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: Data Loss Prevention, AI Security, Process Mapping, Quality Assurance, Hardening, Compliance Reporting, Business Workflow Analysis, Project Schedules, Incident Response, Stakeholder Communications, Data Quality, Workflow Management, Data Mapping, Jira (Software), Project Management Software, Enterprise Security, Automation, Compliance Management, Single Sign-On (SSO), Process Engineering
Fortgeschritten · Spezialisierung · 3–6 Monate

AI CERTs
Kompetenzen, die Sie erwerben: Precision Medicine, Responsible AI, Drug Development, AI Product Strategy, Clinical Trials, Tensorflow, Pharmaceuticals, Clinical Research, PyTorch (Machine Learning Library), AI Enablement, Healthcare Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Generative AI, AI Personalization, Generative AI Agents, Regulatory Affairs, Hospital Medicine, Drug Interaction, Agentic systems
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

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

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

Coursera
Kompetenzen, die Sie erwerben: Reinforcement Learning, Inventory Control, Inventory Management System, Supply Chain, Operations Research, Supply Chain Management, Process Optimization, Model Optimization, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Fine-tuning, Performance Tuning, Decision Making, Simulations, Algorithms
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Optimization, Image Analysis, Transfer Learning, Fine-tuning, Multimodal Prompts, Model Evaluation, Technical Documentation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Model Training, Embeddings, Systems Design, Ethical Standards And Conduct, Large Language Modeling, Root Cause Analysis, Deep Learning
Mittel · Spezialisierung · 3–6 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

Kompetenzen, die Sie erwerben: Sprint Retrospectives, Collaborative Software, Collaboration, Team Building, Team Collaboration, AI Integrations, Teamwork, Sprint Planning, Key Performance Indicators (KPIs), Delegation Skills, Agile Methodology, Milestones (Project Management), Cross-Functional Collaboration, Prompt Engineering, Stakeholder Communications, AI Enablement, Software Documentation, Issue Tracking, Restful API, Bash (Scripting Language)
Mittel · Spezialisierung · 3–6 Monate

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