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.

Real Madrid Graduate School Universidad Europea
Kompetenzen, die Sie erwerben: AI Personalization, Medical Equipment and Technology, AI Enablement, Healthcare Ethics, Risk Modeling, Health Systems, Gynecology, Artificial Intelligence and Machine Learning (AI/ML), Physical Stamina, Risking, Accident Prevention, Predictive Modeling, Pediatrics, Emerging Technologies, Load Balancing, Real Time Data, Health Education, Machine Learning, Child Health, Machine Learning Methods
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Optimization, Cloud Security, Stakeholder Communications, Stakeholder Management, Stakeholder Engagement, Risking, Data Ethics, Data Governance, Data Security, Enterprise Architecture, Dashboard Creation, Executive Presence, Security Architecture Review, Professional Development, Data Management, Software Architecture, Application Deployment, Continuous Deployment, Incident Management, IT Automation
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

University of Michigan
Kompetenzen, die Sie erwerben: Analyse sozialer Medien, Bewertung des Modells, Datenanalyse, Python-Programmierung, Analyse sozialer Netzwerke, Modellevaluation
Fortgeschritten · Kurs · 1–4 Wochen

Dartmouth College
Kompetenzen, die Sie erwerben: Operations Research, Analytics, Business Analytics, Process Optimization, Digital Transformation, Predictive Analytics, Data-Driven Decision-Making, Business Solutions, Model Optimization, Strategic Decision-Making, Data Science, Feature Engineering, Complex Problem Solving, Model Evaluation, Python Programming, Decision Making, Mathematical Software, Cloud Computing
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Cloud Computing Architecture, Google Cloud Platform, Looker (Software), Load Balancing, Dataflow, Kubernetes, Network Architecture, Cloud Engineering, Data Migration, Enterprise Architecture, Data Architecture, Data Infrastructure, Network Troubleshooting, Cloud Security, Network Monitoring, Cloud Infrastructure, Cloud Computing, Infrastructure as Code (IaC), Scalability, Key Management
Fortgeschritten · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Kubernetes, Cloud-Native Computing, Containerization, Amazon Web Services, Application Deployment, Amazon Elastic Compute Cloud, Cloud Infrastructure, Scenario Testing, Cloud Deployment, Network Troubleshooting, Ubuntu, System Configuration, Software Installation, Linux Commands, Command-Line Interface
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Structures, Graph Theory, Algorithms, Programming Principles, Computational Thinking
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Tableau Software, Dashboard, Data Visualization, Dashboard Creation, Business Intelligence, Interactive Data Visualization, Data Presentation, Business Intelligence Software, Presentations, Data Storytelling, Business Analytics, Data Visualization Software, Data Analysis, Advanced Analytics, Revenue Forecasting, Trend Analysis, Spatial Data Analysis, Forecasting, Data Cleansing, Data Preprocessing
Anfänger · Spezialisierung · 3–6 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Digital Transformation, Applied Machine Learning, Google Cloud Platform, Data Literacy, Big Data, Cloud Storage, Cloud Services, Looker (Software), Cloud Computing, Business Transformation, Customer Insights, Machine Learning, Analytics, Data Management, Data Lakes, Data Storage, Unstructured Data, Data Quality, Data Processing, AI Enablement
Anfänger · Kurs · 1–3 Monate

Dartmouth College
Kompetenzen, die Sie erwerben: Simulations, Simulation and Simulation Software, Analytics, Digital Transformation, Complex Problem Solving, Predictive Analytics, Data-Driven Decision-Making, Process Modeling, Verification And Validation, Probability, Process Optimization, Data Integration, Risk Management, Probability Distribution, Python Programming, Event-Driven Programming, Decision Making, Performance Analysis
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Prompt Engineering, Large Language Modeling, Prompt Patterns, Fine-tuning, Generative AI, Generative Model Architectures, LLM Application, Retrieval-Augmented Generation, Model Training, Natural Language Processing, Model Evaluation, Data Cleansing, Model Optimization
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Flutter (Software), Scalability, Code Reusability, Software Design, Application Design, Dataflow, Program Development, Computational Logic, Functional Design, Application Development, Computer Programming, Software Architecture, Web Applications, Automation, Data Analysis
Anfänger · Spezialisierung · 1–3 Monate