Python courses

587 Courses

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.
course image
provider edX
pricing Free Online Course (Audit)
duration 7 weeks, 10-30 hours a week
sessions On-Demand

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.
course image
provider edX  Professional Certificate
pricing $518.00
duration 19 weeks, 8-24 hours a week

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

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.
course image
provider Udacity  Nanodegree
pricing Paid Course
duration 26 weeks, 10 hours a week

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.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 22 hours
sessions On-Demand

Machine Learning: Classification

Explore the dynamic field of Machine Learning with a focus on Classification in this comprehensive course offered by the University of Washington through Coursera. Dive into practical case studies including Analyzing Sentiment and predicting Loan Default to master classification techniques. You'll learn how to develop models that can distinguish be.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 21 hours
sessions On-Demand

Classify space rocks by using Python and artificial intelligence

Unlock the mysteries of the cosmos with our engaging course, "Classify Space Rocks using Python and Artificial Intelligence," brought to you by Microsoft Learn. This unique course is designed for enthusiasts and professionals alike, covering the fascinating intersection of space science and cutting-edge AI technologies. Dive into this comprehensive.
provider Microsoft Learn
pricing Free Online Course
duration 1 hour 56 minutes
sessions On-Demand

Machine Learning Foundations: A Case Study Approach

Embark on a journey into the world of machine learning with "Machine Learning Foundations: A Case Study Approach" offered by the University of Washington through Coursera. This introductory course is designed to provide you with a hands-on experience in machine learning through practical case-studies. Dive into predicting house prices, analyzing us.
course image
provider Coursera
pricing Free Online Course (Audit)
duration 18 hours
sessions On-Demand

Artificial Intelligence: Reinforcement Learning in Python

Explore the future of AI with our comprehensive course "Artificial Intelligence: Reinforcement Learning in Python" on Udemy. This complete guide dives deep into the world of Reinforcement Learning, uncovering its applications in stock trading and online advertising. Understand the technical aspects of reinforcement learning and its psychological pa.
course image
provider Udemy
pricing Paid Course
duration 14 hours 42 minutes
sessions On-Demand

Artificial Intelligence for Business + ChatGPT Prize [2024]

Enhance your career in artificial intelligence and leverage AI for business success with our comprehensive course, "Artificial Intelligence for Business + ChatGPT Prize [2024]," offered exclusively on Udemy. This groundbreaking course is designed to arm you with the skills to solve real-world business problems using advanced AI solutions coded in P.
course image
provider Udemy
pricing Paid Course
duration 15 hours 7 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!