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Python courses

587 Courses

California Institute of Technology Coursera

Computer Vision - Image Basics with OpenCV and Python

Discover the world of Computer Vision with our engaging and practical course, "Computer Vision - Image Basics with OpenCV and Python," available exclusively on Coursera. This project-based course, designed to last just an hour, offers a hands-on experience in performing Computer Vision tasks on images using the powerful tools of OpenCV and Python w.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Coursera

Generative AI with Large Language Models

Embark on a transformative learning journey with the Generative AI with Large Language Models (LLMs) course. This intermediate-level course, available on Coursera and developed in collaboration with leading universities, dives deep into the world of generative artificial intelligence, unraveling the complexities of LLMs and their applications in re.
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provider Coursera
pricing Free Online Course (Audit)
duration 17 hours
sessions On-Demand
California Institute of Technology Udemy

Curso de Inteligencia Artificial con Python [GRATIS ONLINE]

Curso Gratis Online de Inteligencia Artificial con Python en Udemy Aprovecha la oportunidad de sumergirte en el mundo de la Inteligencia Artificial (IA) con nuestro curso gratuito online, ofrecido por Udemy. Este curso está diseñado para introducirte en la IA utilizando Python, uno de los lenguajes de programación más populares y demandados en el c.
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provider Udemy
pricing Free Online Course
duration 1 hour 44 minutes
sessions On-Demand
California Institute of Technology Udemy

Convolutional Neural Networks in Python: CNN Computer Vision

Embark on a journey into the world of Computer Vision and Image Recognition with our comprehensive course on Convolutional Neural Networks (CNN) using Python. Offered through Udemy, this program is meticulously designed to leverage the capabilities of Keras and TensorFlow 2, ensuring participants gain hands-on experience with the latest technologie.
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provider Udemy
pricing Paid Course
duration 7 hours 48 minutes
sessions On-Demand
California Institute of Technology Udemy

Neural Networks in Python: Deep Learning for Beginners

Neural Networks in Python: Deep Learning for Beginners | Udemy
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provider Udemy
pricing Paid Course
duration 9 hours 22 minutes
sessions On-Demand
California Institute of Technology Udemy

Inteligência Artificial: Sistemas de Recomendação em Python

Participe do curso online "Inteligência Artificial: Sistemas de Recomendação em Python" disponibilizado pela Udemy e aprimore suas habilidades em programação Python, desenvolvendo um algoritmo avançado de recomendação de filmes, inspirado pelo sistema utilizado pela Netflix. Desenvolvido especialmente para estudantes e profissionais interessados em.
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provider Udemy
pricing Paid Course
duration 4-5 hours
sessions On-Demand
California Institute of Technology Udemy

Inteligência Artificial e Machine Learning: O Guia Completo

Descubra o mundo da Inteligência Artificial (IA) e Machine Learning com o nosso guia completo. Se você está começando seus estudos em IA e busca uma fonte confiável de conhecimento, este curso é para você. Aprenda os conceitos teóricos fundamentais e como aplicá-los na prática, preparando-se para os desafios do futuro. Oferecido pela Udemy, um dos.
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provider Udemy
pricing Paid Course
duration 25 hours
sessions On-Demand
California Institute of Technology Udemy

Generative AI, from GANs to CLIP, with Python and Pytorch

Join our comprehensive course on Udemy titled "Generative AI, from GANs to CLIP, with Python and Pytorch." This course is designed to take you on a journey through the fascinating world of generative AI networks. Whether you are starting out or looking to deepen your understanding, this course covers everything from the basics to more advanced conc.
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provider Udemy
pricing Paid Course
duration 10 hours 34 minutes
sessions On-Demand
California Institute of Technology Udemy

Python para Inteligencia Artificial

``` Aprende a programar en Python, el lenguaje clave para el futuro de la inteligencia artificial, con este curso integral ofrecido por Udemy. Sumérgete en las librerías esenciales como Matplotlib, NumPy y pandas, y domina las habilidades de análisis de datos y visualización de datos necesarias para comenzar a desarrollar algoritmos de IA avanzados.
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provider Udemy
pricing Paid Course
duration 4 hours 51 minutes
sessions On-Demand
California Institute of Technology Udemy

Inteligencia Artificial con Machine Learning (Python)

Curso Online de Inteligencia Artificial y Machine Learning con Python: Impartido por Udemy, este curso está diseñado para enseñarte, mediante ejemplos prácticos y fáciles de entender, los fundamentos y aplicaciones avanzadas de la Inteligencia Artificial y Machine Learning utilizando Python. Ideal para estudiantes y profesionales que buscan ampliar.
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provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Your speed of mastering the profession and success in this matter largely depends on which programming language you start learning first. How to choose it? Let's answer using a python ai course as an example.

What criteria should you use to choose your first language?

For learning to progress quickly, the programming language must have a simple syntax. It is desirable that it be high-level and flexible - then you can experiment with different options for solving the same problem.

Of course, it cannot be said that the choice of the first language always determines how successful the student’s future career path will be. But it can have a powerful impact on professional development as well as self-learning skills.

Even if we talk about spoken languages, you’ve probably heard the statement that the language a person speaks determines his thinking: “the number of languages you know, the number of times you are human.” This statement is also relevant for programming. Note that this skill is often described as an effective tool for developing thinking that teaches people to solve problems well.

When choosing the first language, the following criteria are also taken into account:

It’s difficult to name an ideal programming language to learn as a first language, but Python definitely meets most of the listed criteria, which means it can be safely recommended to beginners.

Scope of Python

Scripting languages are rapidly gaining popularity these days. They are already used to write software even more often than traditional system ones. Python is compatible with all major operating systems and platforms. You will learn this information at a python course. It is actively used in science, web development, Machine Learning, game creation, complex visual effects, and more.

Community, technical documentation

The Python language has gathered a large community of developers from all over the world who are engaged not only in its study, but also in its development. The documentation base related to Python is extensive and well-developed, so even a beginner will not have much difficulty finding answers to almost all questions that arise. He also has enough standard libraries for all occasions, and there are even more open-source repositories.

Simplicity

Because Python has a simple syntax, its code is easy to read and understand. Statements are terminated by the end of the line, and the block structure is determined by indentation.

Among the features of Python, it is worth highlighting the use of indentations that delimit blocks of code. Correct formatting is ensured by the interpreter, which prevents the creation of unreadable code. So if in other programming languages indentation is a “handwriting” and an art, then in Python it is one of the components of the syntax.

Python Strengths and Weaknesses

We have already noted above some of the advantages of a python certification course, now we propose to compare them with the disadvantages in order to objectively evaluate the language as the first one to learn.

Pluses

  1. Easy to learn.

  2. Laconic.

  3. Easy and understandable syntax.

  4. Interpretability.

  5. Wide scope of use.

  6. Demand.

  7. Dynamic typing.

  8. A large number of libraries.

  9. Lots of technical documentation and training materials.

  10. Cross-platform.

Minuses

  1. Slow program execution speed: Because dynamically typed languages execute code line by line, this makes it difficult to develop software that requires high performance. However, the programmer's productivity increases, which can be considered a kind of compensation.

  2. Programs written in Python require a lot of memory.

  3. Because there is no check during compilation, errors sometimes occur when executing the code. Because of this, very high-quality testing is required before production launch.

Conclusion

Python is a clear, easy-to-learn, universal, in-demand and promising language. Despite the presence of certain disadvantages, its advantages significantly outweigh all the disadvantages, especially when it comes to novice programmers. That's why a python online course from AI Eeducation is a great choice to start your IT career!