Join

Python courses

587 Courses

California Institute of Technology DataCamp

Recurrent Neural Networks (RNNs) for Language Modeling with Keras

Unlock the power of text analytics with our specialized course on Recurrent Neural Networks (RNNs) for Language Modeling using Keras. This comprehensive course is designed to guide you through the fascinating world of RNNs, enabling you to harness machine learning for text classification, sentiment analysis, sentence generation, and even cross-lang.
course image
provider DataCamp
pricing Free Trial Available
duration 4 hours
sessions On-Demand
California Institute of Technology Udemy

Natural Language Processing with Deep Learning in Python

Embark on a comprehensive journey through the world of Natural Language Processing (NLP) with this detailed course on Deep Learning in Python. Discover the intricacies of word2vec, GloVe, and word embeddings, unraveling their applications in groundbreaking NLP advances. The course delves deep into sentiment analysis, teaching you how to leverage re.
course image
provider Udemy
pricing Paid Course
duration 12 hours 2 minutes
sessions On-Demand
California Institute of Technology FutureLearn

AI Programming with Python for Beginners

Embark on a journey to master Python programming with our comprehensive course, "AI Programming with Python for Beginners". Dive into the essentials of Python, an accessible yet powerful programming language perfect for newcomers. This course serves as an exceptional introduction to key programming concepts and coding in Python, guiding you through.
course image
provider FutureLearn
pricing Paid Course
duration 3 weeks, 5 hours a week
sessions On-Demand
California Institute of Technology Udemy

Hands On Natural Language Processing (NLP) using Python

Embark on a journey to master Natural Language Processing (NLP) and Text Mining with our comprehensive course available on Udemy. Perfect for those passionate about Python, this course is designed to equip you with the skills to create sophisticated text classifiers, efficient article summarizers, and explore various facets of Sentiment Analysis. W.
course image
provider Udemy
pricing Paid Course
duration 11 hours
sessions On-Demand
California Institute of Technology Udemy

Neural Networks Made Easy

Join our "Neural Networks Made Easy" course on Udemy and dive into the simplicity of neural networks that even your dog could understand! This course is meticulously designed for beginners and covers a broad range of categories including Python, Deep Learning, Neural Networks, NumPy, pandas, and Calculus. Whether you're a student eager to expand yo.
course image
provider Udemy
pricing Free Online Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology FutureLearn  ExpertTrack

Ethics, Laws and Implementing an AI Solution on Microsoft Azure

Enhance your expertise in AI and data science with our comprehensive course titled "Ethics, Laws and Implementing an AI Solution on Microsoft Azure". Dive into the essentials of data science for AI and machine learning, leveraging the power of Python and Microsoft Azure. This course not only equips you with practical skills but also provides profou.
course image
provider FutureLearn  ExpertTrack
pricing Paid Course
duration 14 weeks, 5-6 hours a week
California Institute of Technology Udemy

Modern Natural Language Processing in Python

Discover the power of Modern Natural Language Processing (NLP) with our comprehensive course on Udemy, tailored specifically for Python enthusiasts. This course is expertly designed to guide you through tackling Sequence-to-Sequence (Seq2Seq) and Classification tasks by leveraging the strengths of Transformers and Convolutional Neural Networks (CNN.
course image
provider Udemy
pricing Paid Course
duration 5 hours 47 minutes
sessions On-Demand
California Institute of Technology Udemy

Python for Computer Vision with OpenCV and Deep Learning

Discover cutting-edge strategies in computer vision utilizing Python, OpenCV, and Deep Learning with our comprehensive course provided by Udemy. This tutorial is essential for those looking to stay ahead in fields such as Python programming, computer vision, deep learning, and more, including specialization in NumPy, OpenCV, image segmentation, and.
course image
provider Udemy
pricing Paid Course
duration 14 hours 5 minutes
sessions On-Demand
California Institute of Technology FutureLearn  ExpertTrack

Deep Learning and Python Programming for AI with Microsoft Azure

Embark on a transformative journey into the world of AI with the "Deep Learning and Python Programming for AI with Microsoft Azure" course. This comprehensive ExpertTrack, brought to you by FutureLearn, offers an illuminating introduction to deep learning, a cornerstone for anyone aspiring to thrive in artificial intelligence. Dive deep into the mu.
course image
provider FutureLearn  ExpertTrack
pricing Paid Course
duration 21 weeks, 5-6 hours a week
California Institute of Technology Udemy

Python do básico ao avançado + inteligência artificial

Curso Completo: Python do Básico ao Avançado + Inteligência ArtificialAprenda a desenvolver software eficaz usando Python, dominar tecnologias de inteligência artificial para classificação de imagens, fazer previsões precisas e muito mais neste curso abrangente. Oferecido por Udemy, este programa é ideal para quem busca mergulhar nas profundezas da.
course image
provider Udemy
pricing Paid Course
duration 12 hours 10 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!