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: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Data Presentation, Hugging Face, Token Optimization, LLM Application, CI/CD, Tensorflow
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Evaluation, Model Optimization, Transfer Learning, PyTorch (Machine Learning Library), Fine-tuning, Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Model Training, Image Analysis, Computer Vision, AI Workflows, Verification And Validation, Tensorflow, Dataflow, Image Quality, Application Deployment, Deep Learning, Process Optimization
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
Mittel · Spezialisierung · 3–6 Monate

Board Infinity
Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), Docker (Software), Containerization, Application Deployment, Restful API, API Design, Scalability, Application Programming Interface (API), Data Validation, Software Versioning, Performance Tuning
Mittel · Kurs · 1–4 Wochen

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, AWS SageMaker, AI Workflows, Retrieval-Augmented Generation, Shell Script, IT Automation, Unix Shell, Command-Line Interface, AI Integrations, AI Security, Prototyping, Large Language Modeling, Generative AI, Data Management, Anomaly Detection
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Responsible AI, AI Security, Threat Modeling, MLOps (Machine Learning Operations), Budget Management, Secure Coding, 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

Board Infinity
Kompetenzen, die Sie erwerben: AWS SageMaker, Serverless Computing, Google Cloud Platform, Cloud Deployment, Model Deployment, AI Integrations, Cloud Platforms, Cloud Computing, Amazon Web Services, Microsoft Azure, MLOps (Machine Learning Operations), Applied Machine Learning, Enterprise Architecture, Data Pipelines, Amazon S3, Scalability
Mittel · Kurs · 1–4 Wochen

Microsoft
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Microsoft Azure, Microsoft Copilot, AI Product Strategy, Responsible AI, Business Metrics, Performance Measurement, Model Deployment, Cloud Management, Data Pipelines, AI Orchestration, Data Governance, Performance Metric, AI Workflows, Performance Analysis, Return On Investment, Enterprise Architecture, Data Architecture, Agentic Workflows, Solution Architecture
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Continuous Integration, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Service Level Agreement, Performance Stress Testing, Performance Measurement, Performance Analysis
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning
Mittel · Spezialisierung · 1–3 Monate

Whizlabs
Kompetenzen, die Sie erwerben: AWS SageMaker, Amazon Bedrock, Generative AI, Generative AI Agents, MLOps (Machine Learning Operations), Retrieval-Augmented Generation, Prompt Engineering, Amazon Web Services, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Model Training, Agentic Workflows, Artificial Intelligence, Natural Language Processing, Model Deployment, Image Analysis, Computer Vision, Data Wrangling
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Continuous Integration, Software Testing, Model Training, CI/CD, Scalability, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)
Mittel · Spezialisierung · 1–3 Monate