ML-Kurse können Ihnen helfen zu lernen, wie Modelle entwickelt, trainiert und bewertet werden. Sie können Fähigkeiten in Algorithmen, Datenaufbereitung, Modelloptimierung und Analyse aufbauen. Viele Kurse stellen Python-Bibliotheken, Tools und Beispielprojekte vor.

Kompetenzen, die Sie erwerben: Graph Theory, Network Analysis, Network Model, Social Network Analysis, NoSQL, Data Store, Data Science, Query Languages, Visualization (Computer Graphics), Data Transformation, Big Data, Machine Learning Methods, Python Programming, Spatial Data Analysis, Deep Learning, Machine Learning, Machine Learning Algorithms, Quantum computing
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Optimization, Model Deployment, Model Training, AI Security, Benchmarking, Numerical Analysis, Process Optimization, Cloud Deployment, Keras (Neural Network Library), Network Model, Project Performance
Mittel · Kurs · 1–4 Wochen

Alex Genadinik
Kompetenzen, die Sie erwerben: Blockchain, FinTech, Digital Assets, Emerging Technologies, Financial Market, Payment Systems, Security Awareness
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Deployment, Responsible AI, No-Code Development, Business Metrics, Data Ethics, AI Personalization, AI Integrations, Return On Investment, Application Deployment, Customer experience improvement, Language Interpretation, Translation, and Studies, Performance Measurement, Product Improvement, Key Performance Indicators (KPIs), Cross Platform Development, Continuous Improvement Process, User Feedback, Customer Engagement, Systems Integration, System Design and Implementation
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Blockchain, Cryptography, Cybersecurity, Cyber Threat Intelligence, Enterprise Application Management, Cyber Attacks, Emerging Technologies, Financial Trading, Digital Assets, Cyber Security Assessment, Cryptographic Protocols, FinTech, Payment Systems, Security Testing, Auditing, Transaction Processing, Data Integrity
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Video Production, Digital pedagogy, Virtual Environment, User Interface and User Experience (UI/UX) Design, Virtual Reality, Teaching, User Experience Design, Education Software and Technology, User Centered Design, Adult Learning Principles, Student Engagement, Learning Styles, UI/UX Research, Online Advertising
Anfänger · Kurs · 1–3 Monate

Johns Hopkins University
Kompetenzen, die Sie erwerben: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Bayesian Statistics, Data Science, Simulations
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Real-Time Operating Systems, Embedded Software, Software Architecture, Code Reusability, Embedded Systems, Memory Management, Systems Architecture, Software Design, Software Design Patterns, Performance Tuning, Safety Assurance, Software Testing, Secure Coding, Scalability, Data Sharing
Mittel · Kurs · 1–4 Wochen

University of Leeds
Kompetenzen, die Sie erwerben: Integrated Development Environments, Debugging, Microsoft Visual Studio, Unit Testing, Software Development Tools, Computer Programming Tools, Testability, Program Development, Development Environment, Software Engineering Tools
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Scalability, Model Optimization, CI/CD, Continuous Deployment, Machine Learning Software, Continuous Delivery, Model Training, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Automation, Business Priorities, Performance Analysis, YAML
Fortgeschritten · Kurs · 1–4 Wochen

Microsoft
Kompetenzen, die Sie erwerben: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, Model Training, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Tensorflow, Image Analysis, Forecasting, Prototyping
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Cloud-Dienste, Microsoft Azure, Datenerfassung, Datenspeicherung, Geografische Informationen und Technologie, R Programmierung, Interaktive Datenvisualisierung, Web-Scraping, Daten in Echtzeit, Datenerhebung, Datenwrangling, Rmarkdown, R (Software), Cloud-Speicher, Anwendungsprogrammierschnittstelle (API), Datenmanipulation, Merkblatt (Software), Cloud-basierte Integration
Anfänger · Kurs · 1–3 Monate