Python-Kurse können Ihnen helfen zu lernen, wie Programme erstellt, Daten verarbeitet und Automatisierungen umgesetzt werden. Sie können Fähigkeiten in Syntax, Funktionen, Datenstrukturen und Bibliotheken aufbauen. Viele Kurse nutzen Beispiele, úbungen und Projekte, um Python anwendbar zu machen.

Kompetenzen, die Sie erwerben: Browser Compatibility, Performance Testing, Security Testing, Integration Testing, System Testing, API Testing, Development Environment, Software Testing, User Acceptance Testing (UAT), Acceptance Testing, Test Tools, Application Security, Test Automation, Responsive Web Design, Vulnerability Scanning, Web Applications, Docker (Software), User Interface (UI), Python Programming
Anfänger · Kurs · 1–4 Wochen

University of Pittsburgh
Kompetenzen, die Sie erwerben: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming
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Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Test Planning, Software Testing, Debugging, Test Case, Issue Tracking, Functional Testing, Unit Testing, Software Quality Assurance, System Testing, Test Tools, Acceptance Testing, Integration Testing, Test Driven Development (TDD), Test Automation, Regression Testing, Quality Assurance, Waterfall Methodology, Agile Methodology, Python Programming
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Unit Testing, Test Driven Development (TDD), Software Testing, Scalability, Dashboard, MLOps (Machine Learning Operations), Testability, Kubernetes, Version Control, Model Deployment, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Tensorflow, CI/CD, Containerization, Docker (Software), Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, LLM Application, LangChain, Model Deployment, Large Language Modeling, Microservices, Test Driven Development (TDD), Software Architecture, Scalability, Cloud Computing Architecture, MLOps (Machine Learning Operations), API Design, Site Reliability Engineering, Kubernetes, Prompt Engineering, Cloud Deployment, Containerization, Infrastructure as Code (IaC), Python Programming, Performance Analysis
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Test Driven Development (TDD), Unit Testing, Test Script Development, Behavior-Driven Development, API Testing, Code Coverage, Software Testing, Test Automation, Test Tools, Test Planning, Test Case, Maintainability, Software Quality Assurance, Application Programming Interface (API), Mockups, Python Programming
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: AI Workflows, Agentic Workflows, Prompt Patterns, Tool Calling, OpenAI API, Artificial Intelligence, Software Design Patterns, Prompt Engineering, Development Environment, Python Programming
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Software Engineering, Machine Learning Methods, Python Programming
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Data Quality, Data Transformation, Data Cleansing, Model Deployment, Applied Machine Learning, Failure Analysis, Data Pipelines, Tensorflow, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming
Mittel · Spezialisierung · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: AWS SageMaker, Systems Design, Cloud Computing Architecture, MLOps (Machine Learning Operations), Model Deployment, Cloud Computing, Network Architecture, API Design, Transfer Learning, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Performance Tuning, Model Evaluation, CI/CD, Data Pipelines, Software Engineering, Python Programming, Unit Testing, Data Validation
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Preprocessing, Computer Vision, Image Analysis, Real Time Data, Convolutional Neural Networks, Data Transformation, NumPy
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Algorithms, Model Evaluation, Applied Machine Learning, Performance Tuning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation
Mittel · Spezialisierung · 3–6 Monate