LLM-Kurse können Ihnen helfen zu verstehen, wie große Sprachmodelle trainiert, strukturiert und angewendet werden. Sie können Fähigkeiten in Prompting, Modellbewertung, Datenaufbereitung und generativen Techniken aufbauen. Viele Kurse stellen Python-Tools, APIs und Projektbeispiele vor.

Kompetenzen, die Sie erwerben: Data Validation, Object Oriented Design, Object Oriented Programming (OOP), Customer Data Management, Business Logic, Financial Data, User Interface (UI), Program Development, Real Time Data, Command-Line Interface, UI Components, Scripting, Brokerage, Python Programming
Mittel · Kurs · 1–4 Wochen

Universidades Anáhuac
Kompetenzen, die Sie erwerben: Predictive Modeling, Model Evaluation, Data Cleansing, Time Series Analysis and Forecasting, Database Management, Artificial Neural Networks, SQL, Predictive Analytics, Databases, Model Training, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Data Quality, Tensorflow, Statistical Modeling, Data Modeling, Data Visualization Software, Forecasting, Convolutional Neural Networks
Mittel · Spezialisierung · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Memory Management, C and C++, Scalability, Performance Tuning, C++ (Programming Language), Microarchitecture, Computer Architecture, Cross Platform Development, Hardware Architecture, Computing Platforms, C (Programming Language), Program Development
Anfänger · Kurs · 1–4 Wochen

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Fine-tuning, CI/CD, Hugging Face, Continuous Deployment, Model Evaluation, Applied Machine Learning, Continuous Integration, Model Training, Transfer Learning, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Model Optimization, Data Pipelines, Natural Language Processing
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Feature Engineering, Agentic Workflows, AI Orchestration, Generative AI Agents, Model Optimization, Model Training, Data Ethics, Responsible AI, Model Deployment, Agentic systems, Artificial Intelligence, Generative AI, MLOps (Machine Learning Operations), Data Transformation, Model Evaluation, Reinforcement Learning, Code Reusability, Fine-tuning, System Design and Implementation, Python Programming
Mittel · Kurs · 1–3 Monate

University of Pittsburgh
Kompetenzen, die Sie erwerben: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, File Systems, Data Science, Data Transformation, Information Technology, Data Analysis
Auf einen Abschluss hinarbeiten
Mittel · Kurs · 1–4 Wochen

Board Infinity
Kompetenzen, die Sie erwerben: Backlogs, Scaled Agile Framework, Stakeholder Engagement, Jira (Software), Agile Product Development, Stakeholder Management, Release Management, Stakeholder Communications, Real Time Data, Agile Project Management, Product Roadmaps, Program Management, Project Portfolio Management, Agile Methodology, Management Reporting, Business Priorities, Continuous Delivery, Prioritization, CI/CD, Workflow Management
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Spring Framework, Java Programming, Java, Application Frameworks, Object Oriented Design, Object Oriented Programming (OOP), Software Design Patterns, Extensible Markup Language (XML)
Gemischt · Kurs · 1–4 Wochen

Universidad Nacional Autónoma de México
Kompetenzen, die Sie erwerben: Patient Education and Support, Patient-centered Care, Oral Comprehension, Grammar, Language Learning
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: C++ (Programming Language), Software Documentation, Performance Tuning, Application Design, Technical Documentation, Application Development, Memory Management, Data Structures, Generative AI, Algorithms, Scalability
Anfänger · Kurs · 1–3 Monate

Ball State University
Kompetenzen, die Sie erwerben: Data Ethics, Data Collection, Probability & Statistics, Statistics, Sampling (Statistics), R (Software), Data Science, R Programming, Statistical Methods, General Science and Research, Data Structures, Data Analysis, Statistical Programming, Responsible AI, Information Privacy, Informed Consent, Social Impact, Ethical Standards And Conduct, Algorithms, Big Data
Auf einen Abschluss hinarbeiten
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: HTML und CSS, Cascading Style Sheets (CSS), Erweiterbare Sprachen und XML, Hypertext Markup Language (HTML), Erweiterbare Markup-Sprache (XML)
Mittel · Kurs · 1–4 Wochen