
Kompetenzen, die Sie erwerben: KI-Kenntnisse, Data Warehousing, Erweiterte und virtuelle Realität (AR/VR), Abfragesprachen, Datenbank-Design, Datenarchitektur, Data Mining, Daten-Pipelines, Datenanalyse, Daten-Ethik, Generative Modellarchitekturen, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Daten-Synthese, ChatGPT, Schnelles Engineering, Verantwortungsvolle AI, Daten-Infrastruktur, Prompt-Muster, Generative KI, Auszug
Mittel · Spezialisierung · 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, Metadata Management, Data Storage, Data Quality, Data Cleansing, Machine Learning Methods
Mittel · Spezialisierung · 3–6 Monate

Coursera
Kompetenzen, die Sie erwerben: Extract, Transform, Load, Data Pipelines, Geospatial Information and Technology, Apache Airflow, Geospatial Mapping, Spatial Data Analysis, GIS Software, Cloud Computing, Geographic Information Systems, Leaflet (Software), Google Cloud Platform, Real Time Data, Global Positioning Systems, Data Transformation, Data Analysis, Anomaly Detection, Technical Communication, Machine Learning
Anfänger · Kurs · 3–6 Monate

KodeKloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Data Processing, Feature Engineering, CI/CD, Pandas (Python Package), Continuous Integration
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Paket- und Softwareverwaltung, Datenumwandlung, Instandhaltbarkeit, Einheitliche Prüfung, Python-Programmierung, Leitfäden, Daten-Pipelines, Web-Scraping, Integration von Daten, Integrierte Entwicklungsumgebungen, Grundsätze der Programmierung, Datenbanken, Anwendungsprogrammierschnittstelle (API), Datenbank Management, Datenbank-Management, Datenerfassung, Datenwrangling, Datenzugang, Einheitstest, Auszug
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Apache Airflow, Docker (Software), Git (Version Control System), SQL, Data Pipelines, Containerization, CI/CD, Debugging, Ansible, Database Management, Continuous Deployment, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, Automation, Configuration Management, Root Cause Analysis, Python Programming
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Data Modeling, Data Transformation, Database Design, Data Engineering, Dashboard, Dashboard Creation, Cloud Engineering, Analytics, Star Schema, Data Warehousing, Data Architecture, Data Integration, Extract, Transform, Load, Business Intelligence, Business Intelligence Software, Data Infrastructure, Data Analysis, Cloud Computing Architecture, Data Pipelines, Cloud Infrastructure
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Data Architecture, Real Time Data, Data Lakes, Capacity Management, Data Pipelines, PySpark, Transact-SQL, Apache Spark, Data Transformation, Data Security, Event Monitoring, Microsoft Copilot, Continuous Monitoring, Data Analysis, Workflow Management, SQL, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Warehouse Operations, Warehouse Management
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Apache Kafka, Real Time Data, Data Pipelines, Apache Spark, Scala Programming, Spring Boot, Java Programming, Development Environment, Apache, JSON, Data Processing, Information Architecture, Data Transformation, Solution Design, Content Management, Data Import/Export, Performance Tuning, Software Architecture, Data Validation, System Configuration
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Cloud Infrastructure, Data Modeling, Database Design, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Flow Diagrams (DFDs), Apache Airflow, Data Pipelines, Diagram Design, Data Mapping, Data Modeling, Data Integration, Data Architecture, Data Warehousing, Apache Spark, Extract, Transform, Load, Database Development, Data Processing, Data Transformation, Configuration Management, Enterprise Security
Anfänger · Kurs · 1–3 Monate

Northeastern University
Credits angeboten
Abschlusszertifikat · 6–12 Monate