Python courses

926 Courses

30 Projects in 30 days of AI Development Bootcamp

Join our intensive 30 Projects in 30 Days of AI Development Bootcamp and gain unparalleled hands-on experience. Dive deep into the essential concepts and practical applications of Artificial Intelligence, Python, and related technologies. Build proficiency in machine learning, computer vision, deep learning, and neural networks using top frame.
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Speech Recognition with Python

Unlock the potential of speech recognition technology by mastering it with Python. This comprehensive course provides an in-depth understanding, starting from fundamental principles to exploring cutting-edge AI applications. Offered by Udemy, a leader in online education, this course covers essential topics across multiple categories includin.
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Learn Machine Learning Course with Python A to Z

Enroll in the "Learn Machine Learning Course with Python A to Z" to develop a thorough understanding of machine learning principles and applications across different industries. Offered by Udemy, this course meticulously covers a wide range of machine learning concepts and algorithms, prominently featuring Python as the primary programming la.
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Amazon SageMaker Getting Started

Welcome to "Amazon SageMaker Getting Started" course. Designed for individuals new to Amazon SageMaker AI, this course offers a comprehensive introduction to its benefits and technical concepts. You'll learn to navigate the AWS Management Console and use a Jupyter notebook instance for training and prediction with a machine learning model. C.
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Practical Deep Learning with Python

Welcome to the Practical Deep Learning with Python course, a comprehensive program designed to provide hands-on experience with advanced deep learning techniques. Leverage the power of AI to model and analyze complex datasets, offering real-world solutions and insights from large data volumes. This curriculum focuses on practical skills essen.
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AI Applications: Computer Vision and Speech Recognition

Welcome to AI Applications: Computer Vision and Speech Recognition. This course offers hands-on expertise in using cutting-edge technologies for processing visual data and interpreting human speech. Gain practical skills to tackle real-world challenges in computer vision and speech analysis. By the end of this course, you will be able to:.
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Mastering AI: Neural Nets, Vision System, Speech Recognition

Embark on your AI journey with the Mastering AI specialization, tailored for both newcomers and experienced professionals. Gain essential skills in artificial intelligence, machine learning, and deep learning to create cutting-edge solutions. Delve into critical concepts such as neural networks, statistical foundations, predictive modeling, a.
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Introduction to LangGraph

Introduction to LangGraph Course - Learn with Pluralsight Join the 'Introduction to LangGraph' course and embark on a journey to simplify the development of AI agents. This course is expertly designed to introduce you to the LangGraph framework, offering a comprehensive overview of the knowledge required to utilize it effectively. Begin by expl.

Python for Beginners: Learn Python with Hands-on Projects

Embark on a journey into the world of Python with the comprehensive course "Python for Beginners: Learn Python with Hands-on Projects." Perfect for those starting from scratch, this course provides a robust foundation in Python basics, guiding you through data processing, web development, and automation. Offered by Udemy, this course is design.
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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!