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.

Coursera
Kompetenzen, die Sie erwerben: Vector Databases, Performance Tuning, Data Migration, Data Infrastructure, Infrastructure Architecture, Data Integrity, Scalability, Embeddings, Data Import/Export, Data Engineering, Database Management, MLOps (Machine Learning Operations), Scripting, Data Pipelines
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Anomaly Detection, Microsoft Azure, Event Monitoring, Application Performance Management, Incident Management, Time Series Analysis and Forecasting, Generative AI, Query Languages, Data Integration, Process Optimization, Data Analysis, User Feedback
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Robotic Process Automation, Business Process Automation, Automation, Debugging, Configuration Management, Transaction Processing
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Vision Transformer (ViT), Generative Model Architectures, Model Optimization, MLOps (Machine Learning Operations), Generative AI, AI Integrations, Large Language Modeling, Model Deployment, Model Training, Tensorflow, PyTorch (Machine Learning Library), Embeddings, Retrieval-Augmented Generation, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, Machine Learning
Mittel · Kurs · 1–4 Wochen

Simplilearn
Kompetenzen, die Sie erwerben: Network Troubleshooting, Performance Tuning, Docker (Software), Virtual Networking, Network Administration, Network Security, Network Performance Management, Containerization, Application Deployment, General Networking, Hardware Troubleshooting, Security Controls, Scenario Testing, Real Time Data
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Optimization, Cinematography, Post-Production, Computer Graphic Techniques, Virtual Environment
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Extract, Transform, Load, Data Pipelines, Apache Airflow, Spatial Data Analysis, GIS Software, Geospatial Information and Technology, Geographic Information Systems, Data Transformation, PostgreSQL, System Monitoring, Continuous Monitoring, Python Programming
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Model Deployment, Kubernetes, Containerization, LLM Application, Cloud-Native Computing, Application Deployment, Large Language Modeling, Release Management, MLOps (Machine Learning Operations), Configuration Management, Continuous Delivery, Scalability, Application Performance Management, Performance Tuning, Performance Analysis, Systems Analysis, Analysis, Data-Driven Decision-Making
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Analytical Skills, Statistical Methods, Exploratory Data Analysis, R (Software), Business Analytics, Data Analysis, Statistical Analysis, Data Visualization, Analytics, Statistical Visualization, R Programming, Analysis, Statistical Programming, Predictive Analytics, Statistical Modeling, Data Structures, Statistical Software, Time Series Analysis and Forecasting, Data Manipulation, Regression Analysis
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Team Performance Management, Team Building, Agile Software Development, Agile Product Development, Product Management
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Web-Design, Cascading Style Sheets (CSS), Benutzerfreundlichkeit, Hypertext Markup Language (HTML), Benutzeroberfläche (UI), Kreatives Design, Web-Entwicklung, Web-Design und Entwicklung, Benutzerfreundliches Design, HTML und CSS
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Jira (Software), Interviewing Skills, Agile Product Development, Action Oriented, Program Management, LinkedIn, Portfolio Management, Workflow Management, Storytelling
Anfänger · Kurs · 1–4 Wochen