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.

Arizona State University
Kompetenzen, die Sie erwerben: Communication, Business Correspondence, Business Communication, Verbal Communication Skills, Communication Strategies, Interpersonal Communications, Emotional Intelligence, Meeting Facilitation, Oral Expression, Professionalism, Empathy & Emotional Intelligence, Non-Verbal Communication, Virtual Teams, Relationship Building, Business Writing, Collaboration, Active Listening, Concision, Writing, Presentations
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, Anomaly Detection, Model Training, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Scientific Visualization, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Analysis, Data Preprocessing, Machine Learning, Development Environment
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Change Management, Organizational Change, Management Training And Development, Leadership and Management, Storytelling, Business Transformation, Culture Transformation, Strategic Leadership, Drive Engagement, Organizational Leadership, Stakeholder Communications, Empathy, Stakeholder Engagement, Communication, Emotional Intelligence, Team Motivation, Sustainable Systems, Resilience, Constructive Feedback, Communication Strategies
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Meta Ads Manager, Facebook, Target Audience, Social Media Marketing, Social Media Campaigns, Personalized Campaigns, Online Advertising, Digital Marketing Tools, Digital Marketing Campaigns, Web Analytics, Systems Integration
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden
Ludwig-Maximilians-Universität München (LMU)
Kompetenzen, die Sie erwerben: Business Strategy, Game Theory, Competitive Analysis, Strategic Thinking, Competitive Intelligence, Product Strategy, Corporate Strategy, Strategic Partnership, Strategic Decision-Making, Market Opportunities, Market Analysis, Go To Market Strategy, Market Dynamics, New Product Development, Design and Product, Innovation, Coordination
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Apache Spark, PySpark, Databricks, Data Processing, Big Data, Apache, Real Time Data, Model Training, Python Programming, Model Evaluation, Data Manipulation, Machine Learning, SQL, Data Transformation, Performance Tuning, Distributed Computing
Mittel · Kurs · 1–3 Monate

Northeastern University
Kompetenzen, die Sie erwerben: Model Training, Natural Language Processing, Embeddings, Model Optimization, Data Ethics, Responsible AI, Deep Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Machine Learning, Artificial Intelligence, Classification Algorithms
Gemischt · Kurs · 1–4 Wochen

Universidad de los Andes
Kompetenzen, die Sie erwerben: Technical Analysis, Financial Trading, Financial Market, Performance Measurement, Capital Markets, Market Trend, Investment Management, Investments, Securities Trading, Applied Machine Learning, Market Data, Machine Learning Methods, Return On Investment, Statistical Machine Learning, Financial Analysis, Machine Learning Algorithms, Model Evaluation, Machine Learning, Classification Algorithms, Financial Data
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Power BI, Data Analysis Expressions (DAX), Pivot Tables And Charts, Data Manipulation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Data Integration, Dashboard, Role-Based Access Control (RBAC), Data Import/Export, Relational Databases, Security Controls
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Unreal Engine, Video Game Development, Animation and Game Design, Game Design, Animations, User Interface (UI), Interactive Design, Prototyping, Virtual Environment, Simulation and Simulation Software, Visualization (Computer Graphics), Simulations, Artificial Intelligence, User Interface (UI) Design, 3D Assets, Physics, Event-Driven Programming, UI Components, Scripting, Development Environment
Mittel · Spezialisierung · 3–6 Monate

Pearson
Kompetenzen, die Sie erwerben: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Tensorflow, LLM Application, Transfer Learning, Computer Vision, Fine-tuning, Responsible AI, Generative Model Architectures, Model Training, Natural Language Processing, Embeddings, Artificial Neural Networks
Mittel · Spezialisierung · 1–4 Wochen

Kompetenzen, die Sie erwerben: Modell Ausbildung, Bewertung des Modells, Cloud-API, Google Cloud-Plattform, Maschinelles Lernen, Cloud-Speicher, Bildanalyse, Computer Vision, Prädiktive Analytik, Modell-Einsatz, Angewandtes maschinelles Lernen, Modellevaluation
Mittel · Projekt · Weniger als 2 Stunden