Deep-Learning-Kurse können Ihnen helfen zu lernen, wie neuronale Netze aufgebaut, trainiert und bewertet werden. Sie können Fähigkeiten in Modellarchitekturen, Optimierung, Datenaufbereitung und Evaluationsmethoden aufbauen. Viele Kurse stellen Frameworks und Tools vor, die das Experimentieren mit tiefen Modellen unterstützen.

Pontificia Universidad Católica de Chile
Kompetenzen, die Sie erwerben: Predictive Analytics, Unsupervised Learning, Data Cleansing, Plot (Graphics), Exploratory Data Analysis, Data Visualization, Model Evaluation, Graphing, Regression Analysis, Dimensionality Reduction, Model Optimization, Descriptive Analytics, Supervised Learning, Data Science, Matplotlib, Predictive Modeling, Machine Learning Methods, Data-Driven Decision-Making, Data Processing, Data Integration
MasterTrack · 6–12 Monate

Kompetenzen, die Sie erwerben: Spatial Analysis, C# (Programming Language)
Mittel · Kurs · 1–3 Monate

Universidad de los Andes
Kompetenzen, die Sie erwerben: Real-Time Operating Systems, Semantic Web, Supervised Learning, Unsupervised Learning, LangChain, Cloud-Native Computing, Continuous Deployment, Reinforcement Learning, Financial Statement Analysis, Data Storytelling, Classification Algorithms, Computer Vision, Biomedical Engineering, Natural Language Processing, MLOps (Machine Learning Operations), Artificial Intelligence, Project Management Institute (PMI) Methodology, Recurrent Neural Networks (RNNs), Marketing Analytics, Data Ethics
Abschluss · 1–4 Jahre

Board Infinity
Anfänger · Kurs · 1–3 Monate

Clemson University
Kompetenzen, die Sie erwerben: Human Computer Interaction, Large Language Modeling, Database Systems, Database Management, Dimensionality Reduction, Database Design, Database Management Systems, Generative AI, Model Evaluation, Model Optimization, Software Development Methodologies, Usability, Data Preprocessing, Data Mining, Data Structures, Systems Development Life Cycle, Responsible AI, Algorithms, Machine Learning Methods, Human Factors
Abschluss · 1–4 Jahre

Illinois Institute of Technology
Kompetenzen, die Sie erwerben: Database Design, Database Systems, Statistical Analysis, Time Series Analysis and Forecasting, Relational Databases, Database Software, Databases, Database Application, Database Management, Database Theory, Data Analysis, NoSQL, Database Management Systems, Database Development, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Bayesian Statistics, Statistical Inference, Technical Communication, Model Evaluation
Abschluss · 1–4 Jahre

University of Pittsburgh
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, LLM Application, Tool Calling, Database Systems, Data Visualization, Predictive Modeling, Database Design, Model Evaluation, Web Services, Data Ethics, Apache Spark, Bayesian Statistics, Data Visualization Software, Unsupervised Learning, Linear Algebra, Model Deployment, Data Governance, Regression Analysis, Applied Machine Learning, Data Analysis
Abschluss · 1–4 Jahre

University of Leeds
Kompetenzen, die Sie erwerben: Data Ethics, Social Network Analysis, Data Presentation, Statistical Machine Learning, Classification And Regression Tree (CART), Data Storytelling, R (Software), Exploratory Data Analysis, Bayesian Statistics, Statistical Hypothesis Testing, Dimensionality Reduction, Data Analysis, Statistical Methods, Data Visualization, Statistical Visualization, Supervised Learning, Web Scraping, Statistical Modeling, Python Programming, Data Preprocessing
Abschluss · 1–4 Jahre

Indian Statistical Institute
Kompetenzen, die Sie erwerben: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Surveys, Statistical Machine Learning, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Database Management, Data Compilation, Economics, Probability & Statistics, Dimensionality Reduction, Statistical Methods, Lifelong Learning, Regression Analysis, Data Literacy, Social Studies, International Finance
Postgraduiertendiplom · 6–12 Monate

Ball State University
Kompetenzen, die Sie erwerben: Data Ethics, Graph Theory, Database Systems, Machine Learning Algorithms, Supervised Learning, Software Development Methodologies, File Systems, Data Visualization, Statistical Hypothesis Testing, Statistical Methods, Spatial Data Analysis, Cryptography, Object Oriented Programming (OOP), SAS (Software), Text Mining, Financial Data, Artificial Intelligence, Predictive Modeling, Statistical Programming, Natural Language Processing
Abschluss · 1–4 Jahre

Northeastern University
Kompetenzen, die Sie erwerben: Data Storytelling, Software Quality Assurance, Object Oriented Design, Process Mapping, Generative AI, Open Web Application Security Project (OWASP), Text Mining, Systems Development Life Cycle, Database Design, Agile Software Development, Test Automation, Data Governance, Unsupervised Learning, Integration Testing, Cybersecurity, Classification Algorithms, PyTorch (Machine Learning Library), Statistical Hypothesis Testing, User Experience Design, Natural Language Processing
Abschluss · 1–4 Jahre

Ball State University
Kompetenzen, die Sie erwerben: Data Ethics, Full-Stack Web Development, Graph Theory, Database Systems, Machine Learning Algorithms, Supervised Learning, Software Development Methodologies, File Systems, Data Visualization, Statistical Methods, Theoretical Computer Science, Cryptography, Object Oriented Programming (OOP), SAS (Software), Statistical Hypothesis Testing, Text Mining, Artificial Intelligence, Predictive Modeling, Statistical Programming, Natural Language Processing
Abschluss · 1–4 Jahre