Programa Especializado en Inteligencia Artificial
Completed by Deybby Angel Rosario Almonte on January 5, 2026
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Programa Especializado en Inteligencia Artificial
Learning objectives
- Implementar técnicas avanzadas de aprendizaje automático, incluyendo métodos de ensamblaje y aprendizaje por transferencia, utilizando Python.
- Construir y entrenar modelos de aprendizaje supervisado para tareas de regresión y clasificación binaria, aplicando bibliotecas populares como NumPy y scikit-learn.
- Analizar implicaciones éticas y desarrollar estrategias para la inteligencia artificial responsable, diseñando sistemas escalables de IA para escenarios de alto rendimiento.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Algorithms
- Machine Learning Methods
- Applied Machine Learning
- Ethical Standards And Conduct
- Dimensionality Reduction
- Responsible AI
- Artificial Intelligence
- Restful API
- Distributed Computing
- Predictive Modeling
- Information Privacy
- Microsoft Azure
- Supervised Learning
- Web Scraping
- Generative AI
- Programming Principles
- Python Programming
- Unsupervised Learning
- Regression Analysis
- Statistical Modeling
- Data Structures
- Feature Engineering
- Machine Learning
- Data Manipulation
- Jupyter
- JSON
- NumPy
- Scalability
- Data Processing
- Statistical Analysis
- Computer Programming
- Data Ethics
- Data Transformation
- Scripting
- Automation
- Data Analysis
- Scikit Learn (Machine Learning Library)
- MLOps (Machine Learning Operations)
- Classification And Regression Tree (CART)
- Pandas (Python Package)
- Object Oriented Programming (OOP)
- Application Programming Interface (API)
- Skills section collapsed. Showing 6 of 43 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.