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.

Kompetenzen, die Sie erwerben: Unix Shell, Unix Commands, Shell Script, Unix, Command-Line Interface, Scripting, System Monitoring, File Management, File Systems, OS Process Management, Operating Systems, Communication Systems
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Threat Modeling, IT Security Architecture, Application Security, Security Testing, Security Strategy, Information Systems Security, Security Engineering, Security Controls, Software Architecture, Software Development Methodologies, Software Development Life Cycle, DevSecOps, Cyber Security Strategy, Security Management, Business Strategies, Penetration Testing, Compliance Management
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Business Analysis Tools, Business Analysis, Agile Methodology, Stakeholder Analysis, Agile Project Management, Requirements Elicitation, Business Planning, Requirements Analysis, Business Requirements, Strategic Planning, Stakeholder Management, Business Strategies, Collaborative Software, Requirements Management, Organizational Strategy, Project Management Software, Microsoft Teams, ChatGPT, Prioritization
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Wrangling, Command-Line Interface, Data Transformation, Data Processing, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Integration, Data Management, Database Administration
Anfänger · Projekt · Weniger als 2 Stunden

Coursera
Kompetenzen, die Sie erwerben: Data Ethics, Data Validation, Generative AI, Prompt Engineering, Data Cleansing, Data Quality, Data Preprocessing, Large Language Modeling, Text Mining, Data Processing, Hugging Face, Data Collection, Token Optimization, Unstructured Data, Fine-tuning, Data Transformation, Data Pipelines, Model Evaluation
Mittel · Kurs · 1–4 Wochen

Duke University
Kompetenzen, die Sie erwerben: Web Design and Development, Web Development, Cloud Deployment, Web Development Tools, Cloud Hosting, Web Content, Rust (Programming Language), Content Management, Cloud Computing, Linux, Software Installation
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Metadata Management, Data Pipelines, Google Cloud Platform, Extract, Transform, Load, Cloud Storage, Data Infrastructure, Data Processing, Data Import/Export, Data Migration, Apache Airflow, PySpark, Data Storage, Data Lakes, Data Integration, Big Data, Data Management, Data Transformation, Serverless Computing
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: User Interface (UI), Vector Databases, User Interface (UI) Design, OpenAI API, UI Components, Figma (Design Software), AI Personalization, LLM Application, OpenAI, Embeddings, Application Development, Data Store, Frontend Integration, Artificial Intelligence, Data Processing, Database Management, Restful API, Web Development
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Northeastern University
Kompetenzen, die Sie erwerben: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Machine Learning Methods, Statistical Methods, Machine Learning Algorithms, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Statistical Inference, Verification And Validation, Dimensionality Reduction, Algebra
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Virtual Machines, Google Cloud Platform, Microsoft Azure, Load Balancing, Cloud Engineering, Cloud Computing Architecture, Virtualization and Virtual Machines, Public Cloud, Cloud Platforms, Multi-Cloud, Cloud Infrastructure, Infrastructure As A Service (IaaS), Virtual Networking, Network Routing, Firewall
Mittel · Kurs · 1–4 Wochen

Saïd Business School, University of Oxford
Kompetenzen, die Sie erwerben: AI powered creativity, Generative AI, Generative Model Architectures, AI Product Strategy, Media Production, Content Creation, AI literacy, Creativity, Responsible AI, AI Integrations, Media Strategy, AI Workflows, Media and Communications, Content Strategy, Content Optimization, Content Management, Compliance Management, Marketing Communications, Digital Transformation, Marketing
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Model Training, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Data Presentation, Hugging Face, Token Optimization, CI/CD, Tensorflow
Mittel · Spezialisierung · 3–6 Monate