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: Model Evaluation, Keras (Neural Network Library), Software Documentation, Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Model Training, Deep Learning, Model Optimization, Applied Machine Learning, Network Architecture
Mittel · Kurs · 1–4 Wochen

Università di Napoli Federico II
Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Applied Machine Learning, Scikit Learn (Machine Learning Library)
★ 4.3 (9) · Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Cleansing, Data Transformation, Data Preprocessing, Data Wrangling, Data Quality, Feature Engineering, Data Validation, Pandas (Python Package), Data Integrity, Predictive Modeling, Exploratory Data Analysis, Quality Assurance, Descriptive Analytics, Technical Documentation
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Descriptive Statistics, Dashboard, Dashboard Creation, Histogram, Descriptive Analytics, Data Presentation, Data Storytelling, Exploratory Data Analysis, Tableau Software, Data Visualization, Data-Driven Decision-Making, Content Performance Analysis, Strategic Decision-Making, Data Quality, Performance Analysis, Stakeholder Analysis, Business Metrics, Performance Metric, Gap Analysis
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Responsible AI, Agentic Workflows, AI Workflows, AI Orchestration, Generative AI Agents, AI Enablement, Business Process Automation, Artificial Intelligence and Machine Learning (AI/ML), Workflow Management, LLM Application, Model Deployment, Artificial Intelligence, LangChain, Vector Databases, Agentic systems, Tool Calling, AI Security, AI Personalization, AI Product Strategy, Generative AI
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Data Pipelines, Apache Airflow, Data Integration, Cloud Deployment, Extract, Transform, Load, Cloud Computing, Data Infrastructure, Data Processing, Data Cleansing, Data Warehousing, Code Reusability
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: LLM Application, Large Language Modeling, Prompt Engineering, Model Optimization, Business Intelligence, Business Reporting, Model Training, Fine-tuning, Data Pipelines, Generative AI, Cost Benefit Analysis, Performance Analysis, Model Evaluation, Key Performance Indicators (KPIs), Quality Assessment
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Prompt Engineering, Prompt Engineering Tools, Prompt Patterns, Token Optimization, LLM Application, Tool Calling, OpenAI API, OpenAI, Anthropic Claude, Large Language Modeling, Authentications, Generative AI, Code Review, Maintainability, AI Workflows, AI Integrations, Command-Line Interface, Application Programming Interface (API), Software Documentation, Key Management
Mittel · Spezialisierung · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Serverless Computing, Amazon Web Services, Amazon S3, Rust (Programming Language), Other Programming Languages, Cloud-Native Computing, Cloud Deployment, Performance Tuning, Data Engineering, Computing Platforms, Event-Driven Programming, Performance Testing, Ruby (Programming Language), Cloud Computing, Development Environment, Application Deployment, Build Tools, Memory Management
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, LLM Application, Data Flow Diagrams (DFDs), Prompt Engineering, AI Integrations, Generative AI, Embeddings, Diagram Design, Large Language Modeling, Vector Databases, Data Pipelines, Applied Machine Learning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: System Monitoring, Data Quality, Performance Tuning, Apache Spark, Data Validation, Data Pipelines, Query Languages, Debugging, Data Transformation, Anomaly Detection, PySpark, Performance Analysis, Extract, Transform, Load, Failure Analysis, SQL, Data Architecture, Data Processing, Benchmarking, Root Cause Analysis, Distributed Computing
Fortgeschritten · Spezialisierung · 3–6 Monate

Coursera
Kompetenzen, die Sie erwerben: Process Mapping, Workflow Management, Business Workflow Analysis, Process Optimization, Process Analysis, Generative AI, Scripting, Return On Investment, AI Workflows, Slack (Software), Scripting Languages, Automation, Performance Measurement, Project Management Software, Business Process Automation, Performance Reporting, AI Integrations, Management Reporting, Project Management, Problem Solving
Anfänger · Kurs · 3–6 Monate