Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Fine-tuning, Deep Learning, Vision Transformer (ViT), Transfer Learning, Convolutional Neural Networks, Model Optimization, Model Training, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Distributed Computing, Data Preprocessing, Embeddings, Memory Management

Kompetenzen, die Sie erwerben: Modell-Optimierung, Bewertung des Modells, Qualität der Daten, Modell-Einsatz, Maschinelles Lernen, MLOps (Operationen für maschinelles Lernen), Modell Ausbildung, Datenvalidierung, Methoden des maschinellen Lernens, Überwachtes Lernen, Angewandtes maschinelles Lernen, Modellevaluation, Feature Technik, Vorverarbeitung von Daten, Klassifizierungsalgorithmen, Validierung von Daten, Technische Merkmale, Verantwortungsvolle AI, Jupyter, Projektleitung, Statistisches maschinelles Lernen, Algorithmen für maschinelles Lernen, Datenqualität, Datenvorverarbeitung, Daten-Ethik

Kompetenzen, die Sie erwerben: Prompt Engineering, Responsible AI, Model Evaluation, Generative Model Architectures, Model Deployment, Generative AI, Model Training, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Data Governance, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Large Language Modeling, Data Ethics, Taxonomy, Natural Language Processing

Kompetenzen, die Sie erwerben: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls

Kompetenzen, die Sie erwerben: Databricks, Prompt Engineering, Generative AI, Retrieval-Augmented Generation, Vector Databases, Context Engineering, Fine-tuning, LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Applied Machine Learning, Embeddings, Data Lakes, Model Evaluation, Model Optimization, Application Deployment, Acceptance Testing

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), AI Product Strategy, Microsoft Azure, Microsoft Copilot, Decision Intelligence, Responsible AI, Business Metrics, Performance Measurement, Model Deployment, Cloud Management, Data Pipelines, AI Orchestration, Data Governance, Performance Metric, AI literacy, AI Workflows, Discussion Facilitation, Governance, Artificial Intelligence, Decision Making

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

Kompetenzen, die Sie erwerben: Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, AI Product Strategy, Product Management, Model Training, Product Lifecycle Management, Machine Learning Algorithms, Model Optimization, Applied Machine Learning, Decision Intelligence, Data Processing, Technical Product Management, Feature Engineering, Project Management, Machine Learning Methods, Machine Learning, Technical Management, Data Transformation

Kompetenzen, die Sie erwerben: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Deployment, Responsible AI, Large Language Modeling, Fine-tuning, MLOps (Machine Learning Operations), Multimodal Prompts, Prompt Patterns, Enterprise Application Management, Application Deployment, Model Optimization, AI Workflows, Model Evaluation, Data Management, Model Training, Generative AI, Embeddings, API Design

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

Kompetenzen, die Sie erwerben: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms

Kompetenzen, die Sie erwerben: Google Cloud Platform, Data Lakes, Data Pipelines, Dataflow, Data Processing, Apache Spark, Systems Design, Big Data, Extract, Transform, Load, Data Architecture, Data Warehousing, Model Deployment, Data Infrastructure, Apache Hadoop, Tensorflow, Real Time Data, Data Integration, Data Security, Data Quality, MLOps (Machine Learning Operations)