Generative-KI-Kurse können Ihnen helfen zu lernen, wie Modelle Texte, Bilder und andere Inhalte erzeugen. Sie können Fähigkeiten in Prompt-Design, Modellbewertung, Datenaufbereitung und grundlegenden Generierungsverfahren aufbauen. Viele Kurse stellen Python-Bibliotheken, APIs und Tools vor, mit denen Sie generative Ansätze ausprobieren können.

Google Cloud
Kompetenzen, die Sie erwerben: Document Management, Google Cloud Platform, Jupyter, Cloud Storage, Cloud Platforms, Data Management
Anfänger · Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Model Context Protocol, OpenAI API, Retrieval-Augmented Generation, OpenAI, AI Orchestration, Generative AI Agents, Agentic Workflows, Embeddings, ChatGPT, Agentic systems, Vector Databases, Generative AI, Artificial Intelligence, Memory Management, Context Management, Model Evaluation, Application Programming Interface (API), Python Programming, Document Management, Application Deployment
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: LangChain, GitHub Copilot, Agentic Workflows, CI/CD, LangGraph, AI Workflows, AI Integrations, DevOps, Continuous Deployment, Generative AI Agents, Application Deployment, Test Automation, Maintainability, Agentic systems, Continuous Monitoring, Technology Strategies, Scalability, Risk Management Framework
Mittel · Kurs · 1–4 Wochen

Vanderbilt University
Kompetenzen, die Sie erwerben: Generative KI, Tabellenkalkulations-Software, Microsoft Excel, Datenvisualisierung, Plot (Grafiken), Excel-Formeln, Verifizierung und Validierung, Interaktive Datenvisualisierung, Prototyping, Excel-Makros, Multimodale Aufforderungen, AI-Förderung, ChatGPT
★ 4.8 (74) · Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Milestones (Project Management), Acceptance Testing, CI/CD, Scope Management, MLOps (Machine Learning Operations), Feature Engineering, Governance Risk Management and Compliance, Capacity Management, Responsible AI, Smart Goals, Backlogs, Project Risk Management, Compliance Management, Stakeholder Communications, Risk Management, Data Governance, Model Evaluation, Project Planning, Case Studies, Risking
★ 4 (8) · Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Model Optimization, Scikit Learn (Machine Learning Library), Data Preprocessing, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Digital Transformation, New Product Development, Innovation, Design Thinking, Customer experience improvement, Web Content Accessibility Guidelines, Product Strategy, User Experience, Product Development, Customer experience strategy (CX), Journey Mapping, Customer Engagement, Emerging Technologies
Anfänger · Kurs · 1–3 Monate

University of Michigan
Kompetenzen, die Sie erwerben: Histogram, Generative AI, Model Evaluation, Data Literacy, AI literacy, Data Presentation, Data Collection, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Statistics, Data Analysis, Statistical Reporting, Data Ethics, Experimentation, Science and Research, Data Science, Research Design, Model Training, Artificial Intelligence
★ 4.7 (56) · Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: UI Components, Game Design, Video Game Development, Unreal Engine, User Interface (UI), User Interface (UI) Design, Interactive Design, Data Persistence, Interaction Design, Virtual Environment, Computer Graphics, 3D Assets, AI Workflows, Computer Graphic Techniques, Visualization (Computer Graphics), Scripting, Artificial Intelligence, Data Management, User Flows, User Interface and User Experience (UI/UX) Design
★ 4.7 (15) · Anfänger · Spezialisierung · 3–6 Monate

University of Glasgow
Kompetenzen, die Sie erwerben: Model Training, Model Evaluation, Matlab, Data Visualization, Data Preprocessing, Model Optimization, Scientific Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Statistical Methods, Mathematical Software, Data Literacy, Statistical Machine Learning, Data Wrangling, Applied Mathematics, Data Validation, Data Quality, Mathematical Modeling, Engineering Analysis, Artificial Neural Networks
★ 5 (143) · Anfänger · Spezialisierung · 1–3 Monate

DeepLearning.AI
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Large Language Modeling, LLM Application, Fine-tuning, Embeddings
★ 4.3 (11) · Mittel · Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Dashboard Creation, Data Visualization, Interactive Data Visualization, Prompt Patterns, Project Risk Management, Performance Reporting, AI literacy, Risk Analysis, Data-Driven Decision-Making, Project Management Software, Project Performance, Project Portfolio Management, Business Metrics
Anfänger · Kurs · 1–4 Wochen