ML-Kurse können Ihnen helfen zu lernen, wie Modelle entwickelt, trainiert und bewertet werden. Sie können Fähigkeiten in Algorithmen, Datenaufbereitung, Modelloptimierung und Analyse aufbauen. Viele Kurse stellen Python-Bibliotheken, Tools und Beispielprojekte vor.

Kompetenzen, die Sie erwerben: Plotly, Object Oriented Programming (OOP), Matplotlib, Pandas (Python Package), Plot (Graphics), Data Visualization, Interactive Data Visualization, Seaborn, Data Analysis, File I/O, NumPy, Data Visualization Software, Data Structures, Restful API, Python Programming, Application Programming Interface (API), Data Manipulation, Programming Principles, Computer Programming, Program Development
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Risking, Generative Model Architectures, AI Security, OpenAI, AI Product Strategy, Investment Management, Data Ethics, Technology Strategies, Asset Management, Investments, Portfolio Management, Market Data, Business Ethics, Customer experience improvement, Operational Efficiency
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: LangChain, LLM Application, Retrieval-Augmented Generation, LangGraph, AI Workflows, Large Language Modeling, AI Orchestration, Responsible AI, Generative AI, Token Optimization, Agentic systems, Prompt Engineering, Generative AI Agents, Natural Language Processing, Cloud Development, Application Programming Interface (API), Python Programming, Application Deployment, Data Processing, Pandas (Python Package)
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Restful API, API Design, Application Programming Interface (API), Security Controls, Virtual Environment, Development Environment, Python Programming, Secure Coding, Data Access, User Accounts, Package and Software Management, Application Security, Encryption
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Wiederverwendbarkeit von Code, Benutzeroberfläche (UI), Skripting, Spiel-Design, Ereignisgesteuerte Programmierung, UI-Komponenten, Animationen, C# (Programmiersprache), Unity-Engine, Entwicklung von Videospielen, Animation und Spieldesign, Objektorientierte Programmierung (OOP)
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Cloud Computing Architecture, Google App Engine, Application Deployment, Data Storage, Analytics, Cloud Services, Cloud Platforms, Security Controls, Network Planning And Design, Virtual Networking, Artificial Intelligence
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Optimization, Model Deployment, Model Training, AI Security, Benchmarking, Numerical Analysis, Process Optimization, Cloud Deployment, Keras (Neural Network Library), Network Model, Project Performance
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Scalability, Model Optimization, CI/CD, Continuous Deployment, Machine Learning Software, Continuous Delivery, Model Training, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Automation, Business Priorities, Performance Analysis, YAML
Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Prompt Engineering, Prompt Engineering Tools, LLM Application, AI Workflows, AI Orchestration, No-Code Development, Retrieval-Augmented Generation, Generative AI Agents, Memory Management, Agentic systems, Application Programming Interface (API), Software Installation
Anfänger · Kurs · 1–3 Monate

Microsoft
Kompetenzen, die Sie erwerben: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, Model Training, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Tensorflow, Image Analysis, Forecasting, Prototyping
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, Responsible AI, No-Code Development, Business Metrics, Data Ethics, AI Personalization, AI Integrations, Return On Investment, Application Deployment, Customer experience improvement, Language Interpretation, Translation, and Studies, Performance Measurement, Product Improvement, Key Performance Indicators (KPIs), Cross Platform Development, Continuous Improvement Process, User Feedback, Customer Engagement, Systems Integration, System Design and Implementation
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Database Design, SQL, Data Management, Databases, Database Management, Query Languages, Data Manipulation, Data Analysis
Mittel · Kurs · 1–4 Wochen