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: 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

Coursera
Kompetenzen, die Sie erwerben: Responsible AI, AI Security, Generative AI, Data Ethics, Threat Modeling, General Data Protection Regulation (GDPR), Security Testing, Model Evaluation, Open Source Technology, Metadata Management, Data Integrity, Data Validation, Cryptographic Protocols
Mittel · Kurs · 1–4 Wochen

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

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

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

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: GitHub, Package and Software Management, Okta, Azure Active Directory, Security Assertion Markup Language (SAML), Enterprise Application Management, Single Sign-On (SSO), Git (Version Control System), Continuous Integration, CI/CD, Authorization (Computing), Role-Based Access Control (RBAC), Enterprise Security, Identity and Access Management, Apache Maven, User Provisioning, MLOps (Machine Learning Operations), Containerization, Security Strategy, Automation
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Docker (Software), Agentic systems, Generative AI, Generative Model Architectures, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration
Mittel · Spezialisierung · 3–6 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

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

Coursera
Kompetenzen, die Sie erwerben: Model Training, Photo Editing, Post-Production
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: Model Optimization, Simulations, Plot (Graphics)
Mittel · Kurs · 1–4 Wochen