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: Selenium (Software), File I/O, Object Oriented Programming (OOP), Test Automation, Software Testing, Test Script Development, Programming Principles, Web Development Tools, Code Reusability, Scripting, Python Programming, Automation, Development Environment, Data Structures
★ 4.5 (6) · Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)
Mittel · Spezialisierung · 3–6 Monate

Coursera
Kompetenzen, die Sie erwerben: Vector Databases, Image Analysis, Applied Machine Learning, Embeddings, Docker (Software), Data Import/Export, Containerization, Retrieval-Augmented Generation, Query Languages, Model Evaluation, Database Design, Data Modeling, Verification And Validation
Mittel · Kurs · 1–4 Wochen

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: GitHub Copilot, Infrastructure as Code (IaC), Other Programming Languages, Terraform, Rust (Programming Language), Test Script Development, Ansible, Test Driven Development (TDD), GitHub, Test Automation, Dependency Analysis, AI Integrations, AI Workflows, Containerization, Test Tools, Docker (Software), Style Guides, Software Testing, Mockups
Anfänger · Kurs · 1–4 Wochen

Microsoft
Kompetenzen, die Sie erwerben: Data Literacy, Data Storytelling, Data-Driven Decision-Making, Cloud Solutions, Cloud Security, Statistical Modeling, Business Analytics, Infrastructure as Code (IaC), Team Oriented, Advanced Analytics, Virtual Machines, Data Mining, Hybrid Cloud Computing, System Monitoring, Enterprise Security, Data Processing, Data Manipulation, Statistical Software, Data Import/Export, Computer Programming
★ 4.5 (110) · Anfänger · Spezialisierung · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Extract, Transform, Load, Rust (Programming Language), Data Pipelines, JSON, Other Programming Languages, Data Import/Export, Data Transformation, Data Integrity, Testability, Data Validation, File I/O, Debugging, Data Quality, Software Testing, Record Keeping, Data Loss Prevention
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Systems Architecture, AI Workflows, Process Modeling, Model Based Systems Engineering, System Design and Implementation, Systems Analysis, Enterprise Modeling, Model Training, Diagram Design, Dataflow, MLOps (Machine Learning Operations), Requirements Management
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Responsible AI, AI Security, Generative AI, Data Ethics, Threat Modeling, General Data Protection Regulation (GDPR), Security Testing, Model Evaluation, Open Source Technology, Metadata Management, Data Integrity, Data Validation, Cryptographic Protocols
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
Fortgeschritten · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Classification And Regression Tree (CART), Dashboard Creation, Dashboard, Decision Intelligence, Descriptive Statistics, Root Cause Analysis, Data Analysis, Predictive Modeling, Advanced Analytics, Tableau Software, Scikit Learn (Machine Learning Library), Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Apache Spark, Keras (Neural Network Library), Retrieval-Augmented Generation, Reinforcement Learning, Apache Kafka, SQL
Mittel · Spezialisierung · 3–6 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Rust (Programming Language), Code Reusability, Command-Line Interface, Memory Management, API Design, Data Pipelines, Secure Coding, Development Environment, Build Tools, Package and Software Management, Debugging, Software Installation
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Vector Databases, Query Languages, Performance Tuning, Performance Analysis, Embeddings
Mittel · Kurs · 1–4 Wochen