Python courses

702 Courses

Neural Networks and Random Forests

Embark on a journey to master advanced AI techniques with our comprehensive course on Neural Networks and Random Forests, offered exclusively through Coursera. This curriculum is meticulously designed for individuals keen on expanding their knowledge beyond basic models, delving into the intricacies of artificial intelligence. Our structured learn.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand

Create Your First Chatbot with Rasa and Python

Embark on a journey to create your first AI-powered chatbot with the "Create Your First Chatbot with Rasa and Python" course, offered through Coursera. In this engaging 2-hour project-based learning experience, you'll delve into the world of chatbot development using the Rasa framework and Python programming language. Rasa, known for its ability to.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand

Python Programming & Software Design For Absolute Beginners

Discover the world of coding with Python Programming & Software Design For Absolute Beginners. This course, offered by Udemy and specifically tailored for those without any previous programming experience, serves as the ultimate beginner's guide to programming and software design. Dive into the essentials of Python, one of the most in-demand pr.
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provider Udemy
pricing Paid Course
duration 4 hours 12 minutes
sessions On-Demand

AI Workflow: Data Analysis and Hypothesis Testing

Embark on the next step in your journey towards mastering artificial intelligence within large enterprises with the "AI Workflow: Data Analysis and HypedIdentify the importance of hypothesis testing in exploratory data analysis and how to address the challenges of multiple testing with effective strategies. This course is not designed for beginners.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand

Neural Network Visualizer Web App with Python

Embark on a captivating journey of technology and innovation with the "Neural Network Visualizer Web App with Python" course available on Coursera. Spanning 2 enriching hours, this project-based training is skillfully designed to guide you through the creation of an impressive Neural Network Visualizer web application leveraging Streamlit. Furtherm.
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provider Coursera
pricing Paid Course
duration 2 hours
sessions On-Demand

Image Compression and Generation using Variational Autoencoders in Python

Delve into the fascinating world of AI with our latest Python course on Image Compression and Generation using Variational Autoencoders, brought to you by Coursera. In this comprehensive 1-hour project, participants will gain hands-on experience with Variational Autoencoder (VAE), a groundbreaking model that stands at the intersection of Machine Le.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Applied Data Science

Title: Applied Data Science Specialization Description: Dive into the dynamic field of data science with Applied Data Science Specialization, a comprehensive program designed for enthusiasts eager to solve real-world data problems. Perfect for individuals aiming to advance their career in data science, this specialization is a follow-up to introduc.
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provider Coursera  Specialization
pricing Paid Course
duration 26 weeks, 4 hours a week

Image Compression with K-Means Clustering

Embark on a hands-on journey to master image compression with our dynamic project, "Image Compression with K-Means Clustering," available exclusively on Coursera's immersive project platform, Rhyme. Over the course of 45 minutes, gain practical expertise in utilizing the k-means clustering unsupervised learning algorithm with scikit-learn and Pytho.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

RASA :Build and Deploy Chatbot On The Cloud (100% FREE)

Join our comprehensive RASA Chatbot Course on Udemy and dive into the world of AI chatbots with our expert-led training! From the basics of installation to the advanced techniques of cloud deployment, this course covers everything you need to know to master RASA. Whether you're interested in artificial intelligence, Python programming, chatbot deve.
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provider Udemy
pricing Paid Course
duration 1 hour 51 minutes
sessions On-Demand

Open AI for Beginners: Programmatic Prompting

Title: Open AI for Beginners: Programmatic Prompting Description: Dive into the fascinating world of AI with our project-focused course on "Open AI for Beginners: Programmatic Prompting", proudly offered through Coursera. This project is designed to guide you through the process of interacting with the OpenAI model via the OpenAI API, particularly.
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provider Coursera
pricing Paid Course
duration 2-3 hours
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!