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: AI literacy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Model Training, Model Evaluation, Machine Learning, Model Deployment
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Responsible AI, AI literacy, Model Evaluation, Machine Learning Software, Artificial Intelligence, Machine Learning Methods, Machine Learning, Applied Machine Learning
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Search Engine Optimization, Content Optimization, Web Analytics, Google Analytics, Content Performance Analysis, Generative Engine Optimization (GEO), Conversion Funnel Analysis, Dashboard Creation, Keyword Research, Marketing Analytics, Content Strategy, Content Creation, Key Performance Indicators (KPIs), Performance Metric, Ad Hoc Analysis, Variance Analysis, User Flows, Statistical Analysis, Quality Assessment, Corrective and Preventive Action (CAPA)
Mittel · Kurs · 3–6 Monate

University of Maryland, College Park
Kompetenzen, die Sie erwerben: Cybersecurity, Cyber Security Strategy, Cyber Security Policies, Cyber Attacks, Cyber Risk, Security Awareness, Information Systems Security, Human Factors (Security), Computer Security, Malware Protection, Public Safety and National Security, Infrastructure Security, Data Security, Law, Regulation, and Compliance, Risk Management
Anfänger · Kurs · 1–3 Monate

Simplilearn
Kompetenzen, die Sie erwerben: Keyword Research, Search Engine Marketing, Search Engine Optimization, Web Analytics and SEO, Competitive Analysis, Content Optimization, Digital Marketing Tools, Performance Analysis, Web Analytics, Performance Measurement, Performance Management, Analytics
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Google Gemini, Marketing Strategies, Customer Analysis, Gemini, Big Data, Forecasting, Customer Insights, Predictive Analytics, Marketing, Analytics, Data-Driven Marketing, Target Audience, Data Analysis, Marketing Analytics, Campaign Planning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Applied Machine Learning, Google Cloud Platform
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Dashboard Creation, Dashboard, Data Transformation, Advanced Analytics, Data Wrangling, Statistical Machine Learning, Data Manipulation, Data Processing, SPSS (Software), Analytics, Data Presentation, Data Preprocessing, Data Visualization, Data Analysis, Business Analytics, Statistical Analysis, Statistical Modeling, Predictive Analytics, Data Quality, Data Storytelling
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Peer Review, General Sales Practices, Phone Sales, Communication, Communication Strategies, Marketing Psychology, Drive Engagement, Consumer Behaviour, Discussion Facilitation, Driving engagement, Relationship Building, Customer Engagement
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Model Training, Data Validation, Google Cloud Platform, Tensorflow, Model Optimization, Systems Architecture, Distributed Computing, Performance Tuning, Scalability, Machine Learning, Data Pipelines, Hybrid Cloud Computing
Fortgeschritten · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Facebook, Meta Ads Manager, Online Advertising, Contextual Advertising, Social Media Marketing, Target Audience, Web Analytics
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Graph Theory, Network Analysis, Network Model, Social Network Analysis, NoSQL, Data Store, Data Science, Query Languages, Visualization (Computer Graphics), Data Transformation, Big Data, Machine Learning Methods, Python Programming, Spatial Data Analysis, Deep Learning, Machine Learning, Machine Learning Algorithms, Quantum computing
Mittel · Kurs · 3–6 Monate