Kurse in Künstlicher Intelligenz (KI) können Ihnen helfen, zentrale Konzepte wie maschinelles Lernen, neuronale Netze und einfache Modelle zur Vorhersage kennenzulernen. Sie können Fähigkeiten im Umgang mit Daten, Bewertungsmethoden und im Verständnis von KI-Verhalten aufbauen. Viele Kurse führen in Werkzeuge wie Python-Bibliotheken oder No-Code-Plattformen ein, mit denen Sie KI-Anwendungen ausprobieren können.

Kompetenzen, die Sie erwerben: Prompt Engineering, Marketing Automation, Personalized Campaigns, Microsoft Copilot, Prompt Engineering Tools, Marketing Operations, Marketing, Campaign Planning, Data-Driven Marketing, Campaign Management, AI Enablement, Market Intelligence, Marketing Analytics, Email Marketing, AI Personalization, Predictive Analytics, Data-Driven Decision-Making, Power BI, Business, Leadership Development
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Faltungsneuronale Netze, Tiefes Lernen, Bildqualität, Netzarchitektur, Computer Vision, Feinabstimmung, Lernen übertragen, Modell Ausbildung, Modell-Optimierung, Methoden des maschinellen Lernens, Bewertung des Modells, Algorithmen für maschinelles Lernen, Klassifizierungsalgorithmen
★ 4.3 (1440) · Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Databricks, Dashboard, Star Schema, Dashboard Creation, Snowflake Schema, Data Lakes, SQL, Interactive Data Visualization, Database Administration, Business Intelligence, Data Modeling, Data Architecture, Data Warehousing, Data Import/Export, Query Languages, Data Analysis, Data Governance, Data Access, Extract, Transform, Load, Data Security
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Canva (Software), Prompt Engineering, Timelines, Email Automation, Microsoft Power Automate/Flow, Setting Appointments, Calendar Management, Automation, Microsoft 365, Generative AI, ChatGPT, Collaborative Software, Business Process Automation, Artificial Intelligence, Project Management Software, Time Management, Productivity, Personal Development, Natural Language Processing, Communication
★ 4.6 (1806) · Mittel · Spezialisierung · 1–3 Monate

AI CERTs
Kompetenzen, die Sie erwerben: Prompt Engineering, Prompt Engineering Tools, LangChain, Prompt Patterns, Make.com, AI Orchestration, LLM Application, System Design and Implementation, AI Workflows, Retrieval-Augmented Generation, LangGraph, Responsible AI, Context Management, Systems Development, No-Code Development, Large Language Modeling, Token Optimization, Agentic Workflows, Generative AI, Natural Language Processing
Mittel · Kurs · 1–3 Monate

Edureka
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), DevOps, CI/CD, Continuous Deployment, Devops Tools, Continuous Integration, Application Deployment, Application Lifecycle Management, Kubernetes, Applied Machine Learning, Machine Learning, Machine Learning Methods, Docker (Software), Containerization, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Statistical Machine Learning, Machine Learning Algorithms, Apache Kafka, Amazon Web Services
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Personalized Campaigns, Email Marketing, Campaign Management, Content Marketing, Marketing Operations, Prompt Engineering, AI Personalization, Cross-Channel Marketing, Content Performance Analysis, Social Media Campaigns, Data-Driven Marketing, Content Development and Management, Content Creation, AI Workflows, Content Strategy, A/B Testing, Digital Media Strategy, Copywriting, Prompt Engineering Tools, Quality Assurance
Anfänger · Kurs · 1–3 Monate

Birla Institute of Technology & Science, Pilani
Kompetenzen, die Sie erwerben: Data Analysis, Computational Logic, Integral Calculus, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Statistical Methods, Analysis, Advanced Mathematics, Bayesian Statistics, Statistical Inference, Theoretical Computer Science, Mathematics and Mathematical Modeling, Numerical Analysis, Descriptive Analytics
★ 4.5 (204) · Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Prompt Engineering, Anthropic Claude, Claude Code, AI Workflows, Prompt Engineering Tools, Agentic Workflows, AI Orchestration, Model Context Protocol, Presentations, Excel Formulas, Business Process Automation, Microsoft PowerPoint, Spreadsheet Software, Data Presentation, Financial Data, Tool Calling, Productivity Software, Automation, Financial Modeling, Workflow Management
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Evaluation, PyTorch (Machine Learning Library), Responsible AI, Debugging, Model Deployment, Model Training, Model Optimization, Deep Learning, Test Tools, Testability, Machine Learning, Data Preprocessing, Verification And Validation, Feature Engineering, Python Programming, AI Security, Test Driven Development (TDD), AI Enablement
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Agentic systems, Agentic Workflows, Predictive Modeling, Predictive Analytics, Microsoft Excel, Spreadsheet Software, Data Ethics, Applied Machine Learning, AI Workflows, Business Analytics, Analytics, Responsible AI, Forecasting, Model Training, Regression Analysis, Machine Learning Methods, Data Preprocessing
Anfänger · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Modellierung großer Sprachen, Generative KI, Schnelles Engineering, LLM-Bewerbung
★ 4.5 (1521) · Anfänger · Kurs · 1–4 Wochen