The Python programming and Artificial Intelligence (AI) are some of the highest skills in demand today in the tech-driven world. No matter how you want to develop your career, develop your own projects, or immerse yourself in the AI environment, mastery of these skills is a good move. The positive point is, there are some free beginning online courses where you can start this thrilling adventure.
The 7 best courses to learn Python and AI with no experience or excursion are given here!
Contents
1. Python Programming course
This is the right course to take in case you are only beginning to learn programming. The Python Programming course is a great introduction to the language that comes through all the core knowledge about a language too, including variables, loops, functions, and object-oriented programming, etc. Upon completion of this course, you will be capable of writing simple Python codes, and you will also be in a position to solve problems using codes.
The Reason to Take the Course.
Learn python syntax and structure.
Get acquainted on how to write as well as debug simple Python programs.
Get prepared to higher-level programming concepts.
2. Free Online Course AI for Beginners
Artificial Intelligence may be a complicated term, yet with this Free ai course for beginners, learning about AI becomes easy. The course is intended as an introduction to AI, and it discusses the fundamentals of machine learning, neural networks, and natural language processing. It is a fantastic option to get to know the concepts of AI without feeling of being overwhelmed.
The Reason to Take the Course.
Study the principles of the AI foundations.
Acquire practical knowledge of the basic AI algorithms.
Find out how AI models can be implemented using Python.
3. Python Machine Learning Introduction
An essential part of AI is machine learning, and this course gives you a chance to come straight into the deep-end with Python. This course is ideal, as you can go from learning simple types of machine learning, such as decision trees and linear regression, to creating your own models. It is an ideal staging ground to anyone who would like to know how machines can learn through data.
The Reason to Take the Course.
Discover how to apply the Python machine learning models.
Become acquainted with such libraries as scikit-learn and TensorFlow.
Learn how machine learning could be applicable in the real world.
4. Chinook Data Science Python On Course
Data science Python is a common need and this online course is a free tutorial that a beginner can use to start data science. You will get to know how to utilize Python in tracking data, visualization, and manipulation. Other fundamental libraries, such as NumPy, pandas, and Matplotlib, used prevalently in the data science sector are also taken in the course.
The Reason to Take the Course.
Learn data manipulation, analysis and visualization Python.
Become familiar with datasets in the real world.
Learn the application of Python in data driven industries.
5. Web development in Python
After getting acquitted with the basics of Python, you should see how it can be used in web programming. You have learned how to create dynamic websites and web applications written in languages (different Python frameworks such as Flask, Django, etc.). Knowledge of web development is very useful and among the most effective languages in developing a scalable and efficient web site is Python.
The Reason to Take the Course.
Find out how to develop web-based applications with Python.
Practise web development frameworks.
Learn the basics of the front and back end programming.
6. Learn Deep Learning with Python (deep Learning is available)
It is a great course to take especially to deep learning enthusiasts. Deep learning is a branch of machine learning emphasizing on very deep networks. You will discover all about deep learning in this course, and you will apply models to Python and Keras. It is a perfect fit to learners who are new to the world of AI and keen on entering its latest technologies.
The Reason to Take the Course.
Learn the fundamentals of deep learning and neural networks.
Discover how to create deep learning models using Python.
Implement deep learning algorithm into real world AI.
7. AI for Beginners: Useful AI Projects
The best way in order to solidify your knowledge about AI is to learn it by doing real projects. Practical AI projects are also provided in this course, thus enabling you to transfer what you have learnt into practice. Creating recommendation systems to demonstrating how to craft a chatbot, this course will enable you to develop a portfolio of AIs to which you may outline to prospective employers.
The Reason to Take the Course.
Create practical AI projects to strengthen your knowledge.
Get to know how to deploy AI into practice.
Develop a portfolio that proves your AI capabilities to employers.
Conclusion
You do not need to be overloaded with learning Python programming and AI. Using these free online courses, a novice can also get his or her way in with very little difficulty and then acquire the essential background knowledge to enter the career of technology. Regardless of whether you intend to get into machine learning, web development, or deep learning, all of them will cater to someone. Therefore, choose a course that will fit your objectives, and enroll yourself to learn now!
These classes are somewhere between theory and practice and will allow you to develop solid skills in both Python programming and AI.