MLOps-Kurse

Kompetenzen, die Sie erwerben: Skalierbarkeit, Bewertung des Modells, MLOps (Operationen für maschinelles Lernen), Bereinigung von Daten, Infrastruktur-Architektur, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Daten-Pipelines, Künstliche Intelligenz, Anwendungs-Rahmenwerke, Vorverarbeitung von Daten, Maschinelles Lernen, AI-Arbeitsabläufe, Datenverwaltung, Bereitstellung von Anwendungen, Modell-Einsatz, Datensicherheit, AI-Integrationen, Daten-Infrastruktur

Kompetenzen, die Sie erwerben: Model Deployment, Google Cloud Platform, Natural Language Processing, Tensorflow, Model Optimization, Model Evaluation, MLOps (Machine Learning Operations), Computer Vision, Large Language Modeling, Reinforcement Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Keras (Neural Network Library), Systems Design, Applied Machine Learning, AI Personalization, Cloud Deployment, Machine Learning

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Training, Data Pipelines, Feature Engineering, Data Governance, Extract, Transform, Load, Enterprise Architecture, Solution Architecture, Dataflow, AI Security, Test Data, Model Evaluation, AI Workflows, AI Enablement, Data Processing, Data Quality, Operational Databases, Data Store, Software Documentation, Dependency Analysis

Kompetenzen, die Sie erwerben: Microsoft Azure, Azure DevOps, Cloud Management, Cloud Hosting, Cloud Engineering, Application Deployment, Azure DevOps Pipelines, MLOps (Machine Learning Operations), Cloud Computing, Cloud-Native Computing, DevOps, Containerization, Platform As A Service (PaaS), Cloud Services, Cloud Deployment, Database Administration, System Monitoring, Devops Tools, Databases, Cloud Security

Kompetenzen, die Sie erwerben: Kubernetes, AI Orchestration, Google Cloud Platform, AI Workflows, MLOps (Machine Learning Operations), Cloud-Native Computing, Containerization, Model Deployment, Infrastructure as Code (IaC), Terraform, Cloud Infrastructure, Distributed Computing, Multi-Tenant Cloud Environments, Cloud Deployment, Capacity Management, Infrastructure Architecture, Performance Tuning

Kompetenzen, die Sie erwerben: Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Embedded Software, Model Training, Embedded Systems, Machine Learning Software, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Responsible AI, Predictive Modeling, Artificial Intelligence, AI literacy, Machine Learning Methods, Anomaly Detection, AI Product Strategy, Prototyping, Product Development

Kompetenzen, die Sie erwerben: Responsible AI, AI Product Strategy, MLOps (Machine Learning Operations), LLM Application, Generative AI Agents, Generative AI, Enterprise Architecture, AI Workflows, Risking, Data Strategy, Model Deployment, Project Portfolio Management, Agentic systems, Agentic Workflows, Stakeholder Communications, Artificial Intelligence, Model Evaluation, Leadership, Strategic Leadership, Data Science

Kompetenzen, die Sie erwerben: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization

Kompetenzen, die Sie erwerben: Skalierbarkeit, Systemarchitektur, Bewertung des Modells, MLOps (Operationen für maschinelles Lernen), Modell Ausbildung, Abhängigkeitsanalyse, Verteiltes Rechnen, Daten-Pipelines, Tensorflow, AI-Arbeitsabläufe, Validierung von Daten, Qualität der Daten, Google Cloud-Plattform, Modell-Einsatz, Modell-Optimierung, Cloud-Bereitstellung, Leistungsoptimierung, Hybrides Cloud-Computing

Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), Azure DevOps Pipelines, Generative AI Agents, Generative AI, AI Orchestration, CI/CD, Continuous Deployment, LLM Application, Application Deployment, Release Management, Prompt Engineering, Enterprise Architecture, Cloud Deployment, Large Language Modeling, Model Evaluation, Software Development, Cloud Computing, Information Technology, Computer Science

Kompetenzen, die Sie erwerben: Generative AI, MLOps (Machine Learning Operations), Data Centers, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, AI Workflows, Data Infrastructure, Network Infrastructure, Model Deployment, Infrastructure Architecture, Generative Model Architectures, Cloud Deployment, Artificial Intelligence, AI Orchestration, Kubernetes, Network Architecture, Model Training, AI literacy, Hardware Architecture, Machine Learning

Kompetenzen, die Sie erwerben: MLOps (Operationen für maschinelles Lernen), Modell Ausbildung, Cloud-API, Tensorflow, Maschinelles Lernen, Methoden des maschinellen Lernens, Unstrukturierte Daten, Große Daten, Google Cloud-Plattform, Modell-Einsatz, Jupyter, Angewandtes maschinelles Lernen