INFORMATION
INTELIGENCIA ARTIFICIAL PARA PRESUPUESTOS DE CONSTRUCCIÓN Y REFORMAS
Técnicas y herramientas de ia para que los equipos de administración y comercial de empresas de obras y reformas elaboren presupuestos más precisos, rápidos y profesionales.
If the course has the status of IMMINENT ANNOUNCEMENT or IN PREPARATION, you can secure your place with a discount.
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"Inteligencia Artificial para Presupuestos de Construcción y Reformas" es un curso práctico dirigido al personal de administración y el equipo comercial de empresas del sector de la construcción y las reformas. En lenguaje directo y orientado a resultados, el participante aprende a utilizar herramientas de IA —especialmente Claude y ChatGPT— para acelerar y mejorar el proceso de elaboración de presupuestos. El curso combina fundamentos conceptuales con aplicación inmediata: desde entender qué puede y qué no puede hacer la IA, hasta crear plantillas de prompts conectadas con bases de datos de precios propias de la empresa, pasando por casos prácticos reales de reformas integrales, locales comerciales y rehabilitaciones de fachadas. El objetivo final es que cada participante salga del curso con un sistema propio de generación de presupuestos apoyado en IA, reduciendo el tiempo de elaboración y aumentando la calidad y profesionalidad del documento entregado al cliente.
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Encabezado 6
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Can the Course be FREE?:
10
8
40
1200
+18
Tailored
Yes, ask us how
Course Objectives
Understand the fundamentals of the Python language and its basic syntax.
Applying Python to technical calculations, data analysis, and simulations.
Develop scripts to automate repetitive tasks.
Visualize engineering data and results using dynamic graphics.
Who is it for?
Engineers, technicians, and STEM students interested in incorporating programming into their professional practice.
Career Opportunities
Automation of technical processes.
Data analysis and visualization in industrial or scientific environments.
Development of customized tools for engineering.
Requirements
Basic knowledge of mathematics and logic. No prior programming experience required.
SUGGESTED COURSE CONTENT AGENDA
Module 1: Introduction to Python and programming fundamentals.
Installation and configuration of environment (Anaconda, VSCode, Jupyter).
Data types, operators, control structures, and functions.
Good practices and coding style in engineering.
Basic exercises: mathematical calculations and automation of repetitive operations.
Module 2: Python as a tool for calculation and numerical analysis.
Introduction to NumPy: creating and manipulating matrices and vectors.
Vector calculus, linear algebra, interpolation, and differential equations.
Real-world applications: dimensioning of structural elements, analysis of materials, strength and energy efficiency.
Practical exercise: create a script to solve a system of technical equations.
Module 3: Analysis and visualization of technical data.
Using Pandas to import, clean, and analyze experimental or sensor data.
Descriptive statistics, correlations, and large data management.
Creating technical graphs with Matplotlib and Seaborn.
Applied exercise: performance analysis of a plant or technical system.
Module 4: Simulation, optimization and advanced automation.
Introduction to SciPy and optimization libraries.
Task automation with scheduled scripts.
Simulations and analysis of engineering scenarios.
Automated report generation and interactive visualization.
Final project: development of a tool in Python to solve a real problem in your specialty (industrial, civil, energy, telecommunications or data).
At the moment you finish this course, you will receive a certificate of completion:
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