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: Retrieval-Augmented Generation, LLM Application, Natural Language Processing, Text Mining, Data-Driven Decision-Making, Usability Testing, Embeddings, Usability, Unstructured Data, Model Evaluation, Data Analysis
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Vector Databases, Embeddings, Retrieval-Augmented Generation, Model Optimization, Data Ethics, Responsible AI, Model Evaluation, Performance Tuning, Performance Testing
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Generative AI Agents, Agentic Workflows, Agentic systems, Generative AI, Prompt Engineering, Prompt Patterns, LLM Application, Systems Architecture, Tool Calling, Natural Language Processing, Context Management, Memory Management, Verification And Validation
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Databricks, Generative AI, Prompt Engineering, Retrieval-Augmented Generation, Vector Databases, Context Engineering, Fine-tuning, LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Applied Machine Learning, Embeddings, Data Lakes, Model Evaluation, Model Optimization, Application Deployment, Acceptance Testing
Mittel · Kurs · 1–4 Wochen

Google DeepMind
Kompetenzen, die Sie erwerben: Prompt Engineering, Google Gemini, Gemini, Prompt Engineering Tools, Generative AI Agents, AI Orchestration, LLM Application, Vibe coding, Program Development, Token Optimization, Agentic Workflows, LangChain, Cloud API, Artificial Intelligence, Serverless Computing, Microservices, Microsoft Azure, Natural Language Processing, Distributed Computing, Reinforcement Learning
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: AI Workflows, CrewAI, Prompt Engineering, AI Orchestration, Context Engineering, Agentic Workflows, Model Context Protocol, Generative AI Agents, LLM Application, Tool Calling, Agentic systems, Role-Based Access Control (RBAC), AI Security, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, Artificial Intelligence, Prompt Patterns
Mittel · Spezialisierung · 1–3 Monate

KodeKloud
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Data Processing, Feature Engineering, CI/CD, Pandas (Python Package), Continuous Integration
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Statistical Inference, Statistical Hypothesis Testing, Sample Size Determination, Statistical Analysis, Statistical Reporting, Statistics, Data Analysis, Statistical Methods, A/B Testing, Statistical Software, Estimation, Data-Driven Decision-Making, Conversion Funnel Analysis, Business Analysis, Stakeholder Communications, Decision Making
Mittel · Kurs · 1–4 Wochen

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Responsible AI, Model Evaluation, AI Integrations, Model Deployment, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, API Design, LLM Application, Cloud Development, Microsoft Azure, Prompt Engineering, Capacity Management, Scalability, Authentications, Data Validation
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Flask (Web Framework), Restful API, Application Deployment, Cloud Deployment, Dashboard Creation, Full-Stack Web Development, Application Programming Interface (API), Data Visualization, Object-Relational Mapping, Interactive Data Visualization, Application Development, Cloud Applications, API Design, Back-End Web Development, Database Management, Bootstrap (Front-End Framework), Database Development, Databases, Web Applications, Web Development
Mittel · Spezialisierung · 3–6 Monate

Coursera
Kompetenzen, die Sie erwerben: Classification And Regression Tree (CART), Model Deployment, Model Optimization, Decision Tree Learning, Predictive Modeling, Model Evaluation, Model Training, Predictive Analytics, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Data-Driven Decision-Making, Performance Tuning, Feasibility Studies, Scikit Learn (Machine Learning Library), Data Visualization, Performance Analysis, Statistical Methods, Cost Benefit Analysis, Performance Measurement
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Docker (Software), Kubernetes, Containerization, YAML, DevOps, Devops Tools, Application Deployment, Command-Line Interface, Flask (Web Framework), Cloud Deployment, Scalability, Load Balancing
Mittel · Kurs · 1–4 Wochen