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.

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: GitHub Copilot, Model Context Protocol, GitHub, Responsible AI, Git (Version Control System), Model Evaluation, AI Integrations, Object-Relational Mapping, Package and Software Management, Restful API, Open Source Technology, CI/CD, AI Security, Security Controls, Generative AI, Agentic Workflows, Security Strategy, Enterprise Architecture, Automation Engineering, Machine Learning
★ 3.5 (6) · Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning Methods, Applied Machine Learning, Machine Learning, Data Science, Machine Learning Algorithms, Data Analysis Software, Statistical Methods, Histogram, Data Processing, Numerical Analysis, Data Import/Export, Linear Algebra, Probability Distribution, Classification Algorithms
★ 4.1 (11) · Anfänger · Kurs · 1–3 Monate

★ 4.7 (18) · Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Agile Project Management, Agile Methodology, Project Management Institute (PMI) Methodology, Business Priorities, Cost Estimation, Integrated Development Environments, Issue Tracking, Risk Analysis, Dashboard Creation, Stakeholder Engagement, Decision Making, Test Driven Development (TDD), Cross-Functional Team Leadership
★ 4.9 (25) · Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Box Plots, Data Science, Histogram, Data Presentation, Statistical Analysis, Statistical Methods, Statistical Visualization, Data Preprocessing, Descriptive Statistics, Probability & Statistics, Data Analysis, Data Visualization Software, Data-Driven Decision-Making, Bayesian Statistics, Applied Machine Learning, Scatter Plots, Scripting, Python Programming, Data Processing, Machine Learning Algorithms
★ 4.7 (16) · Gemischt · Kurs · 1–4 Wochen

★ 4.9 (15) · Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Natural Language Processing, Text Mining, Markov Model, Data Preprocessing, Python Programming, Applied Machine Learning, Classification Algorithms, Algorithms, Probability & Statistics, Dependency Analysis
★ 4.7 (6) · Mittel · Kurs · 1–3 Monate

Universidad Austral
Kompetenzen, die Sie erwerben: Natural Language Processing, Machine Learning Algorithms, Artificial Neural Networks, Machine Learning Methods, Tensorflow, Applied Machine Learning, Deep Learning, Model Training, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Algorithms, Network Architecture
★ 3.7 (10) · Anfänger · Kurs · 1–4 Wochen

Whizlabs
Kompetenzen, die Sie erwerben: AWS SageMaker, AWS Kinesis, Data Integration, Data Lakes, Business Intelligence Software, Business Intelligence, Apache Hive, Apache Spark, Amazon Web Services, Extract, Transform, Load, Big Data, Apache Hadoop, Real Time Data, Applied Machine Learning, Data Processing, Data Sharing, Serverless Computing, Data Transformation
★ 4.4 (10) · Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Cross-Functional Team Leadership, Executive Presence, Matrix Management, Team Performance Management, Cross-Functional Collaboration, Performance Management, Key Performance Indicators (KPIs), Performance Measurement, Crisis Management, Team Building, Project Management, Leadership, Employee Coaching, Influencing, Leadership Development, Team Management, Stakeholder Management, Organizational Development, Strategic Communication, Change Management
★ 4.1 (8) · Mittel · Spezialisierung · 3–6 Monate

L&T EduTech
Kompetenzen, die Sie erwerben: Gesundheitswesen 5.0, Aufkommende Technologien, Faltungsneuronale Netze, Python-Programmierung, Maschinelles Lernen, Internet der Dinge, Reinforcement Learning, AI-Integrationen, Verarbeitung natürlicher Sprache, Bewertung des Modells, Tiefes Lernen, Algorithmen für maschinelles Lernen, Künstliche Intelligenz, Unüberwachtes Lernen, Bildanalyse, Vorverarbeitung von Daten, Künstliche neuronale Netze
Mittel · Kurs · 1–3 Monate

Johns Hopkins University
Kompetenzen, die Sie erwerben: Intrusion Detection and Prevention, Model Evaluation, Incident Response, Threat Detection, Computer Security Incident Management, Cyber Threat Intelligence, Distributed Denial-Of-Service (DDoS) Attacks, Event Monitoring, Cybersecurity, Incident Management, Cyber Security Strategy, Threat Management, Model Training, Anomaly Detection, Continuous Monitoring, Cyber Security Policies, Security Management, System Monitoring, Network Analysis, Data Analysis
★ 4.8 (9) · Mittel · Spezialisierung · 3–6 Monate