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.

Coursera
Kompetenzen, die Sie erwerben: Prompt Engineering, Microsoft Copilot, AI Workflows, AI Enablement, Generative AI Agents, Model Deployment, No-Code Development, Performance Tuning, Business Logic, Application Deployment, Scalability, Data Integration, User Feedback
Mittel · Kurs · 1–4 Wochen

University of Amsterdam
Kompetenzen, die Sie erwerben: Ethische Standards und Verhaltensweisen, Experimentieren, Wissenschaft und Forschung, Stichproben (Statistik), Forschungsdesign, Umfragen, Quantitative Forschung, Methoden der Forschung, Wissenschaftliche Methoden, Forschung, Sozialwissenschaften
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: User Story, Prompt Engineering, No-Code Development, User Feedback, Technical Communication, Application Deployment, AI Security, Performance Tuning, Data Wrangling, Version Control, Business Process Automation, API Testing, DevSecOps, Site Reliability Engineering, Integration Testing, Application Security, Application Programming Interface (API), Agile Methodology, LLM Application, Data Integration
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Threat Modeling, Data Loss Prevention, Mobile Security, DevSecOps, MLOps (Machine Learning Operations), Vulnerability Scanning, Incident Response, LLM Application, Security Engineering, Anomaly Detection, Application Security, Responsible AI, Security Controls, Data Security, CI/CD, Infrastructure Security, Continuous Monitoring, Penetration Testing, Process Optimization, Vulnerability Assessments
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: AI Workflows, OpenAI API, LLM Application, OpenAI, Model Context Protocol, Generative AI Agents, Agentic systems, Tool Calling, Prompt Engineering, ChatGPT, Artificial Intelligence, Application Programming Interface (API), User Interface (UI), Context Management, Large Language Modeling, Python Programming, Development Environment, Application Deployment, Debugging
Mittel · Kurs · 1–4 Wochen
University of Colorado Boulder
Kompetenzen, die Sie erwerben: Object Oriented Design, User Story, New Product Development, Real-Time Operating Systems, Model Based Systems Engineering, Model Evaluation, Field-Programmable Gate Array (FPGA), Delegation Skills, Sampling (Statistics), Sustainable Business, Proposal Writing, Supplier Management, Accountability, Data Ethics, Sustainability Reporting, Supervised Learning, Database Design, Generative AI, Process Capability, Diversity Equity and Inclusion Initiatives
Erwerben Sie ein Zertifikat
Abschluss · 1–4 Jahre

Kompetenzen, die Sie erwerben: Azure Synapse Analytics, Performance Tuning, Microsoft Azure, System Monitoring, Data Engineering, Transact-SQL, Star Schema, Power BI, PySpark, Data Cleansing, Data Analysis Expressions (DAX), Apache Spark, Data Warehousing, Analytics, Data Modeling, Data Analysis, SQL, Azure Active Directory, Advanced Analytics, Microsoft Copilot
Mittel · Spezialisierung · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Google Gemini, Retrieval-Augmented Generation, Generative AI, AI Enablement, AI Orchestration, Customer experience improvement, Enterprise Security, Artificial Intelligence, LLM Application, Decision Making, Cloud Infrastructure, Organizational Strategy, Cloud Computing, Cloud Platforms, Customer experience strategy (CX), Innovation, MLOps (Machine Learning Operations), Change Management, Collaboration
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Content Performance Analysis, Google Gemini, Generative AI, Content Strategy, Content Marketing, AI Workflows, ChatGPT, Google Analytics, AI Product Strategy, Responsible AI, Content Creation, Metadata Management, Customer Insights, Market Intelligence, Ethical Standards And Conduct
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Agentic Workflows, Prompt Engineering, Agentic systems, AI Personalization, AI Enablement, Artificial Intelligence, Human Computer Interaction, Human Centered Design, Responsible AI, User Flows, User Experience Design, Context Management
Mittel · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
Mittel · Kurs · 1–4 Wochen

Northeastern University
Kompetenzen, die Sie erwerben: Data Storytelling, Software Quality Assurance, Open Web Application Security Project (OWASP), Text Mining, Database Design, Agile Software Development, Software Development Life Cycle, Data Governance, Unsupervised Learning, Interactive Data Visualization, Software Architecture, Plotly, Cybersecurity, Classification Algorithms, PyTorch (Machine Learning Library), Statistical Hypothesis Testing, Java, Depreciation, Probability & Statistics, Cash Flows
Erwerben Sie ein Zertifikat
Abschluss · 1–4 Jahre