Python courses

702 Courses

Inteligencia Artificial y Robótica

Explora el dinámico mundo de la Inteligencia Artificial y la Robótica con este Profesional Certificate ofrecido por el prestigioso Tecnológico de Monterrey y disponible en edX. Adéntrate en sectores clave para el desarrollo y competitividad en la industria actual, donde la automatización industrial no es solo un futuro, sino una realidad impregnant.
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provider edX  Professional Certificate
pricing $117.00
duration 11 weeks, 4-6 hours a week

Generative Pre-trained Transformers (GPT)

Discover the future of human-computer interaction with our course on Generative Pre-trained Transformers (GPT), offered through Coursera by the prestigious Indian Institute of Technology Guwahati. Dive into the world of large language models like GPT-3.5, the engine behind ChatGPT, that are revolutionizing text processing and natural language under.
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provider Coursera
pricing Free Online Course (Audit)
duration 13 hours
sessions On-Demand

Python for Data Science, AI & Development

Embark on your Python journey with this easy-to-follow, self-paced beginner's course, and unlock the door to a world of opportunities in the realms of Data Science, AI, and Development. Python's immense popularity in both the programming and data science spheres has surged the demand for skilled professionals capable of harnessing its power. Offere.
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provider Coursera
pricing Free Online Course (Audit)
duration 27 hours
sessions On-Demand

Introduction to Computer Vision and Image Processing

Embark on a journey into the captivating world of Computer Vision and Image Processing with this beginner-friendly course offered on Coursera, targeted at individuals eager to delve into the realms of Machine Learning and AI. Discover the transformative power of Computer Vision, a pivotal technology behind innovations like self-driving cars, roboti.
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provider Coursera
pricing Free Online Course (Audit)
duration 22 hours
sessions On-Demand

Introduction to Image Analysis for Plant Phenotyping

Explore the world of image analysis with a focus on its vital role in plant phenotyping in this comprehensive six-week course provided by the University of Nottingham and available on FutureLearn. This enlightening course is tailored to introduce you to the core concepts of image analysis and demonstrate how these techniques are applied in the real.
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provider FutureLearn
pricing Free Online Course (Audit)
duration 6 weeks, 3 hours a week
sessions On-Demand

Automated and Connected Driving Challenges

Explore the forefront of automotive innovation with the “Automated and Connected Driving Challenges” MOOC offered by the University of Vigo and available on edX. This comprehensive course dives into the critical aspects of automated and connected driving, a rapidly evolving area in automotive research and industry. Participants will gain firsthand.
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provider edX
pricing Free Online Course (Audit)
duration 15 weeks, 3-8 hours a week
sessions On-Demand

Python for AI & Development Project

Enhance your Python skills and dive into the world of artificial intelligence and development with this comprehensive IBM project course, now available on edX. This mini-course, geared towards those who have a foundational understanding of Python, offers learners a unique opportunity to earn a skill badge — a digital, verifiable credential showcasi.
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provider edX
pricing Free Online Course (Audit)
duration 1 week, 3-4 hours a week
sessions On-Demand

Advanced Algorithmics and Graph Theory with Python

Discover the pivotal world of algorithms and programming, crucial for engineering students, data scientists, analysts, and computer enthusiasts alike. The course "Advanced Algorithmics and Graph Theory with Python" offers an interactive approach to mastering these complex subjects. Far from being a mere theoretical study, this course challenges lea.
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provider edX
pricing Free Online Course (Audit)
duration 6 weeks, 2-4 hours a week
sessions On-Demand

Hyperparameter Tuning with Neural Network Intelligence

Discover the power of Microsoft's Neural Network Intelligence (NNI) in our comprehensive 2-hour guided project, designed to equip participants with fundamental knowledge and practical skills in hyperparameter tuning using the NNI toolkit. The open-source AutoML toolkit by Microsoft facilitates the automation of various machine learning processes su.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Google Cloud Video Intelligence API by Example

``` Join our comprehensive course on Google Cloud Video Intelligence API, available on LinkedIn Learning. This program is designed for individuals looking to dive into the functionalities of the Google Video Intelligence API, seamlessly integrating with Python to extract meaningful insights from video content. Whether you're a Python enthusiast, a.
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provider LinkedIn Learning
pricing Free Trial Available
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!