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.

Whizlabs
Kompetenzen, die Sie erwerben: Selenium (Software), Debugging, Software Testing, Unit Testing, Test Automation, UI Components, Web Applications, Test Case, Development Environment, Python Programming
Anfänger · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: API Gateway, Cloud Applications, Google Cloud Platform, Cloud Infrastructure, Application Deployment, Cloud-Native Computing, Prompt Engineering, Kubernetes, Cloud Development, Serverless Computing, Microservices, Containerization, Application Development, Application Programming Interface (API), Infrastructure as Code (IaC), Cloud Services, Identity and Access Management, Cloud Computing, Cloud Storage, Debugging
Mittel · Spezialisierung · 3–6 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Feature Engineering, Tensorflow, Data Transformation, Data Processing, Keras (Neural Network Library), Data Pipelines, Data Modeling, Machine Learning, Python Programming, Statistical Methods
Mittel · Kurs · 1–3 Monate

Microsoft
Kompetenzen, die Sie erwerben: GitHub, HTML and CSS, Git (Version Control System), Microsoft Copilot, Web Development, Web Content Accessibility Guidelines, Responsive Web Design, Javascript, Front-End Web Development, JSON, Semantic Web
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Verantwortungsvolle KI, Schnelles Engineering, Analytics, Erstellung von Inhalten, Generative KI, Datenethik, Markenmarketing, Datenanalyse, Markenmanagement, Marketing-Analytik, AI-Personalisierung, Markenstrategie, Content Marketing
Mittel · Kurs · 1–4 Wochen

Amazon Web Services
Kompetenzen, die Sie erwerben: Prompt Engineering, Amazon Bedrock, Responsible AI, Infrastructure as Code (IaC), Amazon CloudWatch, Application Deployment, Amazon Elastic Compute Cloud, CI/CD, AWS CloudFormation, Unit Testing, Continuous Deployment, Continuous Integration, DevOps, Generative AI, DevSecOps, Code Review, Amazon Web Services, Serverless Computing, Containerization, Data Analysis
Anfänger · Spezialisierung · 1–3 Monate

University of Colorado Boulder
Kompetenzen, die Sie erwerben: Performance Measurement, Competitive Analysis, Business Modeling, Leadership and Management, Market Research, Operational Analysis, Entrepreneurship, Target Market, Product Development, Systems Thinking, Business Strategies, Technology Strategies, Business Strategy, Organizational Leadership, Market Analysis, Product Management, Leadership, Engineering Management, Engineering
Auf einen Abschluss hinarbeiten
Anfänger · Kurs · 1–3 Monate

University of Colorado System
Kompetenzen, die Sie erwerben: Systems Engineering, Verification And Validation, Team Management, Systems Architecture, Requirements Analysis, Requirements Elicitation, Scrum (Software Development), Systems Development Life Cycle, Teamwork, Configuration Management, Team Building, Agile Methodology, Scaled Agile Framework, Systems Development, Team Motivation, Organizational Leadership, Engineering Management, Risk Management, Waterfall Methodology, Leadership and Management
Mittel · Spezialisierung · 3–6 Monate

Whizlabs
Kompetenzen, die Sie erwerben: Microsoft Azure, Role-Based Access Control (RBAC), Cloud Storage, Identity and Access Management, Cloud Management, Data Management, Data Security, Data Governance, Data Encryption Standard
Mittel · Kurs · 1–4 Wochen

MathWorks
Kompetenzen, die Sie erwerben: Generative AI, LLM Application, Matlab, Code Review, Prototyping, Software Documentation
Anfänger · Kurs · 1–4 Wochen

University of Colorado System
Kompetenzen, die Sie erwerben: Estimation, Mathematical Modeling, Control Systems, Simulations, Linear Algebra, Applied Mathematics, Time Series Analysis and Forecasting, Matlab, Probability & Statistics, Probability Distribution
Mittel · Kurs · 1–4 Wochen

Arizona State University
Kompetenzen, die Sie erwerben: Semiconductors, Electronic Components, Laboratory Research, Electrical Engineering, Electronics Engineering, Electronics, Data Analysis Software
Mittel · Kurs · 1–3 Monate