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.

Johns Hopkins University
Kompetenzen, die Sie erwerben: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Docker (Software), CI/CD, Cloud Computing Architecture, Application Performance Management, Apache Spark, Google App Engine
Mittel · Kurs · 1–3 Monate

Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Cash Flow Forecasting, Responsible AI, Accounts Payable, Financial Forecasting, Cash Flows, Risk Management, Generative AI, Data Ethics, Accounting and Finance Software, No-Code Development, Financial Data, Business Process Automation, Forecasting, Accounts Receivable, Workflow Management, Regulatory Compliance, Compliance Training, International Financial Reporting Standards, ChatGPT, Automation
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: 3D Modeling, Unreal Engine, Virtual Environment, Computer Graphics, Augmented and Virtual Reality (AR/VR), UI Components, Game Design, Animation and Game Design, Prototyping, User Interface (UI), Scalability, Performance Tuning, Design
Anfänger · Kurs · 3–6 Monate

University of Pittsburgh
Kompetenzen, die Sie erwerben: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms
Auf einen Abschluss hinarbeiten
Anfänger · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Spring Framework, Cloud-Native Computing, Software Architecture, Microservices, Software Design Patterns, Event-Driven Programming, Java Programming, Restful API, Performance Tuning, MongoDB, Back-End Web Development, Application Programming Interface (API), Web Applications, Scalability, Real Time Data, Resilience, Integration Testing, Performance Management, Debugging
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Microsoft Azure, User Provisioning, Cloud Security, Azure Active Directory, Data Governance, DevSecOps, Data Management, Security Information and Event Management (SIEM), Identity and Access Management, Microsoft 365, Endpoint Security, Data Security, Zero Trust Network Access, Role-Based Access Control (RBAC), Multi-Factor Authentication, Authorization (Computing), Hybrid Cloud Computing, Microsoft Copilot, Encryption, Authentications
Fortgeschritten · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Active Directory, Software Installation, System Configuration, Microsoft Servers, Microsoft Intune (Mobile Device Management Software), Hyper-V, Enterprise Architecture, System Implementation, Configuration Management, IT Infrastructure, Mac OS, Virtual Machines, Microsoft Azure, System Requirements, Scalability
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: OSI Models, TCP/IP, Network Protocols, Linux, Dynamic Host Configuration Protocol (DHCP), Network Analysis, Linux Administration, Virtual Machines, General Networking, Virtualization and Virtual Machines, System Configuration, Computer Networking, Command-Line Interface
Mittel · Kurs · 1–4 Wochen

University of Washington
Kompetenzen, die Sie erwerben: Regression Analysis, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Feature Engineering, Python Programming, Linear Algebra, NumPy, Algorithms
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Distributed Denial-Of-Service (DDoS) Attacks, Network Security, Intrusion Detection and Prevention, Cybersecurity, Cyber Security Strategy, Threat Detection, Vulnerability Assessments, Firewall, Exploitation techniques, Human Factors (Security), Network Analysis
Mittel · Kurs · 1–4 Wochen