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: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Scikit Learn (Machine Learning Library), Retail Store Operations, Machine Learning, Histogram, Decision Tree Learning, Pandas (Python Package), Jupyter, Matplotlib
Mittel · Kurs · 1–4 Wochen

Minnesota State University, Mankato
Kompetenzen, die Sie erwerben: Research, Usability Testing, Usability, Research Methodologies, User Research, Writing and Editing, User Feedback, Report Writing, Web Content Accessibility Guidelines, User Experience Design, Prompt Engineering, Persona (User Experience), User Experience, Analysis
Anfänger · Kurs · 1–4 Wochen

Whizlabs
Kompetenzen, die Sie erwerben: AI Personalization, Fraud detection, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Amazon Web Services, Artificial Intelligence, Natural Language Processing, Text Mining, Data Processing, Document Management
Mittel · Kurs · 1–4 Wochen

Alibaba Cloud Academy
Kompetenzen, die Sie erwerben: Serverless Computing, Cloud-Native Computing, Containerization, Kubernetes, DevOps, Cloud Management, Cloud Computing, Application Deployment, Cloud Infrastructure, Cloud Security, Application Security, Artificial Intelligence and Machine Learning (AI/ML), Data Migration
Mittel · Kurs · 1–3 Monate

Johns Hopkins University
Kompetenzen, die Sie erwerben: Data Science, Data Literacy, Project Design, Data Analysis, Data Management, Data Presentation, Data-Driven Decision-Making, Business Analytics, Performance Metric, Machine Learning, Statistical Inference
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Digital Transformation, Data Governance, Cloud Storage, Real Time Data, Google Cloud Platform, Looker (Software), Data Storage, Data Migration, Business Intelligence Software, Data Management, Cloud Solutions, Big Data, Business Intelligence, Databases, Database Management, Analytics, Data-Driven Decision-Making
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Azure Synapse Analytics, Data Warehousing, Power BI, Data Integration, Data Architecture, Data Visualization Software, Microsoft Azure, Apache Spark, Database Management, Data Pipelines, Performance Tuning, Data Processing, Data Security, Scalability
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Natural Language Processing, Deep Learning
Mittel · Kurs · 1–4 Wochen

Real Madrid Graduate School Universidad Europea
Kompetenzen, die Sie erwerben: Marketing Effectiveness, Marketing Analytics, Key Performance Indicators (KPIs), Marketing, Return On Investment, Digital Marketing, Marketing Strategy and Techniques, Consumer Behaviour, Branding, Customer Engagement, Advertising, Brand Management, Strategic Partnership, Sales Process, Price Negotiation, Data Analysis, Stakeholder Management, Public Relations, Emotional Intelligence, Creative Thinking
Anfänger · Kurs · 1–4 Wochen

DeepLearning.AI
Kompetenzen, die Sie erwerben: LLM Application, Large Language Modeling, Data Processing, Big Data, Applied Machine Learning, Semantic Web, Natural Language Processing
Anfänger · Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Risk Analysis, Risk Management, Cybersecurity, Network Security, Incident Response, Cloud Security, Risk Management Framework, Authentications, Business Continuity Planning, Application Security, IT Management, Security Management, Threat Modeling, Threat Management, OSI Models, Disaster Recovery, Cryptography, Encryption, Cyber Risk, Vulnerability Assessments
Mittel · Spezialisierung · 1–3 Monate