International Certification Program in Python Application Development (PDA) + Advanced Python Application Development (Django and Flask Frameworks) + AI and Machine Learning – Business Implementation Track.

International Certification Program in Python Application Development (PDA) + Advanced Python Application Development (Django and Flask Frameworks) + AI and Machine Learning – Business Implementation Track.

Módulos

  • Qué es Python 
  • Variables y tipos de datos básicos 
  • Lectura de entrada de teclado

  • Salidas 
  • Recopilación de entradas

  • Instrucción if 
  • Instrucciones else, y elif
  • Operadores and y or

  • Cadenas en Python
  • Métodos de cadenas en Python
  • Formato de cadenas en Python
  • Operadores
  • Números
  • Conversión de cadenas en número y uso de valores absolutos

  • Presentación de listas
  • Trabajo con números en listas
  • Manipulación de datos de lista

  • While
  • For
  • Diccionarios
  • Programación dinámica con diccionarios

  • Funciones
  • Argumentos de funciones
  • Argumentos de palabra clave
  • Argumentos de variable

  • Lambdas
  • Expresiones regulares
  • Comprensión de datos

  • Clases y objetos
  • Constructor de una clase
  • Atributos
  • Herencia
  • Encapsulación
  • Polimorfismo

  • Cómo encontrar errores
  • Controlar excepciones
  • Generación de excepciones

  • Trabajando con el sistema de archivos
  • Directorios y archivos
  • Crear un archivo, manejar archivos

  • Protocolo HTTP y métodos (GET, POST, PUT, DELETE)
  • Enrutamiento y manejo de solicitudes/respuestas
  • JSON y APIs REST
  • Fundamentos de HTML, CSS y JavaScript (para entender cómo interactúan con el backend)

  • Instalación y configuración de Django
  • Estructura de un proyecto Django
  • Modelos y migraciones
  • Formularios en Django
  • Plantillas (Templates) y vistas (Views)
  • Autenticación y autorización (login, registro de usuarios)
  • Creación de una aplicación CRUD (Create, Read, Update, Delete)

  • Relaciones entre modelos (ForeignKey, ManyToManyField)
  • Django ORM (Consultas avanzadas)
  • Manejo de archivos y multimedia en Django
  • Sistema de usuarios avanzado (perfiles, permisos)
  • Gestión de seguridad en Django (CSRF, XSS, SQL Injection)
  • Testing y cobertura de código en Django

  • Introducción a Django Rest Framework (DRF)
  • Serializadores (Serializers)
  • Vistas basadas en clases y vistas basadas en funciones
  • Autenticación de APIs (Token, JWT)
  • Paginación, búsqueda y filtrado en APIs
  • Protección y permisos en APIs

  • Introducción a Flask
  • Manejo de rutas, parámetros y respuestas
  • Creación de APIs con Flask (declaración de modelos)
  • Validación de datos con Flask-WTF y Marshmallow
  • Seguridad en Flask (OAuth2, JWT)
  • Testing en Flask
  • Despliegue de aplicaciones Flask (en Docker o plataformas en la nube)

  • Bases de datos SQL vs NoSQL
  • Conexión y manejo de bases de datos en Django y Flask
  • Uso de bases de datos populares (PostgreSQL, MySQL)
  • ORMs y manejo eficiente de consultas en Django (Django ORM) y Flask (SQLAlchemy)

  • Conceptos básicos de servidores y hosting
  • Despliegue de aplicaciones Django y Flask en Heroku, AWS, o DigitalOcean
  • Configuración de Nginx y Gunicorn para producción
  • Introducción a contenedores con Docker
  • CI/CD (Integración Continua y Despliegue Continuo)

  • Optimización del rendimiento en aplicaciones web
  • Caching en Django (Memcached, Redis)
  • Buenas prácticas de seguridad en aplicaciones web
  • Protección contra ataques comunes (DDoS, Cross-Site Scripting, SQL Injection)
  • Monitoreo y mantenimiento de aplicaciones en producción

  • Integración de frontend con backend (Django + React o Vue)
  • Creación de un sistema completo con Django/Flask
  • Implementación de websockets para aplicaciones en tiempo real
  • Gestión de estados de sesión en aplicaciones web
  • Proyecto final: Creación y despliegue de una aplicación web completa (blog, tienda, etc.)

  • Introducción a IA, Machine Learning y Deep Learning
  • IA débil, fuerte y general
  • Aplicaciones en negocios e industria
  • Álgebra lineal básica para ML: vectores, matrices, operaciones
  • Probabilidad y estadística aplicada: distribuciones, media, varianza, Bayes, árboles de decisión
  • Ética, sesgos y responsabilidad social de la IA (enfoque transversal)

  • Jupyter Notebook como entorno de trabajo
  • Librerías clave: NumPy, Pandas, Matplotlib, Seaborn
  • Limpieza, transformación y análisis de datos reales
  • Manejo de valores nulos, codificación, escalamiento
  • Visualización e interpretación de variables y correlaciones

  • Regresión lineal y logística
  • Árboles de decisión, Random Forest, Gradient Boosting
  • SVM: fundamentos y aplicación
  • Evaluación de modelos: accuracy, recall, precision, F1-score, ROC-AUC
  • Validación cruzada, overfitting y ajuste de modelos

  • Clustering: K-means, DBSCAN, jerárquico
  • Reducción de dimensionalidad: PCA, t-SNE
  • Análisis de outliers y segmentación
  • Visualización avanzada de grupos y patrones

  • Limpieza de texto: tokenización, stemming, lematización
  • Representaciones: Bag of Words, TF-IDF, Word2Vec
  • Clasificación de texto, análisis de sentimientos
  • Introducción a modelos transformers y embeddings
  • Aplicaciones reales: atención al cliente, análisis de reseñas

  • Redes neuronales artificiales con Keras y TensorFlow
  • Redes convolucionales (CNN) para imágenes
  • RNN y LSTM para series temporales y texto
  • Técnicas de regularización: Dropout, Early Stopping
  • Ajuste de hiperparámetros

  • APIs RESTful con Flask/FastAPI para servir modelos
  • Introducción a Docker: contenedores para IA
  • MLFlow para versionado de modelos y datasets
  • Automatización de flujos de entrenamiento y monitoreo básico

  • Introducción a LLMs (GPT, Claude, Mistral, etc.)
  • Creación de asistentes inteligentes con ChatGPT y Hugging Face
  • Integración con sistemas internos: CRMs, ERPs, procesos
  • Aplicaciones prácticas: generación de contenido, atención automatizada, soporte interno

  • Detección de procesos automatizables
  • Automatización de decisiones y predicciones
  • Casos reales: marketing, logística, ventas, RRHH y sostenibilidad
  • Diseño de soluciones con foco en ROI, escalabilidad e innovación

  • Desarrollo de una solución real aplicando todo lo aprendido
  • Presentación del modelo, impacto generado y retorno esperado
  • Documentación técnica del proyecto: funcionamiento, aplicación, necesidad cubierta
  • Subida del proyecto a repositorio con control de versiones
  • Evaluación por pares e instructores

This intensive program integrates three key certifications in development and automation:

  • International Certification in Python Application Development (PDA)
  • Advanced Development with Django and Flask Frameworks
  • AI and Machine Learning – Business Implementation Track
  • The program is designed to train professionals capable of building robust web applications, secure APIs, and intelligent AI solutions tailored to real-world business environments—using Python as the core technology foundation

Upon completion, the participant will be able to:

  • Build complete applications in Python using Django and Flask
  • Design and consume secure, scalable RESTful APIs
  • Apply machine learning techniques for decision-making automation
  • Integrate AI models into real business workflows using tools such as Scikit-learn, TensorFlow, and HuggingFace
  • Deploy solutions in production environments, including Heroku, Docker, and AWS
  • Present a final intelligent automation project with measurable business impact
  • Pass the International Python Developer Associate (PDA) Certification and modules endorsed by Python Certifier and Certitalents

To ensure the best learning outcomes, students should:

  • Have a solid understanding of programming logic and data structures
  • Have completed the PDA module or demonstrate practical proficiency in Python (including lists, dictionaries, functions, and file handling)
  • Be familiar with web frameworks such as Django or Flask (for the advanced modules)
  • Have basic knowledge of applied mathematics, including linear algebra and statistics
  • Be able to work with Jupyter Notebook and manipulate CSV, JSON, and Excel files
  • Ideally: Have prior experience in projects involving data analysis, visualization, or automation

International Certification Program in Python Application Development (PDA) + Advanced Python Application Development (Django and Flask Frameworks) + AI and Machine Learning – Business Implementation Track. Applies
International Certification Program in Python Application Development (PDA) + Advanced Python Application Development (Django and Flask Frameworks) + AI and Machine Learning – Business Implementation Track. 140 hours

Learning Methodology

The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.

The instructor (live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.

The methodology seeks that the student does not memorize, but rather understands the concepts and how they are applied in a work environment.

As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.

Conditions to guarantee successful results:
  • a. An institution that requires the application of the model through organization, logistics, and strict control over the activities to be carried out by the participants in each training session.
  • b. An instructor located anywhere in the world, who has the required in-depth knowledge, expertise, experience, and outstanding values, ensuring a very high-level knowledge transfer.
  • c. A committed student, with the space, time, and attention required by the training process, and the willingness to focus on understanding how concepts are applied in a work environment, and not memorizing concepts just to take an exam.

Pre-enrollment

You do not need to pay to pre-enroll. By pre-enrolling, you reserve a spot in the group for this course or program. Our team will contact you to complete your enrollment.

Pre-enroll now

Infinity Payments

Make your payment quickly, safely and reliably


- For bank transfer payments, request the details by email capacita@aulamatriz.edu.co.

- If you wish to finance your payment through our credit options
(Sufi, Cooperativa Unimos or Fincomercio), click on the following link:
Ver opciones de crédito.

To continue you must

Or if you don't have an account you must

Description

This intensive program integrates three key certifications in development and automation:

  • International Certification in Python Application Development (PDA)
  • Advanced Development with Django and Flask Frameworks
  • AI and Machine Learning – Business Implementation Track
  • The program is designed to train professionals capable of building robust web applications, secure APIs, and intelligent AI solutions tailored to real-world business environments—using Python as the core technology foundation

Objectives

Upon completion, the participant will be able to:

  • Build complete applications in Python using Django and Flask
  • Design and consume secure, scalable RESTful APIs
  • Apply machine learning techniques for decision-making automation
  • Integrate AI models into real business workflows using tools such as Scikit-learn, TensorFlow, and HuggingFace
  • Deploy solutions in production environments, including Heroku, Docker, and AWS
  • Present a final intelligent automation project with measurable business impact
  • Pass the International Python Developer Associate (PDA) Certification and modules endorsed by Python Certifier and Certitalents

To ensure the best learning outcomes, students should:

  • Have a solid understanding of programming logic and data structures
  • Have completed the PDA module or demonstrate practical proficiency in Python (including lists, dictionaries, functions, and file handling)
  • Be familiar with web frameworks such as Django or Flask (for the advanced modules)
  • Have basic knowledge of applied mathematics, including linear algebra and statistics
  • Be able to work with Jupyter Notebook and manipulate CSV, JSON, and Excel files
  • Ideally: Have prior experience in projects involving data analysis, visualization, or automation

offers

International Certification Program in Python Application Development (PDA) + Advanced Python Application Development (Django and Flask Frameworks) + AI and Machine Learning – Business Implementation Track. Applies
International Certification Program in Python Application Development (PDA) + Advanced Python Application Development (Django and Flask Frameworks) + AI and Machine Learning – Business Implementation Track. 140 hours

Learning Methodology

The learning methodology, regardless of the modality (in-person or remote), is based on the development of workshops or labs that lead to the construction of a project, emulating real activities in a company.

The instructor (live), a professional with extensive experience in work environments related to the topics covered, acts as a workshop leader, guiding students' practice through knowledge transfer processes, applying the concepts of the proposed syllabus to the project.

The methodology seeks that the student does not memorize, but rather understands the concepts and how they are applied in a work environment.

As a result of this work, at the end of the training the student will have gained real experience, will be prepared for work and to pass an interview, a technical test, and/or achieve higher scores on international certification exams.

Conditions to guarantee successful results:
  • a. An institution that requires the application of the model through organization, logistics, and strict control over the activities to be carried out by the participants in each training session.
  • b. An instructor located anywhere in the world, who has the required in-depth knowledge, expertise, experience, and outstanding values, ensuring a very high-level knowledge transfer.
  • c. A committed student, with the space, time, and attention required by the training process, and the willingness to focus on understanding how concepts are applied in a work environment, and not memorizing concepts just to take an exam.

Pre-enrollment

You do not need to pay to pre-enroll. By pre-enrolling, you reserve a spot in the group for this course or program. Our team will contact you to complete your enrollment.

Download Syllabus