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.

The State University of New York
★ 4.9 (10) · Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Team Performance Management, Generative AI Agents, Gap Analysis, Management Training And Development, Workforce Development, People Development, Training Programs, Training and Development, AI Enablement, Employee Training, Talent Management, Team Management, Performance Analysis, Job Analysis, Needs Assessment
★ 4.7 (34) · Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Generally Accepted Accounting Principles (GAAP), Revenue Recognition, Financial Accounting, Standard Accounting Practices, Technical Accounting, Financial Reporting, Financial Statements, Equities, Consolidation
★ 4.7 (23) · Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Cryptography, Encryption, Cybersecurity, Brute-force attacks, Python Programming, Key Management, Programming Principles, File I/O, Computational Logic, Program Development, Algorithms, Debugging, Code Reusability, Scripting, Data Mapping, Software Testing, User Interface (UI), UI Components, Data Structures, Application Development
★ 4.9 (14) · Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Program Development, Python Programming, Jupyter, Interactive Design, Code Reusability, Mathematical Software, Algorithms, Computer Programming, Programming Principles, Algebra, Linear Algebra, Applied Mathematics, Object Oriented Programming (OOP)
★ 4.8 (36) · Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Northeastern University
Kompetenzen, die Sie erwerben: Generative KI, Datenerfassung, Maschinelles Lernen, Überwachtes Lernen, Prädiktive Analytik, Künstliche Intelligenz, KI-Kenntnisse, AI-Personalisierung, Modellierung großer Sprachen, Verantwortungsvolle AI, Kenntnisse der Gesundheitsbranche, Datenerhebung, Gesundheitsinformatik, Generative Modellarchitekturen, Ethik im Gesundheitswesen, Daten-Ethik
★ 3.2 (6) · Gemischt · Kurs · 1–4 Wochen

LearnKartS
Kompetenzen, die Sie erwerben: Docker (Software), Containerization, Devops Tools, Application Deployment, Ubuntu, Software Installation, OS Process Management, Package and Software Management, Application Lifecycle Management, Command-Line Interface
★ 3 (20) · Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Cucumber (Software), API Testing, Gherkin (Scripting Language), Behavior-Driven Development, JSON, Restful API, Apache Maven, Application Programming Interface (API), Test Tools, Test Case, Test Planning, Software Testing, Test Engineering, Test Script Development, Security Testing, Test Automation, Code Coverage, Authentications, Java Programming, Java
★ 4.9 (47) · Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Debugging, Integrated Development Environments, Data Validation, Web Applications, Scripting, Object Oriented Design, Development Environment, Object Oriented Programming (OOP), Application Development, Code Reusability, Django (Web Framework), Web Development Tools, Software Testing, Web Development, Customer Data Management, Data Structures, Program Development, Python Programming, Record Keeping, Programming Principles
★ 4.9 (49) · Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Linux, Linux Administration, File Systems, Remote Access Systems, Operating System Administration, Linux Commands, File Management, System Configuration, Unix, Software Installation, Command-Line Interface, Operating Systems, Virtualization and Virtual Machines, Systems Administration, Authorization (Computing), Virtualization, Virtual Machines, Open Source Technology, VPN Clients, User Accounts
★ 4.8 (8) · Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Large Language Modeling, LLM Application, Fine-tuning, Model Deployment, Model Training, Transfer Learning, Generative Model Architectures, Prompt Engineering, Model Optimization, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), AI Security, Responsible AI, Scalability, Machine Learning
Fortgeschritten · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Model Optimization, Scikit Learn (Machine Learning Library), Data Preprocessing, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation
Mittel · Kurs · 1–4 Wochen