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: 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: Google Cloud Platform, Model Deployment, Tensorflow, Kubernetes, Scalability, Cloud Deployment, Image Analysis, Applied Machine Learning, Model Training, Cloud Computing, MLOps (Machine Learning Operations), Cloud Management, Cloud Storage, Data Management
Mittel · Projekt · Weniger als 2 Stunden

Google Cloud
Kompetenzen, die Sie erwerben: Cloud Computing, Model Deployment, Cloud Deployment, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Application Deployment, Continuous Deployment, Microservices, Load Balancing
Mittel · Projekt · Weniger als 2 Stunden

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

Kompetenzen, die Sie erwerben: Microsoft Azure, Datenwissenschaft, Maschinelles Lernen, MLOps (Operationen für maschinelles Lernen), Azure Synapse-Analytik, Apache Spark, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Datenverwaltung, Angewandtes maschinelles Lernen, Statistische Methoden, Modell-Einsatz, Datenmanagement, Statistische Modellierung, Datenvorverarbeitung, Modell Ausbildung, Cloud Computing, Vorverarbeitung von Daten, Datenverarbeitung, Datenspeicher, Entwicklungsumgebung
Mittel · Kurs · 1–4 Wochen

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Fine-tuning, CI/CD, Hugging Face, Continuous Deployment, Model Evaluation, Applied Machine Learning, Continuous Integration, Model Training, Transfer Learning, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Model Optimization, Data Pipelines, Natural Language Processing
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Diagram Design, Unified Modeling Language, Cloud Deployment, Model Deployment, Information Privacy, MLOps (Machine Learning Operations), Application Programming Interface (API), AI Product Strategy, Analysis, Data Pipelines, Cloud API, Feature Engineering, Cost Management, Performance Analysis, Business Risk Management
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

Packt
Kompetenzen, die Sie erwerben: Model Context Protocol, Docker (Software), Development Environment, LLM Application, Containerization, Large Language Modeling, Model Deployment, Hugging Face, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, OpenAI API, Application Deployment, Agentic Workflows, AI Integrations, Agentic systems, Jupyter
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Statistical Methods, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, 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