, Google Cloud-Platform, Maschinelles Lernen, MLOps (Maschinelles Lernen Operations), Modell-Bereitstellung, Angewandtes maschinelles Lernen, Tensorflow
Mittel · Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Amazon Elastic Compute Cloud, Cloud Security, Data Management, Disaster Recovery, Continuous Monitoring
Anfänger · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: CI/CD, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Model Deployment, Tensorflow, Metadata Management, AI Orchestration, Containerization
Fortgeschritten · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Kubernetes, Metadata Management, Model Deployment, AI Orchestration, Model Evaluation, Containerization
Fortgeschritten · Kurs · 1–3 Monate

LearnKartS
Kompetenzen, die Sie erwerben: Prompt Engineering, Responsible AI, Prompt Engineering Tools, Computer Vision, Machine Learning Algorithms, Data Wrangling, Deep Learning, Artificial Intelligence, Cloud Security, Amazon Elastic Compute Cloud, Embeddings, Model Deployment, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Data Security, Amazon S3, Data Governance, Governance, Encryption, Public Cloud
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, OpenAI API, LangGraph, Model Deployment, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Generative Model Architectures, CI/CD, Embeddings, Text Mining, Containerization, Restful API, Open Source Technology, Data Preprocessing, Docker (Software)
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Apache Airflow, MLOps (Machine Learning Operations), User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Data Pipelines, PyTorch (Machine Learning Library), Miro AI, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control
Mittel · Spezialisierung · 3–6 Monate

Board Infinity
Kompetenzen, die Sie erwerben: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning
Mittel · Spezialisierung · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Responsible AI, Threat Modeling, MLOps (Machine Learning Operations), Security Testing, Secure Coding, Cost Management, Data Ethics, Data Governance, Experimentation, Prompt Engineering, Application Security, CI/CD, Automation, Financial Forecasting, Compliance Management, Governance, Technical Documentation, Vulnerability Assessments, Risk Management, Stakeholder Communications
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Machine Learning, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Model Evaluation, Health Informatics, Artificial Intelligence, Applied Machine Learning, Data Preprocessing, Computer Vision, Feature Engineering
Mittel · Kurs · 1–4 Wochen

Edureka
Kompetenzen, die Sie erwerben: Responsible AI, Data Storytelling, AI Workflows, Data Presentation, AI Enablement, Predictive Modeling, Decision Support Systems, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Decision Making, Business Analytics, Agentic systems, MLOps (Machine Learning Operations), Forecasting, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Data Security, Text Mining
Mittel · Spezialisierung · 1–3 Monate