ML-Kurse können Ihnen helfen zu lernen, wie Modelle entwickelt, trainiert und bewertet werden. Sie können Fähigkeiten in Algorithmen, Datenaufbereitung, Modelloptimierung und Analyse aufbauen. Viele Kurse stellen Python-Bibliotheken, Tools und Beispielprojekte vor.

Kompetenzen, die Sie erwerben: Prompt Engineering, ChatGPT, Education Software and Technology, AI Personalization, Prompt Engineering Tools, Digital pedagogy, Collaborative Software, Generative AI, AI Integrations, AI Workflows
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: User Acceptance Testing (UAT), Product Requirements, LLM Application, User Requirements Documents, Acceptance Testing, AI Product Strategy, Large Language Modeling, User Story, Verification And Validation, Test Planning, Functional Requirement, Functional Testing, Business Requirements, Requirements Analysis, Key Performance Indicators (KPIs), Prioritization
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Unreal Engine, Video Game Development, Game Design, Virtual Environment, Interactive Design
Gemischt · Kurs · 1–4 Wochen

Institut Mines-Télécom
Kompetenzen, die Sie erwerben: Internet Of Things, Network Protocols, TCP/IP, Interoperability, Communication Systems, Digital Communications, Telecommunications, Open Source Technology, Virtual Machines, Virtual Environment
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, Image Quality, Color Theory
Gemischt · Kurs · 1–4 Wochen
Coursera
Kompetenzen, die Sie erwerben: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Cyber Governance, Infrastructure Security, Application Security, Security Controls, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Anomaly Detection, Data Integrity, Engineering
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Probability & Statistics, Transfer Learning, NumPy, Matplotlib, Model Training, Model Optimization, Convolutional Neural Networks, Deep Learning, Applied Machine Learning, Statistics, Data Visualization, Keras (Neural Network Library), Statistical Hypothesis Testing, Fine-tuning, Machine Learning Methods, Python Programming
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Continuous Delivery, Dependency Analysis, Performance Tuning, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Bash (Scripting Language), Shell Script, Linux Commands, Unix Shell, Linux, Scripting, Command-Line Interface, Scripting Languages, IT Automation, Debugging, Development Environment, System Configuration, File Management
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Transfer Learning, Model Training, Model Optimization, Image Quality, Computer Vision, Image Analysis, Data Pipelines, Data Transformation, Data Manipulation, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Speicherverwaltung
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Visual Storytelling, AI powered creativity, Prompt Engineering, Generative AI, AI literacy, OpenAI, Responsible AI, Artificial Intelligence, Creative Design, Image Quality, Design, Digital Design, Blockchain, Machine Learning
Anfänger · Kurs · 1–3 Monate