Python courses

702 Courses

Learn to Build AI assistant like JARVIS using Python

Transform your computer into a high-functioning AI assistant reminiscent of JARVIS with our comprehensive course. Offered by Udemy and tailored for enthusiasts in Artificial Intelligence, Python programming, Machine Learning, and Chatbot development, this course equips you with the knowledge to build your own AI assistant using Python. Dive into a.
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provider Udemy
pricing Paid Course
duration 2 hours 18 minutes
sessions On-Demand

Natural Language Processing Real-World Projects in Python

Embark on an enriching journey through the world of Natural Language Processing (NLP) with our comprehensive course, "Natural Language Processing Real-World Projects in Python," available on Udemy. Dive into solving three pivotal business challenges by constructing robust Artificial Intelligence and NLP models. This course is meticulously designed.
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provider Udemy
pricing Paid Course
duration 5 hours 26 minutes
sessions On-Demand

2024 Natural Language Processing in Python for Beginners

```html Discover the power of Natural Language Processing (NLP) with our comprehensive online course, "2024 Natural Language Processing in Python for Beginners," available on Udemy. This beginner-friendly course covers all the essentials to get you started with NLP in Python, including Text Cleaning, utilizing Spacy and NLTK, mastering Scikit-Learn.
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provider Udemy
pricing Paid Course
duration 1 day 5 hours 58 minutes
sessions On-Demand

Learn NLP - Natural Language Processing with AWS and Python

Embark on a journey to master Natural Language Processing (NLP) by leveraging the power of AWS Machine Learning services and Python. This comprehensive course, offered by Udemy, is designed for individuals looking to dive deep into NLP applications. You'll have the opportunity to explore a variety of NLP techniques, such as sentiment analysis, word.
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provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Bases de Inteligencia Artificial para Todos

Descubre las bases de la Inteligencia Artificial (IA) con este curso especializado, ideal para quienes desean empezar a explorar el fascinante mundo de la IA, sin necesidad de tener experiencia previa en programación ni en tecnología. Este curso desarrollado en colaboración con Coursera y acompañado de un Certificado Profesional, te introducirá a l.
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provider Coursera  Professional Certificate
pricing Paid Course
duration 26 weeks, 3 hours a week

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

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

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

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

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

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!