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: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Data Access, Apache, Python Programming
Anfänger · Spezialisierung · 1–3 Monate

Duke University
Kompetenzen, die Sie erwerben: File I/O, Memory Management, Maintainability, C (Programming Language), Software Engineering, System Programming, Programming Principles, Software Development, Simulations, Command-Line Interface, Collaborative Software
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Back-End Web Development, Django (Web Framework), Version Control, Git (Version Control System), API Testing, Web Development, Authentications, API Design, Application Development, Application Programming Interface (API), Restful API, Unit Testing, Test Tools, Database Development, MySQL, User Accounts, Web Applications, Databases
Mittel · Kurs · 1–4 Wochen

University of Michigan
Kompetenzen, die Sie erwerben: Instructional Design, Adult Learning Principles, Teaching, Education Software and Technology, Learning Theory, Health Education, Digital pedagogy, Learning Styles, Clinical Practices, Technology Strategies, Liberal Arts
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Analysis
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: AWS SageMaker, Amazon Web Services, Model Deployment, Image Analysis, Applied Machine Learning, Model Training, Machine Learning Algorithms, Data Preprocessing, Computer Vision, Deep Learning, Machine Learning
Fortgeschritten · angeleitetes Projekt · Weniger als 2 Stunden

Google Cloud
Kompetenzen, die Sie erwerben: Analytics, Data Analysis, Google Cloud Platform, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Machine Learning Methods, Model Deployment
Anfänger · Kurs · 1–4 Wochen

University of Michigan
Kompetenzen, die Sie erwerben: Diversity Programs, Diversity Awareness, Higher Education, Diversity Training, Diversity Equity and Inclusion Initiatives, Leadership, Workplace inclusivity, Initiative and Leadership, Cultural Diversity, Social Justice, Cultural Responsiveness, Public Affairs, Accountability, Advocacy, Student Engagement
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Storytelling, Data Presentation, SQL, Data Visualization Software, Database Design, AWS SageMaker, Unsupervised Learning, Data Visualization, Interactive Data Visualization, Dashboard, Feature Engineering, Database Management, Exploratory Data Analysis, A/B Testing, Tableau Software, Pandas (Python Package), Matplotlib, Python Programming, Data Analysis, Machine Learning
Anfänger · Berufsbezogenes Zertifikat · 3–6 Monate

University of London
Kompetenzen, die Sie erwerben: Pseudocode, C++ (Programming Language), Object Oriented Programming (OOP), C and C++, Object Oriented Design, File I/O, Integrated Development Environments, Computer Programming, Development Environment, Programming Principles, Data Structures, Program Development, Algorithms, Interactive Design, Data Modeling, FinTech, Application Development, Software Engineering, Test Data, Verification And Validation
Auf einen Abschluss hinarbeiten
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Scikit Learn (Machine Learning Library), Predictive Modeling, Tensorflow, Cloud Computing, Statistical Machine Learning, Machine Learning Software, Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Python Programming, Model Training, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Model Optimization, Scientific Visualization
Mittel · angeleitetes Projekt · Weniger als 2 Stunden