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: Datenanalyse, Interaktive Datenvisualisierung, Python-Programmierung, Verantwortungsvolle AI, Analytik, Daten-Ethik, ChatGPT, Schnelles Engineering, Datenverarbeitung, OpenAI, Daten-Synthese, Erstellung des Dashboards, KI-Kenntnisse, Generative KI, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Prompt Engineering Tools, Daten-Storytelling, Generative Modellarchitekturen, Prompt-Muster, Erweiterte und virtuelle Realität (AR/VR)
Mittel · Spezialisierung · 1–3 Monate

DeepLearning.AI
Kompetenzen, die Sie erwerben: Fine-tuning, Large Language Modeling, Model Training, Model Evaluation, Reinforcement Learning, Model Optimization
Mittel · Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Plot (Graphics), Scripting, Scientific Visualization, Graphing, Scripting Languages, Data Visualization Software, Scalability, Code Reusability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Matlab, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Verantwortungsvolle AI, Kontinuierliche Überwachung, Bewertung des Modells, MLOps (Operationen für maschinelles Lernen), Modell-Optimierung, Generative KI, Modellevaluation
Mittel · Kurs · 1–4 Wochen

Pearson
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, DevOps, Data Processing, Model Training, Data Collection, Data Management, Cloud Deployment, Model Evaluation, Machine Learning Methods, Automation, Data Pipelines, Feature Engineering, Continuous Monitoring
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Feature Engineering, Extract, Transform, Load, Data Pipelines, Data Transformation, Model Evaluation, Pandas (Python Package), Data Storytelling, Data Presentation, Data Preprocessing, Data Processing, PySpark, Data Quality, Apache Spark, Data-Driven Decision-Making, A/B Testing, Data Analysis, Model Training, Data Visualization, Data Governance, Machine Learning
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Generative AI Agents, Standard Operating Procedure, Customer Support, Client Support, AI literacy, Product Support, Procedure Development, AI Personalization, Customer Analysis, Personalized Service, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Integrations, Customer experience improvement, Augmented and Virtual Reality (AR/VR)
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Prompt Engineering, Large Language Modeling, Natural Language Processing, LLM Application, Multimodal Prompts, Recurrent Neural Networks (RNNs), Text Mining, Embeddings, Generative AI, Deep Learning, Fine-tuning, Generative Model Architectures, Artificial Neural Networks, Machine Learning, Data Ethics
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Responsible AI, Business Analysis, Data-Driven Decision-Making, Data Analysis, AI Enablement, AI Integrations, Business Analytics, AI literacy, Data Storytelling, Artificial Intelligence, Business Process Automation, Stakeholder Communications, Artificial Intelligence and Machine Learning (AI/ML), Business Strategy, Augmented and Virtual Reality (AR/VR)
Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Responsible AI, AI Integrations, Software Documentation, Generative Model Architectures, Technical Documentation, Artificial Intelligence and Machine Learning (AI/ML), Enterprise Architecture, Solution Architecture, Data Ethics, AI Orchestration, Solution Design, Model Evaluation, Machine Learning, Systems Architecture, Computer Science, Scalability, Image Quality, Natural Language Processing, Algorithms, Data Science
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, Model Training, Data Integrity, Model Optimization, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms
Mittel · Kurs · 3–6 Monate