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.

AI CERTs
Kompetenzen, die Sie erwerben: Responsible AI, Agentic Workflows, Risking, Generative AI Agents, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Power BI, AI Workflows, Accounting and Finance Software, Regulatory Compliance, Automation, Financial Data, Wealth Management, Compliance Management, Generative AI, Financial Forecasting, Data Processing, Finance, Workflow Management, General Finance
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, AI Orchestration, Model Deployment, Cloud Deployment, Vector Databases
Mittel · Kurs · 1–3 Monate

University of Pittsburgh
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, LLM Application, Tool Calling, Data Visualization, Predictive Modeling, Database Design, Large Language Modeling, Database Management, Databases, Model Evaluation, Web Services, Data Ethics, Apache Spark, Bayesian Statistics, NoSQL, Data Visualization Software, Linear Algebra, Data Governance, Regression Analysis, Data Analysis
Erwerben Sie ein Zertifikat
Abschluss · 1–4 Jahre

Kompetenzen, die Sie erwerben: AI Orchestration, AI Workflows, LangGraph, Generative AI Agents, Agentic systems, OpenAI API, Enterprise Application Management, Tool Calling, OAuth, Middleware, Interoperability, API Gateway, Agentic Workflows, Software Development Tools, LLM Application, Prompt Engineering, Retrieval-Augmented Generation, AI Security, Application Programming Interface (API), Scalability
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate
Kompetenzen, die Sie erwerben: Data Pipelines, Apache Airflow, Site Reliability Engineering, Disaster Recovery, Apache Kafka, Data Integrity, Data Infrastructure, Workflow Management, Data Storage Technologies, Real Time Data, Data Processing, Apache Spark
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Supervised Learning, Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Scikit Learn (Machine Learning Library), Random Forest Algorithm, Regression Analysis, Classification Algorithms, Logistic Regression, Performance Tuning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Vector Databases, Embeddings, Tool Calling, AI Workflows, Generative AI Agents, Document Management, Query Languages, Text Mining, Context Management
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Storytelling, Customer Analysis, Customer Retention, Marketing Analytics, Customer Insights, Strategic Decision-Making, Product Strategy, Data Analysis, Product Management, Data-Driven Decision-Making, Advanced Analytics, Unsupervised Learning, Technical Documentation, Performance Measurement, Machine Learning Algorithms
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Data Ethics, Data Validation, Generative AI, Data Cleansing, Data Quality, Data Preprocessing, Large Language Modeling, Text Mining, Hugging Face, Data Collection, Unstructured Data, Data Transformation
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Data Transformation, Real Time Data, Data Pipelines, Power BI, Data Quality, Dashboard, PySpark, Business Intelligence, Data Integrity, Data Governance, CI/CD, Data Validation, Data Visualization, Performance Tuning
Mittel · Kurs · 1–4 Wochen

University of Pennsylvania
Kompetenzen, die Sie erwerben: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
Mittel · Kurs · 1–4 Wochen