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Python courses

702 Courses

California Institute of Technology Udemy

Full stack web development and AI with Python (Django)

Full Stack Web Development and AI with Python (Django) | Udemy
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provider Udemy
pricing Paid Course
duration 40 hours
sessions On-Demand
California Institute of Technology Coursera

TensorFlow for AI: Get to Know Tensorflow

TensorFlow for AI: Get to Know TensorFlow This guided project course is part of the "TensorFlow for AI" series, and it builds on the foundational DeepLearning.AI TensorFlow Developer Professional Certificate offered by Coursera. This series helps learners reinforce their skills and develop more TensorFlow-based projects. In this 1-hour project-.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
California Institute of Technology Udemy

Game Development (Android + IOS): Build 12 Apps & Games

Game Development (Android + IOS): Build 12 Apps & Games Enroll in this comprehensive course on Udemy to learn game development for both Android and iOS platforms. You'll build 12 exciting projects, including popular titles like the 2048 game and Flappy Bird, as well as practical tools like Credit Card Validation and a Scientific Calculator. Ca.
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provider Udemy
pricing Paid Course
duration 1 day 3 hours 5 minutes
sessions On-Demand
California Institute of Technology Udemy

Build & Host ML Apps (Python) + Top Data Science projects

Build & Host ML Apps (Python) + Top Data Science Projects | Udemy Build & Host ML Apps (Python) + Top Data Science Projects Provider: Udemy Categories: Artificial Intelligence Courses, Python Courses, Streamlit Courses Learn to build and host powerful machine learning applications using Python and Streamlit. This comprehensive course covers key.
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provider Udemy
pricing Paid Course
duration 5 hours
sessions On-Demand
California Institute of Technology Stanford University

Artificial Intelligence for Robotics

Expand your expertise in robotics and artificial intelligence with this comprehensive course, brought to you in collaboration with Udacity and Stanford University. Dive into the world of autonomous vehicles and learn from the pioneers of Google and Stanford's autonomous driving initiatives. This course covers fundamental AI concepts such as probabi.
provider Udacity
pricing Free Online Course
duration 8 weeks
sessions On-Demand
California Institute of Technology Harvard University

CS50's Introduction to Artificial Intelligence with Python

Explore the frontier of technology with CS50's Introduction to Artificial Intelligence with Python, offered by Harvard University through edX. This course delves deep into the core concepts and algorithms that empower today’s AI technologies. Participants will embark on a journey through the realm of artificial intelligence, uncovering the mechanic.
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provider edX
pricing Free Online Course (Audit)
duration 7 weeks, 10-30 hours a week
sessions On-Demand
California Institute of Technology Harvard University

Computer Science for Artificial Intelligence

Embark on a transformative journey with the Computer Science for Artificial Intelligence series, offered by Harvard University through edX Professional Certificate. This comprehensive series blends the iconic CS50’s Introduction to Computer Science course with an advanced exploration into the algorithms and concepts that underpin modern artificial.
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provider edX  Professional Certificate
pricing $518.00
duration 19 weeks, 8-24 hours a week
California Institute of Technology Stanford University

CS 8802, Artificial Intelligence for Robotics: Programming a Robotic Car

Unlock the world of autonomous vehicles with "CS 8802, Artificial Intelligence for Robotics: Programming a Robotic Car," brought to you by Stanford University in collaboration with Udacity. Immerse yourself in the cutting-edge realm of robotics technology under the guidance of industry pioneers from Google and Stanford's trailblazing autonomous dri.
provider Udacity
pricing Free Online Course
sessions On-Demand
California Institute of Technology Udacity  Nanodegree

AI for Trading

AI for Trading Nanodegree by Udacity: Dive into the dynamic world of trading with a comprehensive Nanodegree program. This course offers hands-on real-world projects crafted by seasoned industry professionals. Covering a wide array of topics from asset management to generating trading signals, it equips you with the mastery of AI algorithms essenti.
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provider Udacity  Nanodegree
pricing Paid Course
duration 26 weeks, 10 hours a week
California Institute of Technology University of Washington

Machine Learning: Regression

Explore the fascinating world of machine learning with a focus on regression in this comprehensive course titled "Machine Learning: Regression", offered by the University of Washington through Coursera. Delve into a practical case study on predicting housing prices, where you'll employ models to forecast a continuous value - the price - based on in.
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provider Coursera
pricing Free Online Course (Audit)
duration 22 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!