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.

Coursera
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Performance Testing, Prompt Engineering, Generative AI Agents, Generative AI, Agentic Workflows, Performance Tuning, Model Evaluation, Verification And Validation, Large Language Modeling, MLOps (Machine Learning Operations), Embeddings
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, LLM Application, System Monitoring, Verification And Validation, Data Quality, Legal Technology, Semantic Web, Large Language Modeling, Data Validation, Continuous Monitoring, Performance Testing, Data Manipulation, Dimensionality Reduction, Cost Reduction
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks
Mittel · 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

Kompetenzen, die Sie erwerben: AWS SageMaker, AWS Kinesis, Amazon Web Services, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Model Training, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Cloud Storage, Data Storage, Data Security, Encryption, Key Management
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Prompt Engineering, Prompt Patterns, Token Optimization, LLM Application, MLOps (Machine Learning Operations), Retrieval-Augmented Generation, Technical Documentation, Performance Tuning, Large Language Modeling, Technical Writing, Model Optimization, Configuration Management, Performance Testing, Data Maintenance, Benchmarking, Requirements Analysis
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

Google Cloud
Kompetenzen, die Sie erwerben: Model Training, Google Cloud Platform, Data Processing, Document Management, MLOps (Machine Learning Operations)
Mittel · Projekt · Weniger als 2 Stunden

Coursera
Kompetenzen, die Sie erwerben: Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Applied Machine Learning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: LangChain, LLM Application, Prompt Patterns, Prompt Engineering, Model Deployment, Large Language Modeling, Token Optimization, Application Programming Interface (API), Application Deployment, Retrieval-Augmented Generation, LangGraph, OpenAI, Containerization, Continuous Deployment, Postman API Platform, Artificial Intelligence, Continuous Integration, Amazon Web Services, Authentications, Performance Analysis
Fortgeschritten · Kurs · 1–4 Wochen

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

Google Cloud
Kompetenzen, die Sie erwerben: Prompt Engineering, Google Cloud Platform, Generative AI Agents, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, AI Workflows, Model Deployment, Artificial Intelligence, Model Training, Applied Machine Learning, Machine Learning
Anfänger · Kurs · 1–3 Monate