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.

Real Madrid Graduate School Universidad Europea
Kompetenzen, die Sie erwerben: Precision Medicine, Accident Prevention, Data Ethics, Kinesiology, Applied Machine Learning, AI Enablement, Bayesian Network, Child Development, Working With Children, Machine Learning, Data-Driven Decision-Making, Epidemiology, Continuous Monitoring, Load Balancing, Decision Support Systems, Emerging Technologies, Predictive Modeling, Health Education, Biomedical Engineering, Data Integration
Anfänger · Spezialisierung · 3–6 Monate

Alberta Machine Intelligence Institute
Kompetenzen, die Sie erwerben: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics
Mittel · Spezialisierung · 1–3 Monate
University of Colorado Boulder
Kompetenzen, die Sie erwerben: Computational Logic, Verification And Validation, Systems Architecture, Systems Design, Hardware Design, Mathematical Modeling, Theoretical Computer Science, Systems Analysis, Computer Architecture, Systems Engineering, Communication Systems, Software Design, Software Architecture, Model Evaluation, Software Testing, Graph Theory, Software Quality Assurance, Computer Programming Tools, Algorithms, Logical Reasoning
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: System Monitoring, Dashboard, Application Performance Management, Site Reliability Engineering, Continuous Monitoring, Event Monitoring, Performance Tuning, Performance Metric, Service Level, Generative AI, MLOps (Machine Learning Operations), Business Metrics, Analysis, Service Level Agreement, Distributed Computing, Incident Management, Real Time Data, Data Integration
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Prompt Engineering, Generative AI Agents, Google Gemini, Retrieval-Augmented Generation, Responsible AI, Generative AI, Google Cloud Platform, AI Enablement, Gemini, AI Product Strategy, Google Workspace, Customer Engagement, AI Workflows, Agentic systems, AI Security, Google Docs, Cloud Infrastructure, Artificial Intelligence, Cloud Computing, Collaboration
Anfänger · Spezialisierung · 3–6 Monate

Duke University
Kompetenzen, die Sie erwerben: Maschinelles Lernen, Datenmanagement, Menschenzentriertes Design, Klassifizierungs- und Regressionsbaum (CART), MLOps (Maschinelles Lernen Operations), Datenverarbeitung, Datenethik, User Experience Design, Modell-Bereitstellung, Datenvorverarbeitung, Unüberwachtes Lernen, Verantwortungsvolle KI, Projektmanagende Life Cycle, Projektmanagement, Modellevaluation, Deep Learning, Mensch-Computer-Interaktion, Produktdesign, Produktmanagement, Datenqualität
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Data Persistence, File I/O, C (Programming Language), Game Design, Programming Principles, Debugging, Data Modeling, Computational Thinking, Data Integrity, Program Development, Application Development, Data Maintenance, Computational Logic, Data Validation, Command-Line Interface, Application Design, Animation and Game Design, User Interface (UI), Algorithms, Data Structures
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: AutoCAD, Architectural Drawing, 3D Modeling, Computer-Aided Design, Drafting and Engineering Design, Architectural Design, Building Design, As-Built Drawings
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Threat Modeling, Application Security, Secure Coding, Open Web Application Security Project (OWASP), Security Engineering, Security Requirements Analysis, Security Controls, Data Security, Vulnerability Management, Computer Security, Vulnerability, Vulnerability Assessments, Databases, Information Privacy, Role-Based Access Control (RBAC), Computer Programming, Python Programming, Node.JS, JavaScript Frameworks, Javascript
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Funktionsübergreifende Zusammenarbeit, Wert-Angebote, Produktstrategie, Projektmanagement, Produktlebenszyklus-Management, Portfolio Management, Stakeholder-Management, Produktmanagement, Produktentwicklung, Geschäftlicher Scharfsinn, Marktforschung
Anfänger · Kurs · 1–3 Monate
Kompetenzen, die Sie erwerben: Kubernetes, Containerization, CI/CD, Cloud-Native Computing, Microservices, Application Deployment, Continuous Deployment, Application Lifecycle Management, YAML, Package and Software Management, Release Management, Configuration Management, Version Control, Application Security, Command-Line Interface
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, LangChain, LLM Application, AI Workflows, Performance Tuning, Model Deployment, Prompt Engineering, Enterprise Application Management, Maintainability, System Monitoring, Scalability, Application Performance Management, Cost Reduction, Vector Databases
Mittel · Kurs · 1–4 Wochen