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.

Knowledge Accelerators
Kompetenzen, die Sie erwerben: Change Management, Organizational Change, Business Transformation, Culture Transformation, People Management, Communication Strategies, Organizational Leadership, Strategic Communication, Performance Metric, Learning Theory, Leadership Development, Team Leadership, Adaptability, Influencing, Stakeholder Management, Process Improvement, Employee Engagement, Stakeholder Engagement, Business Planning
Anfänger · Kurs · Weniger als 2 Stunden

Automatic Data Processing, Inc. (ADP)
Kompetenzen, die Sie erwerben: Recognizing Others, People Development, Leadership Development, Professional Development, Team Motivation, Team Leadership, Team Management, Empathy, Self-Awareness, Employee Engagement, Open Mindset, Storytelling, Mindfulness
★ 4.9 (8) · Anfänger · Kurs · 1–4 Wochen
Scrum Alliance
Kompetenzen, die Sie erwerben: Coaching, Employee Coaching, Agile Product Development, Agile Methodology, Agile Project Management, Agile Software Development, Team Management, Team Leadership, Collaboration, Culture Transformation, Organizational Leadership, Business Transformation, Leadership, Organizational Effectiveness, Leadership and Management, Organizational Change, Management Consulting, Business, Communication, Business Communication
★ 3.7 (6) · Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Apache Kafka, Real Time Data, Data Pipelines, Apache Spark, Scala Programming, Spring Boot, Java Programming, Development Environment, Apache, JSON, Data Transformation, Solution Design, Data Processing, Query Languages, Performance Tuning, Software Architecture, Data Validation, Software Installation
★ 4.8 (6) · Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Web-Anwendungen, Kommunikation, Web-Entwicklung, Umwelt, Apache, Skripting, Server-Seite, Anwendungsentwicklung, Web-Inhalt, Test-Tools, Entwicklung von Testskripten, Java, Tools erstellen, Plattformübergreifende Entwicklung, Entwicklungstests, Verwaltung der Anwendungsleistung, Web-Entwicklungs-Tools, Verlässlichkeit
★ 4.9 (21) · Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Data Governance, Prompt Engineering, Continuous Deployment, Generative AI, System Monitoring, CI/CD, Responsible AI, Automation, DevOps, Compliance Management, Performance Tuning, Data Pipelines, Kubernetes, Docker (Software), Containerization, Data Security, Risk Management, Dashboard, Cloud Platforms
Mittel · Spezialisierung · 3–6 Monate
University of Michigan
Kompetenzen, die Sie erwerben: SQL, Database Management, Relational Databases, Databases, Database Design, Query Languages, Data Visualization, Web Scraping, Interactive Data Visualization, Data Processing, Object Oriented Programming (OOP), Object Oriented Design, Data Modeling, Geospatial Mapping, Data Storage, Python Programming, Data Collection
Gemischt · Kurs · 1–3 Monate

AI CERTs
Kompetenzen, die Sie erwerben: No-Code-Entwicklung, AI-Arbeitsabläufe, Back-End-Webentwicklung, Anwendungsprogrammierschnittstelle (API), Front-End-Webentwicklung, Full-Stack Web-Entwicklung, Anwendungsdesign, Vibe-Codierung, Fehlersuche
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Deployment, Data Cleansing, Data Transformation, Data Preprocessing, Data Storytelling, Feature Engineering, AWS SageMaker, AI Integrations, Systems Architecture, Solution Architecture, Model Optimization, Cloud Computing Architecture, Scalability, MLOps (Machine Learning Operations), System Design and Implementation, Kubernetes, Data Engineering, Cloud Infrastructure, Docker (Software), Prometheus (Software)
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Statistical Modeling, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Predictive Analytics, Probability, Model Evaluation
★ 4.4 (7) · Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Probability & Statistics, Transfer Learning, NumPy, Matplotlib, Model Training, Model Optimization, Convolutional Neural Networks, Deep Learning, Applied Machine Learning, Statistics, Data Visualization, Keras (Neural Network Library), Statistical Hypothesis Testing, Fine-tuning, Machine Learning Methods, Python Programming
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Computer Vision, Applied Machine Learning, Digital Signal Processing
Mittel · Kurs · 1–4 Wochen