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.

Birla Institute of Technology & Science, Pilani
Kompetenzen, die Sie erwerben: Social Network Analysis, Social Media Analytics, Graph Theory, Network Analysis, Big Data, Network Model, Data Ethics, Applied Machine Learning, Responsible AI, Analytics, Data Mining, Machine Learning, Research, Deep Learning, Artificial Intelligence, Unsupervised Learning, Algorithms
Mittel · Kurs · 1–3 Monate
Universidad de los Andes
Kompetenzen, die Sie erwerben: Social Network Analysis, Network Analysis, Data Storytelling, Strategic Decision-Making, Forecasting, Data Presentation, Marketing Analytics, Financial Forecasting, Time Series Analysis and Forecasting, Interactive Data Visualization, Statistical Machine Learning, Sales Territory Management, Financial Modeling, Machine Learning Methods, Data Cleansing, Matplotlib, Operations Research, Model Deployment, Natural Language Processing, Model Optimization
MasterTrack · 6–12 Monate

Ball State University
Kompetenzen, die Sie erwerben: Data Ethics, Graph Theory, Machine Learning Algorithms, Supervised Learning, File Systems, SQL, Software Engineering, Data Visualization, Statistical Hypothesis Testing, Statistical Methods, Spatial Data Analysis, Cryptography, Object Oriented Programming (OOP), SAS (Software), Text Mining, Financial Data, Artificial Intelligence, Predictive Modeling, Data Science, Natural Language Processing
Abschluss · 1–4 Jahre
Universidad de los Andes
Kompetenzen, die Sie erwerben: User Story, Software Testing, Test Automation, Version Control, Continuous Integration, Unified Modeling Language, Git (Version Control System), Software Architecture, Software Design Patterns, JavaScript Frameworks, Usability, Software Design, Web Content Accessibility Guidelines, Test Script Development, Application Frameworks, Regression Testing, Test Data, Systems Architecture, Angular, Maintainability
MasterTrack · 6–12 Monate

University of London
Kompetenzen, die Sie erwerben: Digital Forensics, Human Factors (Security), Infrastructure Security, Security Management, Computer Security Incident Management, Information Privacy, Key Management, Cyber Governance, Application Security, Network Security, Threat Modeling, Business Continuity Planning, OSI Models, Security Testing, Intrusion Detection and Prevention, Cryptography, Authorization (Computing), Cyber Security Policies, Statistical Analysis, Design Research
Abschluss · 1–4 Jahre

Ball State University
Kompetenzen, die Sie erwerben: Data Ethics, Full-Stack Web Development, Graph Theory, Machine Learning Algorithms, Supervised Learning, File Systems, SQL, Software Engineering, Data Visualization, Statistical Methods, Theoretical Computer Science, Cryptography, Object Oriented Programming (OOP), SAS (Software), Statistical Hypothesis Testing, Text Mining, Artificial Intelligence, Predictive Modeling, Data Science, Natural Language Processing
Abschluss · 1–4 Jahre
University of Illinois at Urbana-Champaign
Abschluss · 1–4 Jahre

University of Pittsburgh
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, LLM Application, Tool Calling, Database Systems, Data Visualization, Database Design, Generative AI, Large Language Modeling, Database Management, Databases, Supervised Learning, Web Services, Data Ethics, Apache Spark, Bayesian Statistics, Time Series Analysis and Forecasting, Database Theory, Unsupervised Learning, Linear Algebra, Model Deployment
Abschluss · 1–4 Jahre

Georgetown University
Kompetenzen, die Sie erwerben: Data Storytelling, Vulnerability Assessments, Operations Management, Surveys, Business Strategy, Competitive Intelligence, Design Thinking, Cyber Threat Intelligence, Machine Learning Methods, Social Justice, Descriptive Statistics, Environment, Business Ethics, Capital Budgeting, Market Opportunities, Storytelling, Marketing Planning, Leadership Studies, International Relations, Supplier Risk Management
Abschluss · 1–4 Jahre

Kompetenzen, die Sie erwerben: Prompt Engineering, Agentic Workflows, MongoDB, Retrieval-Augmented Generation, Vector Databases, Generative AI Agents, Scalability, Model Context Protocol, Context Engineering, Data Architecture, Systems Design, Tool Calling, System Design and Implementation, Development Environment, Embeddings, PostgreSQL, Database Design, Object-Relational Mapping, Data Modeling, SQL
Fortgeschritten · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Google Cloud Platform, Model Optimization, Model Deployment, Generative AI, Serverless Computing, Cloud Deployment, Application Deployment, AI Integrations, Performance Tuning, Machine Learning Methods, Scalability
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Vector Databases, Web Design and Development, AI Personalization, Web Development, Web Applications, HTML and CSS, Natural Language Processing, Data Store, Embeddings, Javascript, Database Management, LLM Application, Persona (User Experience), Real Time Data, Generative AI Agents
Mittel · angeleitetes Projekt · Weniger als 2 Stunden