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.

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, Unit Testing, Maintainability, Test Tools, Docker (Software), Style Guides, Software Testing
Anfänger · Kurs · 1–4 Wochen

AI CERTs
Kompetenzen, die Sie erwerben: AI Enablement, Sustainable Development, Generative AI, Sustainable Systems, Sustainability Reporting, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Generative AI Agents, Environment, Environmental Resource Management, Environmental Issue, Environmental Policy, Responsible AI, AI Personalization, Energy and Utilities, Environment and Resource Management, Climate Change Adaptation, Environmental Regulations, Google Analytics, Demography
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: OAuth, Authentications, API Design, Enterprise Security, Software Documentation, Application Programming Interface (API), Middleware, API Testing, Restful API, Model Deployment, Security Controls, Data Processing, Software Versioning
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Process Mapping, Workflow Management, Business Workflow Analysis, Process Optimization, Process Analysis, Generative AI, Scripting, Return On Investment, AI Workflows, Slack (Software), Scripting Languages, Automation, Performance Measurement, Project Management Software, Business Process Automation, Performance Reporting, AI Integrations, Management Reporting, Project Management, Problem Solving
Anfänger · Kurs · 3–6 Monate

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

Kompetenzen, die Sie erwerben: Exploratory Data Analysis, Spatial Data Analysis, Tree Maps, Plot (Graphics), Plotly, Data Analysis, Data Visualization, Statistical Visualization, Interactive Data Visualization, Data Visualization Software, Jupyter, Statistical Analysis, Quantitative Research, Pandas (Python Package)
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Google DeepMind
Kompetenzen, die Sie erwerben: Prompt Engineering, Google Gemini, Gemini, Generative AI Agents, AI Integrations, Google Cloud Platform, Application Programming Interface (API), Real Time Data, Key Management, Tool Calling, Agentic systems, Cloud Deployment, Generative Model Architectures, Generative AI, Large Language Modeling, AI Security, Artificial Intelligence, AI Workflows, Cloud Applications, Cloud Development
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: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization, Statistical Visualization, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Presentation, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Analysis, Data Structures
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: MySQL, MySQL Workbench, Rust (Programming Language), Data Pipelines, SQL, Relational Databases, Database Management, Database Systems, Query Languages, Data Maintenance, Database Software, Database Management Systems, Database Architecture and Administration, Data Engineering, Bash (Scripting Language), Data Import/Export, Data Architecture, Data Modeling, Docker (Software), Data Preprocessing
Anfänger · Kurs · 1–4 Wochen

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Docker (Software), CI/CD, Containerization, LLM Application, Continuous Integration, Software As A Service, Product Development, Continuous Deployment, Commercialization, Large Language Modeling, Strategic Marketing, Software Development, Marketing Strategies, Application Deployment, Product Planning, Go To Market Strategy, API Design, Generative AI, Software Testing, GitHub
Anfänger · Kurs · 1–4 Wochen

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Amazon Bedrock, LLM Application, AWS SageMaker, Token Optimization, Large Language Modeling, Amazon Web Services, No-Code Development, Prompt Engineering, Generative AI, AI Orchestration, Model Deployment, Generative AI Agents, Package and Software Management, Model Training, Rust (Programming Language), Model Optimization, Performance Tuning
Anfänger · Kurs · 1–4 Wochen