Data-Engineering-Kurse können Ihnen helfen zu lernen, wie Datenpipelines aufgebaut, Systeme integriert und Daten effizient verarbeitet werden. Sie können Fähigkeiten in ETL-Prozessen, Datenmodellierung, Orchestrierung und Umgang mit großen Datenmengen aufbauen. Viele Kurse stellen Tools und Plattformen für moderne Dateninfrastrukturen vor.

University of California, Davis
Kompetenzen, die Sie erwerben: Responsive Web Design, Color Theory, Version Control, Typography, HTML and CSS, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), GitHub, Git (Version Control System), Web Design, Web Design and Development, Web Development, Software Versioning, Web Content Accessibility Guidelines, Front-End Web Development, AI Integrations, Application Deployment, Image Quality, Web Development Tools, User Interface (UI) Design
Anfänger · Spezialisierung · 3–6 Monate

JetBrains
Kompetenzen, die Sie erwerben: Kotlin, Java Programming, Java, IntelliJ IDEA, Android Development, Mobile Development, Object Oriented Programming (OOP), Integrated Development Environments, Software Design Patterns, Functional Design, Interoperability, Computer Programming, Programming Principles, Scripting, Unit Testing, Software Development, Development Environment, Code Review
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Generative AI, Responsible AI, Auditing, AI Product Strategy, Compliance Auditing, Generative Model Architectures, AI literacy, Internal Auditing, Risk Analysis, Risk Management, Artificial Intelligence, Risk Mitigation, Machine Learning Methods
Mittel · Kurs · 1–4 Wochen

Queen Mary University of London
Kompetenzen, die Sie erwerben: Qualitative Research, Proposal Development, Market Research, Research Reports, Data Collection, Research Design, Surveys, Research Methodologies, Analytics, Proposal Writing, Data Analysis, Digital Brand Strategy, Statistical Hypothesis Testing, Survey Creation, Digital Analysis, Statistical Analysis, Correlation Analysis, Business Research, Report Writing, Focus Group
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Deepseek, Prompt Engineering, OpenAI, Model Deployment, Large Language Modeling, Prompt Patterns, LLM Application, Model Training, Gemini, Generative Model Architectures, Model Optimization, Reinforcement Learning, Open Source Technology, Data Science
Mittel · Kurs · 1–4 Wochen

L&T EduTech
Kompetenzen, die Sie erwerben: Construction, Natural Resource Management, Sustainable Architecture, Environment and Resource Management, Sustainable Design, Building Design, Land Management, HVAC, Building Codes, Sustainable Engineering, Thermal Management, Sustainable Development, Energy and Utilities, Human Factors, Climate Change Mitigation
Mittel · Kurs · 1–4 Wochen

Arizona State University
Kompetenzen, die Sie erwerben: Prototyping, Product Testing, Engineering Design Process, Mockups, Product Development, Usability Testing, Conceptual Design, Manufacturing Processes, Materials science
Anfänger · Kurs · 1–4 Wochen

MathWorks
Kompetenzen, die Sie erwerben: Computer Vision, Model Evaluation, Image Analysis, Model Training, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Supervised Learning, Machine Learning Algorithms
Anfänger · Kurs · 1–4 Wochen

University of Colorado Boulder
Kompetenzen, die Sie erwerben: Control Systems, Simulation and Simulation Software, Numerical Analysis, Simulations, Engineering Analysis, Torque (Physics), Mathematical Modeling, Applied Mathematics
Fortgeschritten · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Large Language Modeling, Prompt Engineering, LLM Application, Generative AI
Anfänger · Kurs · 1–4 Wochen

University of Glasgow
Kompetenzen, die Sie erwerben: Model Training, Model Evaluation, Data Preprocessing, Machine Learning Methods, Statistical Methods, Machine Learning Software, Statistical Machine Learning, Data Validation, Data Processing, Data Quality, Mathematical Software, Classification Algorithms, Machine Learning Algorithms
Anfänger · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Feature Engineering, Model Optimization, Tensorflow, Machine Learning, Google Cloud Platform, Model Deployment, Data Preprocessing, Applied Machine Learning, Cloud Storage, Data Quality, Cloud Computing, Model Training, Keras (Neural Network Library), Machine Learning Algorithms, Embeddings, Fine-tuning, Supervised Learning, Deep Learning, Data Cleansing, Dataflow
Mittel · Spezialisierung · 3–6 Monate