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Python courses

949 Courses

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California Institute of Technology Udemy

Natural Language Processing Bootcamp in Python

Join our immersive Natural Language Processing Bootcamp in Python, designed to teach you the essentials of Text Mining and NLP. This course will guide you through practical applications of Text Processing, the Natural Language Toolkit (NLTK), Sentiment Analysis, and the implementation of Neural Networks. Ideal for learners passionate about harn.
provider Udemy
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California Institute of Technology Udemy

XAI: Explainable AI

XAI: Explainable AI - Understanding Machine Learning Models in Python | Udemy Discover the secrets to demystifying machine learning models with our comprehensive course on Explainable AI. Designed for both beginners and seasoned data scientists, this Udemy course will guide you through the nuances of explainable artificial intelligence using Pyt.
provider Udemy
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California Institute of Technology Udemy

Neural Networks in Python from Scratch: Complete guide

Embark on a complete journey to understand neural networks with our course "Neural Networks in Python from Scratch." Dive into the world of Deep Learning, learning to build neural networks with Python from the ground up. Gain insights into both theory and hands-on practice, providing you with a robust understanding of deep learning methodol.
provider Udemy
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California Institute of Technology AWS Skill Builder

Lab - Explore Generative AI Use Cases with LangChain and Amazon Bedrock

Join the lab on exploring generative AI use cases with LangChain and Amazon Bedrock. This hands-on experience walks you through Jupyter notebooks where you will make API calls to generative AI models hosted on Amazon Bedrock. Your journey involves generating and summarizing text, answering questions, and building a chatbot using these powerful tool.
provider AWS Skill Builder
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California Institute of Technology Coursera

AI Python for Beginners

AI Python for Beginners is expertly crafted for those looking to harness the power of Python programming without needing to pursue a career as a developer or AI engineer. Perfect for complete novices, this comprehensive four-part course allows you to dive right into creating practical AI applications. From day one, you'll learn to code by cra.
provider Coursera
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California Institute of Technology AWS Skill Builder

Digital Classroom - Practical Data Science with Amazon SageMaker

Artificial intelligence and machine learning (AI/ML) are now widespread, and this course immerses students in the daily life of a data scientist. You'll collaborate effectively with data scientists and develop applications that integrate with ML. Learn how data scientists create ML solutions on Amazon Web Services (AWS) using Amazon SageMaker. Expe.
provider AWS Skill Builder
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California Institute of Technology Coursera

IBM Generative AI Engineering

Embark on a transformative learning journey with the IBM Generative AI Engineering Professional Certificate, an opportunity tailor-made for aspiring generative AI engineers, AI developers, data scientists, machine learning engineers, and AI research engineers. With the generative AI market poised for a significant growth of over 46% CAGR until.
provider Coursera
California Institute of Technology University of California, San Diego

Deep Learning For Visual Computing

Deep learning revolutionizes how machines understand data by leveraging non-linear transformation architectures to solve hierarchical recognition tasks. Imagine a machine recognizing Mr. X in a photo standing before Mt. E; features evolve from identifying shapes, colors, and edges to comprehending complex scenes and objects. This course will.
provider Swayam
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California Institute of Technology Noble Desktop

Data Analytics Certificate

Embark on a journey to enhance your career prospects with the Data Analytics Certificate from Noble Desktop. This immersive course equips you with the pivotal skills needed to thrive as a Data Analyst or Business Analyst. Delve into the realms of data analysis, visualization, and statistical techniques through a curriculum designed to prioritize.
provider Noble Desktop
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California Institute of Technology Udemy

Python for Complete Beginners

Discover the world of Python programming with our "Python for Complete Beginners" course offered by Udemy. Ideal for newcomers, this step-by-step guide will help you understand Python's basics and advance to more complex programming concepts. What You'll Learn: Understand Python syntax and semantics. Develop problem-solving skills with Py.
provider Udemy

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!