Informatik-Kurse können Ihnen helfen, grundlegende Konzepte wie Algorithmen, Datenstrukturen, Berechnung und Architektur von Computersystemen zu verstehen. Sie können Fähigkeiten in Problemanalyse, Programmierlogik und dem Entwurf von Softwarelösungen aufbauen. Viele Kurse führen in klassische Themen wie Komplexität, Betriebssysteme und Netzwerke ein und nutzen Werkzeuge aus der Praxis.

Board Infinity
Kompetenzen, die Sie erwerben: AI Orchestration, AI Workflows, Retrieval-Augmented Generation, Generative Model Architectures, LLM Application, Decision Intelligence, Solution Architecture, Generative AI, AI Product Strategy, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Generative AI Agents, Artificial Intelligence, Unstructured Data, Systems Architecture, Agentic systems, Software Architecture, Data Engineering, Feasibility Studies, Vector Databases
Mittel · Kurs · 1–4 Wochen

Rice University
Kompetenzen, die Sie erwerben: Algorithmen, Theoretische Informatik, Analyse, Grundsätze der Programmierung, Datenanalyse, Graphentheorie, Daten-Strukturen, Netzwerkanalyse, Computational Thinking, Python-Programmierung, Programm-Entwicklung
★ 4.6 (384) · Mittel · Kurs · 1–4 Wochen

Board Infinity
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, AI Workflows, Agentic Workflows, Vector Databases, LangGraph, LangChain, LLM Application, Generative AI Agents, Embeddings, Application Performance Management, Large Language Modeling, Agentic systems, Semantic Web, Software Visualization, Performance Tuning, Context Management, Debugging, Memory Management
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Project Estimation, Estimation, Cost Estimation, Functional Requirement, Software Development Methodologies, Requirements Analysis, Functional Specification, Systems Analysis, Software Development Life Cycle, Project Planning, Software Development, Transaction Processing
Gemischt · Kurs · 1–4 Wochen
University of Michigan
Kompetenzen, die Sie erwerben: Programming Principles, Computer Programming, Code Reusability, Python Programming, Program Development, Software Installation, Computational Logic, IT Automation, Computational Thinking, Data Storage, Development Environment
★ 4.8 (106) · Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: No-Code Development, Mobile Development, Google Sheets, Application Development, Mobile Development Tools, Google Workspace, Application Design, Application Deployment, Development Testing, Spreadsheet Software, Data Structures, User Interface (UI), User Accounts, Persona (User Experience), Authentications, User Feedback, Web Development, Marketing
★ 4.5 (685) · Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: DevSecOps, Code Review, Maintainability, Software Quality (SQA/SQC), Software Quality Assurance, Secure Coding, Application Security, Software Technical Review, Continuous Integration, Continuous Deployment, CI/CD, Vulnerability Scanning, Vulnerability Management, Analysis, Cyber Security Assessment, Security Strategy, Cyber Governance, Security Management, Cyber Security Strategy, Security Awareness
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Model Optimization, Large Language Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Fine-tuning, Model Training, Agentic systems, Machine Learning Algorithms, Machine Learning, Python Programming, Applied Machine Learning, Natural Language Processing, Performance Tuning, Algorithms, Model Evaluation, Data Analysis
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Code Reusability, Model Training, Test Script Development, Continuous Delivery, Test Automation, Model Evaluation, Continuous Integration, Technical Documentation, API Design, Application Programming Interface (API), Data Validation, Applied Machine Learning, Machine Learning Methods, Maintainability, Version Control, Package and Software Management, Code Review
Mittel · Kurs · 1–3 Monate

University of Michigan
Kompetenzen, die Sie erwerben: Benutzerfreundliches Design, Benutzererfahrung, Technische Kommunikation, Prüfung der Benutzerfreundlichkeit, Mensch-Computer-Interaktion, Benutzerfreundlichkeit, Interviewing-Fähigkeiten, Designforschung, UI/UX-Forschung, Planung der Prüfung, Nutzerforschung
★ 4.8 (303) · Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Business Process Automation, Robotic Process Automation, Agentic systems, Process Analysis, Business Process Modeling, Business Process, Agentic Workflows, Process Design, Business Systems Analysis, Process Mapping, Workflow Management, Business Process Management, Process Modeling, Business Analysis, Automation, Solution Design, Generative AI Agents, User Acceptance Testing (UAT), Solution Delivery, Test Planning
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Test Automation, Object Oriented Programming (OOP), CI/CD, Test Script Development, File I/O, Unit Testing, Continuous Integration, Jupyter, Data Import/Export, DevOps, IT Automation, Application Programming Interface (API), Devops Tools, Software Testing, Maintainability, Scripting, Integrated Development Environments, Python Programming, Development Environment, Scripting Languages
Mittel · Spezialisierung · 3–6 Monate