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 Arizona
Kompetenzen, die Sie erwerben: Physical Science, Physics, Engineering, Scientific, and Technical Instruments, Ancient History, Life Sciences, Chemistry, electromagnetics, General Science and Research, Scientific Methods, Research
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, AI literacy, Natural Language Processing, Robotics, Risk Mitigation
Anfänger · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Model Training, Machine Learning, Innovation, Critical Thinking
Anfänger · Kurs · 1–4 Wochen

University of California, Davis
Kompetenzen, die Sie erwerben: Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Literacy, Dashboard Creation, Data Ethics, Data Storytelling, Visualization (Computer Graphics), Dashboard, Tableau Software, Data Manipulation, Data Import/Export, Data Analysis, Analytical Skills
Anfänger · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Feature Engineering, Model Optimization, Generative AI Agents, Model Deployment, Tensorflow, Google Cloud Platform, Model Training, Keras (Neural Network Library), Machine Learning, Data Preprocessing, Prompt Engineering, Machine Learning Software, Machine Learning Methods, MLOps (Machine Learning Operations), Generative AI, Model Evaluation, Cloud Infrastructure, Prompt Engineering Tools, Data Cleansing, Cloud Computing
Mittel · Spezialisierung · 3–6 Monate

Vanderbilt University
Kompetenzen, die Sie erwerben: Prompt Engineering, ChatGPT, Prompt Patterns, Retrieval-Augmented Generation, AI powered creativity, Generative AI Agents, Ideation, Verification And Validation, Generative AI, LLM Application, AI literacy, OpenAI, OpenAI API, Expense Management, AI Personalization, Responsible AI, AI Enablement, Risking, Artificial Intelligence, Expense Reports
Anfänger · Spezialisierung · 1–3 Monate

University of Washington
Kompetenzen, die Sie erwerben: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Machine Learning, Model Training, Logistic Regression, Data Mining
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Structural Engineering, Structural Analysis, Mechanical Design, Mechanical Engineering, Mechanics, Materials science, Engineering Analysis, Engineering, Engineering Design Process, Engineering Calculations, Torque (Physics), Drafting and Engineering Design, Design Elements And Principles, Analysis, Mathematical Theory & Analysis, Design, Conceptual Design
Gemischt · Kurs · 1–4 Wochen

University at Buffalo
Kompetenzen, die Sie erwerben: Model Based Systems Engineering, Peer Review, Programmable Logic Controllers, Systems Engineering, Product Lifecycle Management, Intrusion Detection and Prevention, Security Controls, Performance Measurement, Control Systems, Collaborative Software, Continuous Monitoring, Anomaly Detection, Manufacturing and Production, Machine Controls, Incident Response, Digital Transformation, Cyber Attacks, Vulnerability Assessments, Cybersecurity, Manufacturing Operations
Anfänger · Spezialisierung · 3–6 Monate

DeepLearning.AI
Kompetenzen, die Sie erwerben: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis
Anfänger · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Embeddings, Feature Engineering, Model Training, Network Architecture
Mittel · Kurs · 1–4 Wochen

Stanford University
Kompetenzen, die Sie erwerben: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Clinical Research Ethics, Machine Learning Methods, Unstructured Data, Model Deployment, Health Informatics, Data Mining, Managed Care, Health Information Management, Model Evaluation, Responsible AI, Machine Learning, Artificial Intelligence
Anfänger · Spezialisierung · 3–6 Monate