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: 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

Kompetenzen, die Sie erwerben: Model Deployment, AI Integrations, Enterprise Application Management, Generative AI Agents, Prompt Engineering, Prompt Patterns, LLM Application, Application Deployment, Role-Based Access Control (RBAC), Prompt Engineering Tools, Health Insurance Portability And Accountability Act (HIPAA) Compliance, User Interface (UI), Package and Software Management, Agentic systems, API Design, UI Components, Restful API, Authentications, Data Persistence, Release Management
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Image Analysis, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), AI Workflows, Model Training, Embeddings, Deep Learning, Large Language Modeling, Natural Language Processing, Model Deployment, Model Optimization, Data Pipelines, Risk Modeling, Data Preprocessing
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Financial Modeling, Financial Statements, Financial Forecasting, Financial Statement Analysis, Risk Modeling, Risk Management Framework, Capital Budgeting, Risk Management, Financial Auditing, Data Cleansing, Financial Data, Portfolio Risk, Financial Analysis, Risk Analysis, Budgeting, Credit Risk, Predictive Modeling, Power BI, Microsoft Excel, Data Visualization
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Coursera
Kompetenzen, die Sie erwerben: Model Context Protocol, Load Balancing, Containerization, Docker (Software), Model Deployment, Restful API, API Design, Application Programming Interface (API), Authentications, Application Deployment, Tool Calling, Scalability, Performance Tuning, Data Validation
Mittel · Kurs · 1–4 Wochen

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

Coursera
Kompetenzen, die Sie erwerben: Stakeholder Communications, Stakeholder Engagement, Data Storytelling, Stakeholder Management, Stakeholder Analysis, Data Presentation, Data-Driven Decision-Making, Business Communication, Model Evaluation, Responsible AI
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Mittel · Kurs · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Rust (Programming Language), Code Reusability, Command-Line Interface, Memory Management, API Design, Data Pipelines, Secure Coding, Development Environment, Build Tools, Package and Software Management, Debugging, Software Installation
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Simulations, Risk Modeling, Risk Analysis, Simulation and Simulation Software, Risk Management, Financial Forecasting, Return On Investment, Data Analysis, Financial Modeling, Analysis, Microsoft Excel, Data-Driven Decision-Making, Probability Distribution, Business Modeling
Mittel · Kurs · 1–4 Wochen

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: Retrieval-Augmented Generation, Vector Databases, Data Migration, Performance Tuning, Agentic systems, Generative AI, Generative Model Architectures, Model Deployment, AI Security, Containerization, Large Language Modeling, Embeddings, Role-Based Access Control (RBAC), System Monitoring
Mittel · Kurs · 1–3 Monate