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.
University of Colorado Boulder
Kompetenzen, die Sie erwerben: Model Evaluation, Data Mining, Supervised Learning, Unsupervised Learning, Service Level, Dimensionality Reduction, Deep Learning, Statistical Modeling, Probability, Applied Machine Learning, Anomaly Detection, Machine Learning Algorithms, Statistical Inference, Statistical Hypothesis Testing, Statistical Machine Learning, Data Warehousing, Model Training, Performance Testing, Bash (Scripting Language), Data Science
Abschlusszertifikat · 6–12 Monate
University of London
Kompetenzen, die Sie erwerben: Human Computer Interaction, Virtual Reality, Game Design, Full-Stack Web Development, Mobile Development, Agile Software Development, Animations, Data Ethics, Event-Driven Programming, Git (Version Control System), Web Applications, Incident Response, Data Science, Natural Language Processing, Data Transformation, Combinatorics, Database Design, Model Evaluation, Web Development, Generative AI
Abschlusszertifikat · 6–12 Monate
Universidad de los Andes
Kompetenzen, die Sie erwerben: Social Network Analysis, Unsupervised Learning, Systems Thinking, Deep Learning, Reinforcement Learning, Data Storytelling, Computer Vision, MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Predictive Modeling, Project Management Life Cycle, Natural Language Processing, Strategic Decision-Making, Marketing Analytics, Logistic Regression, Financial Data, Environmental Management Systems, Dashboard, Data Cleansing, Technical Communication
Abschluss · 1–4 Jahre
University of Illinois at Urbana-Champaign
Abschluss · 1–4 Jahre

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, Design Research, Data Ethics
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

Google Cloud
Kompetenzen, die Sie erwerben: Google Cloud Platform, Model Deployment, Model Optimization, Serverless Computing, Cloud Deployment, Generative AI, Cloud Platforms, AI Integrations, Application Deployment, Cloud-Based Integration, Containerization, Scalability
Anfänger · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Identity and Access Management, Google Cloud Platform, Cloud Infrastructure, Cloud Computing Architecture, Network Architecture, Generative AI, Data Infrastructure, Network Planning And Design, Network Infrastructure, Network Performance Management, General Networking, Distributed Computing, Model Training, Token Optimization, Hybrid Cloud Computing, Data Migration, Network Protocols
Mittel · Kurs · 1–3 Monate

LearnKartS
Kompetenzen, die Sie erwerben: Agentic systems, Retrieval-Augmented Generation, Vector Databases, Agentic Workflows, Generative AI Agents, MongoDB, Model Context Protocol, Scalability, Embeddings, AI Workflows, Node.JS, PostgreSQL, Data Integration, Database Management, API Design, Data Transformation, Data Structures, Data Storage, Software Installation
Fortgeschritten · Kurs · 1–4 Wochen