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: Fine-tuning, Model Evaluation, Context Engineering, LLM Application, Token Optimization, Large Language Modeling, Hugging Face, Transfer Learning, Model Optimization, Model Training, Context Management
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Google Cloud Platform, Analytics, Systems Design, Data Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Model Deployment, Data Pipelines, Data Infrastructure, Data Quality, Cloud Security
Fortgeschritten · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Model Deployment, Multi-Cloud, Cloud Security, AI Security, MLOps (Machine Learning Operations), DevSecOps, Cloud Management, Security Architecture Review, Microservices, Site Reliability Engineering, Security Controls, CI/CD, System Monitoring, Infrastructure as Code (IaC), Compliance Management, Automation, Kubernetes, Docker (Software), Incident Management, Performance Analysis
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Fine-tuning, ChatGPT, Generative Model Architectures, Cloud Deployment, AI Workflows, Application Performance Management, Semantic Web
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Program Evaluation, Performance Metric, Agile Project Management, Data Analysis, Agile Methodology, Project Management, Analytics, Stakeholder Communications, Project Performance, Data-Driven Decision-Making, AI Integrations, Machine Learning, Large Language Modeling, R Programming, Data Visualization
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Process Driven Development, Data Processing, Systems Design, Statistical Reporting, Data Pipelines, Interactive Data Visualization, Data Infrastructure, Data Quality, Data Presentation, MLOps (Machine Learning Operations), Google Cloud Platform, Applied Machine Learning, Data Modeling, Model Deployment, Data Integrity, Data Management, Model Training, Big Data, Cloud Security
Fortgeschritten · Kurs · 1–3 Monate

Simplilearn
Kompetenzen, die Sie erwerben: Modell-Optimierung, Modell Ausbildung, Feinabstimmung, Vorverarbeitung von Daten, Verantwortungsvolle AI, Reinforcement Learning, Modell-Einsatz, LangChain, Modellierung großer Sprachen, Bewertung des Modells, LLM-Bewerbung, Datenvorverarbeitung, Modellevaluation, OpenAI
★ 3.5 (6) · Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Model Deployment, Applied Machine Learning, Jupyter, Transfer Learning, Model Training, Data Pipelines, Machine Learning, Artificial Intelligence
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: AI Product Strategy, AI Personalization, Product Management, Commercialization, Model Training, Technical Product Management, Product Lifecycle Management, Design and Product, Model Deployment, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Product Strategy, User Interface and User Experience (UI/UX) Design, Product Design, Infrastructure Architecture, Responsible AI, AI literacy, Data-Driven Decision-Making, Deep Learning
Anfänger · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Optimization, Cloud Security, Stakeholder Communications, Stakeholder Management, Stakeholder Engagement, Risking, Data Ethics, Data Governance, Data Security, Enterprise Architecture, Dashboard Creation, Executive Presence, Security Architecture Review, Professional Development, Data Management, Software Architecture, Application Deployment, Continuous Deployment, Incident Management, IT Automation
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Tensorflow, Machine Learning Methods, Model Deployment, Data Pipelines, Model Training, Applied Machine Learning, Transfer Learning, Big Data, Machine Learning, Jupyter, Analytics, Artificial Intelligence
★ 4.8 (12) · Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Training, Model Deployment, Exploratory Data Analysis, Data Engineering, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Data Wrangling, Model Optimization, Amazon Redshift, Machine Learning Software, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, AWS Kinesis, Data Pipelines, Extract, Transform, Load
Mittel · Kurs · 1–4 Wochen