Deep-Learning-Kurse können Ihnen helfen zu lernen, wie neuronale Netze aufgebaut, trainiert und bewertet werden. Sie können Fähigkeiten in Modellarchitekturen, Optimierung, Datenaufbereitung und Evaluationsmethoden aufbauen. Viele Kurse stellen Frameworks und Tools vor, die das Experimentieren mit tiefen Modellen unterstützen.

Edge Impulse
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI literacy, Machine Learning Methods, Anomaly Detection, Convolutional Neural Networks, Machine Learning, Cloud Computing, Internet Of Things, Product Engineering, Embedded Systems, Industrial Engineering, Data Science, Product Development
Anfänger · Kurs · 1–4 Wochen
Duke University
Kompetenzen, die Sie erwerben: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistical Methods, Statistics, Predictive Analytics, Data Modeling, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Model Training, R (Software), Statistical Programming, Correlation Analysis
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Command-Line Interface, Unix Commands, Remote Access Systems, Linux Commands, Unix Shell, Unix, System Configuration, Computer Hardware, Data Maintenance, Package and Software Management, Linux Administration, File Systems, Embedded Systems, USB, Operating Systems, File Management, Scripting, Peripheral Devices, Software Installation
Anfänger · Kurs · 3–6 Monate

Logical Operations
Kompetenzen, die Sie erwerben: R Programming, R (Software), Data Science, Data Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Regression Analysis, Statistical Visualization, Statistical Machine Learning, Plot (Graphics), Data Structures, Computer Programming, Decision Tree Learning, Machine Learning Methods, Machine Learning, Software Development, Computer Programming Tools, Data Import/Export, Machine Learning Algorithms
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Aktives Verzeichnis, Anwendungsentwicklung, Cloud-Dienste, Microsoft Azure, Dateiübertragungsprotokoll (FTP), Cloud-Speicher, Cloud-Anwendungen, Integration von Daten, Bereitstellung von Anwendungen, Cloud-Entwicklung, Technologien zur Datenspeicherung, Fehlersuche, Azure Active Directory, Beglaubigungen, Identitäts- und Zugangsmanagement, Cloud-Bereitstellung, Plattform als Dienstleistung (PaaS)
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Statistical Machine Learning, Recurrent Neural Networks (RNNs), Object Oriented Design, Convolutional Neural Networks, Machine Learning Methods, Plot (Graphics), Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Python Programming, Deep Learning
Anfänger · Spezialisierung · 3–6 Monate

Northeastern University
Kompetenzen, die Sie erwerben: Healthcare Ethics, Clinical Research Ethics, Electronic Medical Record, Medical Privacy, Business Ethics, Informed Consent, Medical Records, Ethical Standards And Conduct, Health Information Management, Health Care, Clinical Trials, Governance, Marketing Management, Law, Regulation, and Compliance, Decision Making, Analysis, Critical Thinking
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: AI Security, Threat Modeling, Open Web Application Security Project (OWASP), Security Testing, Retrieval-Augmented Generation, Software Architecture, API Design, Test Automation, Vulnerability Management, Agentic systems, Systems Design, Model Evaluation, Test Driven Development (TDD), CI/CD, Python Programming, Continuous Deployment, Dependency Analysis, Large Language Modeling, Machine Learning, Performance Analysis
Mittel · Spezialisierung · 3–6 Monate

University of Michigan
Kompetenzen, die Sie erwerben: Statistics, Correlation Analysis, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Dimensionalitätsreduktion, Generative KI, Datenanalyse, Datenmanipulation, Datenvisualisierung, Einbettungen, Prototyping, Python-Programmierung, OpenAI-API, OpenAI, AI-Personalisierung
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Responsible AI, Data Ethics, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Customer experience improvement, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, Telecommunications, Network Performance Management, Generative AI Agents, Emerging Technologies, Wireless Networks, Network Architecture, Computer Networking, Digital Communications, Network Protocols, System Design and Implementation, Communication
Fortgeschritten · Kurs · 1–3 Monate

University of Maryland, College Park
Kompetenzen, die Sie erwerben: Digital Transformation, Business Transformation, Customer experience strategy (CX), Data Strategy, Organizational Development, Business Modeling, Analytics, Organizational Change, Machine Learning Software, Technology Strategies, Innovation, Machine Learning, Business Strategy, Competitive Intelligence, Workforce Development, Strategic Decision-Making, Forecasting, Competitive Analysis, Process Optimization
Anfänger · Kurs · 1–3 Monate