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.

Coursera
Kompetenzen, die Sie erwerben: Web Analytics, Customer Engagement, Campaign Management, Analysis, Performance Metric, Business Metrics, Data-Driven Decision-Making, Descriptive Analytics, Stakeholder Communications
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Prompt Engineering, Anthropic Claude, Generative AI, Artificial Intelligence, Application Development, Application Programming Interface (API), Authentications, Context Management, User Interface and User Experience (UI/UX) Design, Content Creation, Customer Service
Mittel · Kurs · 1–4 Wochen

Universidad Austral
Kompetenzen, die Sie erwerben: Social Media, Social Media Strategy, Social Media Marketing, Google Ads, Digital Marketing, Customer Relationship Management, Content Performance Analysis, Media Buying, Social Media Campaigns, Marketing Analytics, Campaign Management, LinkedIn, Facebook, Web Analytics, Digital Media Strategy, Pay Per Click Advertising, Marketing Strategies, Marketing, Paid media, Analytics
Anfänger · Spezialisierung · 3–6 Monate

Coursera
Kompetenzen, die Sie erwerben: Strategic Sourcing, Supplier Management, Procurement, Vendor Management, Project Scoping, Market Analysis, Supply Chain, Market Intelligence, Market Research, Business Research, Data Collection, Project Documentation, Business Writing, Organizational Skills
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: User Story, Agile Methodology, Version Control, Persona (User Experience), Kanban Principles
Mittel · Kurs · 1–4 Wochen
Coursera
Kompetenzen, die Sie erwerben: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering
Fortgeschritten · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Google Analytics, Web Analytics, Marketing Effectiveness, Marketing Analytics, Content Performance Analysis, Web Analytics and SEO, Looker (Software), Google Ads, Data Visualization, Data Visualization Software, Marketing Automation, Customer Insights, Campaign Management, Data-Driven Decision-Making, Business Reporting, Performance Reporting, Trend Analysis, Data Validation, Statistical Analysis, Key Performance Indicators (KPIs)
Mittel · Spezialisierung · 3–6 Monate

Microsoft
Kompetenzen, die Sie erwerben: Business Intelligence, Datenmodellierung, Datenanalyse, Zeitreihenanalyse und Vorhersage, Star Schema, Power BI, Datenbank-Design, Data-Warehousing, Leistungsoptimierung, Datenvisualisierung, Ausdrücke zur Datenanalyse (DAX)
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Apple iOS, iOS Development, Apple Xcode, Application Deployment, Swift Programming, User Interface (UI), Artificial Intelligence and Machine Learning (AI/ML), Knowledge of Apple Software, Image Analysis, Real Time Data, Mobile Development, Model Deployment, User Interface and User Experience (UI/UX) Design, Computer Vision, Natural Language Processing, Classification Algorithms
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Marketing Analytics, Descriptive Statistics, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Collection, Statistics, Data Modeling, Statistical Analysis, Business Analytics, Advertising Campaigns, Campaign Management, Marketing, Analytics, Performance marketing, Web Analytics
Mittel · Spezialisierung · 3–6 Monate

CertNexus
Kompetenzen, die Sie erwerben: Cyber Threat Intelligence, Incident Response, Cybersecurity, Computer Security Incident Management, Information Systems Security, Threat Detection, Cyber Risk, Risk Analysis, Computer Security, Digital Forensics, Network Security, Incident Management, Vulnerability Assessments, Criminal Investigation and Forensics, Vulnerability Management, Vulnerability Scanning, Intelligence Collection and Analysis, Risk Management, Risk Mitigation, Network Analysis
Mittel · Spezialisierung · 3–6 Monate
Kompetenzen, die Sie erwerben: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development
Fortgeschritten · Kurs · 1–4 Wochen