Kompetenzen, die Sie erwerben: Responsible AI, Generative AI, Generative AI Agents, Prompt Engineering, Amazon Bedrock, AWS SageMaker, AI Product Strategy, Amazon Web Services, LLM Application, MLOps (Machine Learning Operations), Application Development, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Data Governance, Large Language Modeling, Commercialization, API Design, Solution Architecture, Data Management

Kompetenzen, die Sie erwerben: MLOps (Maschinelles Lernen Operations), Scikit Learn (Bibliothek für Maschinelles Lernen), Microsoft Azure, PySpark, Datenbausteine, Big Data, Explorative Datenanalyse, Deep Learning, Apache Spark, Angewandtes maschinelles Lernen, Maschinelles Lernen, Datenverarbeitung, Datenumwandlung

Kompetenzen, die Sie erwerben: Tensorflow, Google Cloud Platform, Cloud Infrastructure, Hardware Architecture, Application Deployment, Infrastructure Architecture, Infrastructure As A Service (IaaS), Cloud Computing Architecture, Performance Tuning, Computer Hardware, Computer Architecture, MLOps (Machine Learning Operations), Cloud Platforms, Business Workflow Analysis, Interoperability, Artificial Intelligence, Product Demonstration, Performance Improvement, Systems Architecture, Benchmarking

Kompetenzen, die Sie erwerben: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Google Cloud Platform, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, MLOps (Machine Learning Operations), Data Ethics, Artificial Neural Networks, Data Pipelines, Performance Tuning, Deep Learning, Data Transformation, Data Processing

Kompetenzen, die Sie erwerben: MLOps (Maschinelles Lernen Operations), Regressionsanalyse, Prädiktive Modellierung, Cloud Management, Verantwortungsvolle KI, Bereitstellung von Anwendungen, Datenbausteine, Scikit Learn (Bibliothek für Maschinelles Lernen), Microsoft Azure, Überwachtes Lernen, Künstliche Intelligenz und Maschinelles Lernen (KI/ML), Daten-Pipelines, Maschinelles Lernen, Unüberwachtes Lernen, Angewandtes maschinelles Lernen, Virtuelle Maschinen

Kompetenzen, die Sie erwerben: Responsible AI, Amazon Bedrock, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Large Language Modeling, Application Development

Kompetenzen, die Sie erwerben: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming

Kompetenzen, die Sie erwerben: Geschäftsstrategie, MLOps (Maschinelles Lernen Operations), Kommunikation mit Stakeholdern, Verantwortungsvolle KI, Systemintegration, Ethische Standards und Verhaltensweisen, Leistungsmetrik, Geschäftsbetrieb, Angewandtes maschinelles Lernen, Maschinelles Lernen, Risikominderung, Datenpflege

Kompetenzen, die Sie erwerben: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Unstructured Data, Data Processing, Cloud Engineering, Systems Design, Data Warehousing, Big Data, Data Infrastructure, Cloud Storage, Analytics, Database Development, Tensorflow, Data Visualization, Extract, Transform, Load, Dashboard

Kompetenzen, die Sie erwerben: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

Kompetenzen, die Sie erwerben: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability

Kompetenzen, die Sie erwerben: MLOps (Maschinelles Lernen Operations), Schnittstelle zur Anwendungsprogrammierung (API), Python-Programmierung, LLM-Bewerbung, Verantwortungsvolle KI, Schnelles Engineering, Modellierung großer Sprachen, Microsoft Azure, Cloud Computing, Bereitstellung von Anwendungen, Skalierbarkeit, OpenAI