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.

University of Colorado Boulder
Kompetenzen, die Sie erwerben: Penetration Testing, Network Security, Network Monitoring, Exploitation techniques, Virtual Private Networks (VPN), Cryptographic Protocols, Network Protocols, General Networking, Computer Networking, Command-Line Interface, Network Analysis, Proxy Servers
Auf einen Abschluss hinarbeiten
Mittel · Kurs · 1–3 Monate

University of Michigan
Kompetenzen, die Sie erwerben: Object Oriented Programming (OOP), Animation and Game Design, Interactive Data Visualization, Software Design, Data Structures, Visualization (Computer Graphics), Interactive Design, Programming Principles, Graphic and Visual Design, Python Programming, Generative AI, Simulations, Computer Graphics, Design, Computational Logic, Creative Design, Computer Programming, Computational Thinking, File I/O, Animations
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Deep Learning, Unsupervised Learning, Embeddings, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Flask (Web Framework)
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging
Gemischt · Kurs · 1–3 Monate

Simplilearn
Kompetenzen, die Sie erwerben: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis
Anfänger · Spezialisierung · 1–3 Monate
University of London
Kompetenzen, die Sie erwerben: Applied Machine Learning, Model Evaluation, Artificial Intelligence, Machine Learning, Computer Vision, Data Preprocessing
Anfänger · Kurs · 1–4 Wochen

University of Pittsburgh
Kompetenzen, die Sie erwerben: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Auf einen Abschluss hinarbeiten
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Cryptography, Encryption, Cyber Security Assessment, Brute-force attacks, Python Programming, Programming Principles, Scripting, Algorithms, Data Structures, File I/O, File Management
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: AI Security, Large Language Modeling, Cybersecurity, Prompt Engineering, Cyber Security Strategy, Threat Modeling, Cyber Security Assessment, Risk Analysis, Application Security, Vulnerability Assessments, Network Security
Anfänger · Kurs · 1–4 Wochen

University of Michigan
Kompetenzen, die Sie erwerben: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Large Language Modeling, LLM Application, Development Environment, Multimodal Prompts, Embeddings, Vector Databases, User Interface (UI), Generative AI, AI Workflows, AI Personalization, Prompt Engineering, Agentic systems, Data Visualization, Image Analysis, Application Development, Augmented Reality, Text Mining, Graph Theory, Query Languages
Mittel · Spezialisierung · 3–6 Monate