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: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, CI/CD, Machine Learning Methods, Cloud Computing
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Duke University
Kompetenzen, die Sie erwerben: Modell Ausbildung, Produktmanagement, Unüberwachtes Lernen, Datenmanagement, Datenverwaltung, Projektleitung, Regressionsanalyse, Datenvorverarbeitung, MLOps (Operationen für maschinelles Lernen), Datenwissenschaft, Produktdesign, Datenqualität, Maschinelles Lernen, Modellevaluation, Tiefes Lernen, Vorverarbeitung von Daten, Benutzerfreundliches Design, Verantwortungsvolle AI, Bewertung des Modells, Design erleben, Daten-Ethik, Menschenzentriertes Design, Qualität der Daten, Modell-Einsatz
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Optimization, MLOps (Machine Learning Operations), Systems Architecture, Model Evaluation, Feature Engineering, AI Integrations, Image Analysis, Model Training, Model Deployment, Extract, Transform, Load, Systems Design, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Apache Spark, Natural Language Processing, Pandas (Python Package), Cloud Deployment, Machine Learning, Computer Vision, Computational Thinking
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Responsible AI, Operational Risk, Compliance Management, Governance Risk Management and Compliance, Regulatory Compliance, Risk Control, Risk Management Framework, Risk Analysis, Data Ethics, Risk Mitigation, Continuous Monitoring, Risk Management, Risk Modeling, Law, Regulation, and Compliance, Enterprise Risk Management (ERM), MLOps (Machine Learning Operations), Governance, Regulatory Requirements, Auditing, Artificial Intelligence and Machine Learning (AI/ML)
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Model Training, Image Analysis, Model Optimization, Computer Vision, Model Deployment, Image Quality, MLOps (Machine Learning Operations), Data Analysis, Deep Learning, Exploratory Data Analysis, Failure Analysis, Data Preprocessing, Workflow Management, AI Workflows, Data Transformation, Experimentation, Performance Analysis, Data Manipulation, Performance Metric
Mittel · Kurs · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Google Cloud Platform, Data Pipelines, Rust (Programming Language), Google App Engine, Containerization, Cloud-Based Integration, Data Engineering, Cloud API, Cloud Engineering, Cloud Management, Multi-Cloud, Cloud Infrastructure, DevOps, Serverless Computing, MLOps (Machine Learning Operations), Cloud Services, Cloud Platforms, Cloud Storage, Cloud Security, Cloud Computing Architecture
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Quality, Data Cleansing, Machine Learning Methods
Mittel · Spezialisierung · 3–6 Monate

Board Infinity
Kompetenzen, die Sie erwerben: Model Deployment, Generative AI, Large Language Modeling, Generative Model Architectures, PyTorch (Machine Learning Library), Fine-tuning, Application Deployment, Model Optimization, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Vision Transformer (ViT), Transfer Learning, Token Optimization, LLM Application, Hugging Face, Convolutional Neural Networks, Containerization, Model Training, Computer Vision
Mittel · Spezialisierung · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Feature Engineering, Model Optimization, Generative AI, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, Machine Learning Methods, MLOps (Machine Learning Operations), Google Cloud Platform, Model Evaluation, Data Cleansing, Data Quality, Cloud Computing
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Microservices, MLOps (Machine Learning Operations), Application Performance Management, AI Integrations, Site Reliability Engineering, AI Workflows, Continuous Monitoring, Performance Analysis, Event-Driven Programming
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
Mittel · Spezialisierung · 1–3 Monate