Prompt-Engineering-Kurse können Ihnen helfen zu verstehen, wie Eingaben formuliert werden, um KI-Modelle präzise zu steuern. Sie können Fähigkeiten in Strukturierung, Evaluierung, Iteration und Anwendungsstrategien aufbauen. Viele Kurse stellen Beispiele, Frameworks und Tools vor, um bessere KI-Ausgaben zu entwickeln.
Universidad de los Andes
Kompetenzen, die Sie erwerben: Social Network Analysis, Systems Thinking, Computer Vision, Deep Learning, Reinforcement Learning, Unsupervised Learning, Data Storytelling, Engineering Management, Natural Language Processing, Time Series Analysis and Forecasting, Predictive Modeling, Project Management Life Cycle, MLOps (Machine Learning Operations), Marketing Analytics, Financial Statements, Logistic Regression, Data-Driven Decision-Making, Financial Data, Environmental Management Systems, Transfer Learning
Abschluss · 1–4 Jahre

Northeastern University
Kompetenzen, die Sie erwerben: Data Storytelling, Generative AI, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Data Presentation, Generative Model Architectures, Web Scraping, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Natural Language Processing, NoSQL, Exploratory Data Analysis, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting
Abschluss · 1–4 Jahre

University of London
Kompetenzen, die Sie erwerben: Key Management, OSI Models, Human Factors (Security), Security Management, Computer Security Incident Management, Information Privacy, Infrastructure Security, Cyber Governance, Application Security, Computer Security, Cryptography, Network Security, Business Continuity Planning, Digital Forensics, Malware Protection, Penetration Testing, Security Engineering, Secure Coding, Data Collection, Research Methodologies
Abschluss · 1–4 Jahre

Ball State University
Kompetenzen, die Sie erwerben: Data Ethics, Software Engineering, Responsible AI, Graph Theory, Statistical Machine Learning, File Systems, Data Visualization, Database Systems, Spatial Analysis, Exploratory Data Analysis, Financial Statement Analysis, Theoretical Computer Science, Statistical Hypothesis Testing, SAS (Software), Statistical Methods, Cryptography, Full-Stack Web Development, Object Oriented Programming (OOP), Statistical Inference, Artificial Intelligence
Abschluss · 1–4 Jahre

Ball State University
Kompetenzen, die Sie erwerben: Data Ethics, Software Engineering, Responsible AI, Graph Theory, Statistical Machine Learning, File Systems, Data Visualization, Database Systems, Spatial Analysis, Exploratory Data Analysis, Financial Statement Analysis, Theoretical Computer Science, SAS (Software), Statistical Methods, Cryptography, Full-Stack Web Development, Object Oriented Programming (OOP), Statistical Hypothesis Testing, Statistical Inference, Artificial Intelligence
Abschluss · 1–4 Jahre

Mittel · Kurs

Universidad de los Andes
Kompetenzen, die Sie erwerben: User Story, Software Architecture, Design Thinking, Process Analysis, Cloud Services, Business Modeling, Computer Security Incident Management, Product Lifecycle Management, Data Storytelling, Corporate Communications, Kotlin, Information Technology Infrastructure Library, Engineering Management, Project Management, Artificial Intelligence, Feasibility Studies, Financial Statement Analysis, IT Management, Financial Statements, Logistic Regression
Abschluss · 1–4 Jahre
Universidad de los Andes
Kompetenzen, die Sie erwerben: User Story, Software Architecture, Test Automation, Software Design, Version Control, Systems Architecture, Software Testing, Unified Modeling Language, Agile Software Development, Test Script Development, Maintainability, Git (Version Control System), JavaScript Frameworks, Software Design Patterns, Usability, Cucumber (Software), Agile Methodology, Application Frameworks, Unit Testing, Web Content Accessibility Guidelines
MasterTrack · 6–12 Monate
University of Illinois at Urbana-Champaign
Abschluss · 1–4 Jahre