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.

Coursera
Kompetenzen, die Sie erwerben: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric
Mittel · Kurs · 1–4 Wochen

AI CERTs
Kompetenzen, die Sie erwerben: Clinical Documentation, Data Ethics, Health Informatics, Medical Assistance, Healthcare Ethics, Data Literacy, Power BI, Patient Coordination, Generative AI Agents, Epic EMR, Cybersecurity, Patient Flow, Medical Practice Management Software, Tensorflow, Generative AI, Artificial Intelligence, AI Enablement, Health Administration, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML)
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Vector Databases, Performance Tuning, Data Migration, Data Infrastructure, Data Integrity, Scalability, Embeddings, Data Import/Export, Data Engineering, Database Architecture and Administration, MLOps (Machine Learning Operations), Scripting, Data Pipelines
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Scalability, IT Automation, Cloud Computing, Systems Administration, Servers
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Statistical Hypothesis Testing, Clinical Data Management, Clinical Assessment, Data Analysis, Analytics, Machine Learning Methods, Healthcare Ethics, Health Informatics, Regression Analysis, Predictive Analytics, Supervised Learning, Statistical Analysis, Statistics, Probability & Statistics, Decision Tree Learning, Random Forest Algorithm
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Data Ethics, Responsible AI, Technical Communication, Stakeholder Communications, Model Evaluation, Data Preprocessing, Diversity Awareness, Analytical Skills, Data-Driven Decision-Making, Sampling (Statistics), Statistical Analysis
Mittel · Kurs · 1–4 Wochen

Edureka
Kompetenzen, die Sie erwerben: LangChain, LangGraph, Model Context Protocol, AI Workflows, LLM Application, AI Orchestration, Agentic Workflows, Generative AI Agents, Tool Calling, Model Deployment, Data Transformation, Retrieval-Augmented Generation, Agentic systems, Generative AI, Middleware, Gemini, Scalability, Artificial Intelligence, Prompt Engineering, Responsible AI
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Transfer Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Deep Learning, PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Embeddings, Computer Vision
Mittel · Kurs · 1–4 Wochen

Vanderbilt University
Kompetenzen, die Sie erwerben: Model Context Protocol, AI Workflows, Generative AI Agents, Agentic Workflows, AI Orchestration, Agentic systems, Tool Calling, Artificial Intelligence and Machine Learning (AI/ML), AI Security, AI Enablement, Artificial Intelligence, LLM Application, Prompt Patterns, Prompt Engineering, ChatGPT, AI Personalization, AI Product Strategy, Anthropic Claude, Multimodal Prompts, Generative AI
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Financial Modeling, Variance Analysis, Key Performance Indicators (KPIs), Bookkeeping, Financial Forecasting, Revenue Forecasting, Budget Management, Financial Statement Analysis, Business Reporting, Dashboard, Capital Budgeting, Financial Controls, Financial Reporting, Financial Analysis, Process Improvement, Financial Services, Financial Data, Investments, Predictive Analytics, Data-Driven Decision-Making
Mittel · Spezialisierung · 3–6 Monate