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: Data Preprocessing, Applied Machine Learning, Feature Engineering, Digital Signal Processing, Data Transformation, Model Evaluation, Time Series Analysis and Forecasting, Data Pipelines, Data Manipulation, Data Wrangling, System Design and Implementation, NumPy
Mittel · Kurs · 1–4 Wochen

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

Microsoft
Kompetenzen, die Sie erwerben: Generative AI, Responsible AI, Generative Model Architectures, Prompt Engineering, Generative Adversarial Networks (GANs), MLOps (Machine Learning Operations), AI Security, Multimodal Prompts, Data Ethics, AI Workflows, Microsoft Azure, ChatGPT, AI Orchestration, Model Deployment, Version Control, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Software Documentation, Application Lifecycle Management, Python Programming
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

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

Packt
Kompetenzen, die Sie erwerben: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Database Management Systems, Python Programming, Analysis, Data Import/Export
Mittel · Kurs · 1–3 Monate

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
Auf einen Abschluss hinarbeiten
Mittel · Kurs · 1–4 Wochen

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

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

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

University of Washington
Kompetenzen, die Sie erwerben: Verteiltes Rechnen, Unüberwachtes Lernen, Datenstrukturen, Text Mining, Wahrscheinlichkeitsverteilung, Algorithmen, Algorithmen für maschinelles Lernen, Statistische Inferenz, Statistisches maschinelles Lernen, Unstrukturierte Daten, Skalierbarkeit, Data-Mining, Maschinelles Lernen, Angewandtes maschinelles Lernen, Bayessche Statistik, Statistische Modellierung
Gemischt · Kurs · 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