Python for artificial intelligence
The Python for Artificial Intelligence course is designed to introduce participants to the most widely used programming language in the fields of machine learning and data science. Through a hands-on approach, students will learn to write efficient code, manipulate and analyze data, create visualizations, and understand the basic structures that serve as the foundation for future AI projects.
Start
November 29
Duration
5 weeks
Method
Online
Investment
$99
Add terms and conditions
Best Value
Python con Inteligencia Artificial
99
Desarrollar en los participantes las competencias necesarias para integrar herramientas de inteligencia artificial y análisis de datos en procesos organizacionales.
Valid for 5 weeks
Your competitive advantage
Get an international certificate
Upon completing the course, you will receive a certificate that endorses your programming knowledge and skills, validating your learning in the academic and professional world.
Career-Focused Preparation
Our program is designed to boost your employability and help you access high-paying opportunities.
Professional Support
In addition to teaching, we provide career guidance, support in building your portfolio, and interview preparation.
Course Objectives Python for artificial intelligence – Apprender
Programming Foundations with Python
Build a solid understanding of Python’s syntax, structure, and logic to write efficient and organized code for AI applications.
Functions, Modules, and File Handling
Develop modular, reusable code using functions and libraries, and learn how to read and write data from CSV and JSON files.
Data Structures and Control Flow
Learn to work with variables, data types, lists, tuples, and dictionaries while applying conditionals and loops to automate logical processes.
Data Manipulation and Analysis
Master the use of core libraries such as NumPy and Pandas for cleaning, filtering, combining, and transforming datasets for analysis and model preparation.
Visualization and AI Fundamentals
Use Matplotlib and Seaborn to visualize data and gain an introduction to artificial intelligence concepts, including datasets, features, model training, and simple evaluation techniques.
Target audience:
This course is aimed at students, professionals, and tech enthusiasts interested in entering the world of programming and artificial intelligence.
It’s ideal for individuals who:
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Want to learn programming from scratch with a practical approach.
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Seek to apply Python to data analysis, automation, or AI-related projects.
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Aim to develop technical skills to enter the technology and innovation sector.
No prior experience is required—only curiosity, logical thinking, and motivation to use technology to solve problems and build smarter solutions.
Basic Requirements
1. Basic computer skills (file management, software installation).
2. Ability to think logically and basic mathematical comprehension.
3. Stable Internet access and a computer with an up-to-date browser.
4. No previous programming experience required (beginner level).
Career paths and opportunities
After completing the course, participants will be equipped to take on roles involving data analysis, automation scripting, and AI project support.
Possible roles include:
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Data Science Assistant
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Junior Python Developer
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Entry-Level Data Analyst
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AI or Machine Learning Project Assistant
This course provides a solid foundation for continuing studies in Data Science, Machine Learning, or Advanced AI Development.
Study Plan
(2025)
What Our Grads Say
"I was blown away by the quality of the Apprender Coding Bootcamp. The instructors are top-notch and the curriculum is comprehensive. I learned so much from completing the program. Thank you, Apprender!"
"The Apprender Coding Bootcamp has been a game-changer for me. The hands-on experience and guidance from experts have helped me build my skills. Highly recommended!"
"I had a great experience with the Apprender Coding Bootcamp. The mentors are fantastic and the course content is top-notch. I would definitely recommend this bootcamp to anyone looking to build a career in software development."
Laura Gavilanez
Ecuadorian (Guayaquil)
Jair Herrera
Ecuadorian (Cayambe)
Melany Pozo
Ecuadorian (Ibarra)
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