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: MITRE ATT&CK Framework, AI Security, Cyber Security Strategy, Cybersecurity, Generative Model Architectures, Generative Adversarial Networks (GANs), Threat Detection, Responsible AI, Anomaly Detection, Data Ethics
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Optimization, 3D Modeling, 3D Assets, Computer Graphic Techniques, Computer Graphics, Virtual Reality
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Team Building, Scaled Agile Framework, Team Oriented, Agile Product Development, Project Management, AI Workflows, Plan Execution, Meeting Facilitation, Stakeholder Engagement
Anfänger · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Microsoft Excel, Excel Formulas, Data Entry, Microsoft Office, Spreadsheet Software, Productivity Software, Data Manipulation, Data Literacy, Decision Making, Data Presentation, Debugging
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Processing, Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Numerical Analysis, Exploratory Data Analysis, Data Cleansing, Data Structures
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Speicherverwaltung
Fortgeschritten · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Databricks, Generative AI, Prompt Engineering, Retrieval-Augmented Generation, Vector Databases, Context Engineering, Fine-tuning, LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Applied Machine Learning, Embeddings, Data Lakes, Model Evaluation, Model Optimization, Application Deployment, Acceptance Testing
Mittel · Kurs · 1–4 Wochen
Coursera
Kompetenzen, die Sie erwerben: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Cyber Governance, Infrastructure Security, Application Security, Security Controls, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Anomaly Detection, Data Integrity, Engineering
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Java Programming, Apache Maven, Machine Learning Software, MLOps (Machine Learning Operations), Package and Software Management, Applied Machine Learning, Process Driven Development, Dependency Analysis, Performance Tuning
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Responsible AI, Applied Machine Learning, Image Analysis, Machine Learning Algorithms, Generative AI, Machine Learning, Computer Vision, Microsoft Azure, Artificial Intelligence, AI literacy, Data Preprocessing, Natural Language Processing, OpenAI, Regression Analysis, Model Training, Data Ethics, Model Deployment, Model Evaluation, Feature Engineering
Anfänger · Kurs · 1–3 Monate

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: Banking, Project Finance, Banking Services, Cash Management, Commercial Banking, Commercial Lending, Working Capital, Corporate Finance, Lending and Underwriting, Loans, Financial Services, Relationship Management, Financial Management, Financial Analysis, Corporate Strategy, Cash Flows, Customer Relationship Management, Environmental Social And Corporate Governance (ESG), Business Relationship Management, Hedge Accounting
Gemischt · Kurs · 1–4 Wochen