Education

Learn artificial intelligence system (All the resources and information you need)

BY Jaber Posted August 10, 2023 Update August 14, 2023
Learn artificial intelligence system (All the resources and information you need)

Master artificial intelligence systems with our comprehensive guide. Learn AI concepts, algorithms, and applications to excel in the digital era.



What you should know before learning artificial intelligence

Artificial intelligence (AI) is the science of the future and has contributed and continues to contribute to the major technological advancements that we are experiencing today. Whether you are browsing your phone, conducting your banking transactions, or even going to the doctor for a check up, you can be sure that AI has a big role in this, which is why learning AI has become extremely important.

AI, in short and simply, is the ability of a machine to think and make decisions without a specific code telling it to do so and without human supervision. It encompasses around 25 sub fields.

We mentioned the most important of these sub fields in the article "Subfields of Artificial Intelligence" which you should understand well before starting to learn AI.

Because of the importance and diversity of this field, learning AI is a long process and requires perseverance and determination. This is because learning this complex field requires an understanding and mastering of many other fields and skills, which we will discuss soon.

Demand for AI has increased by 74% in the past four years, with an average salary of $150,000 per year, according to Indeed. So, isn't it worth learning?

The Ideal Plan for Learning Artificial Intelligence 

This title might be attractive, but it's not accurate. In reality, there is no ideal plan for learning artificial intelligence, not even a clear cut plan like in traditional jobs!

However, there are requirements in the job market that require you to know specific programming languages, algorithms, and skills. And work within an agreed upon framework. So, the plan I am going to mention here is a set of detailed and comprehensive suggestions for learning artificial intelligence.

In the beginning, you should understand that learning artificial intelligence in all its domains once is extremely difficult, and might even be impossible. There are about 25 domains in artificial intelligence; some are used in military fields, and others in specialized fields like medicine, nuclear engineering, or biology, which require deep knowledge of these other specializations.

So, in this artificial intelligence learning plan, we will first learn the basic requirements, such as computer science, the Python language, and mathematics. Then we will learn the basics of artificial intelligence, and finally move on to the specific domain we want to specialize in among the artificial intelligence domains.

There are basic requirements that a learner should know before learning Artificial Intelligence

representing the alphabet of what is to come, and these skills are:

  1. Fundamentals of computer science
  2.  Python programming language 
  3. Linear algebra 
  4. Calculus
  5.  Probabilities and statistics 

It is worth noting that although fundamentals of computer science and Python language are essential for learning Artificial Intelligence, linear algebra, calculus, probabilities, and statistics are not as important at the beginning of learning Artificial Intelligence, but they are necessary later on for complete understanding, professionalism, and creativity in this field.

Many experts argue whether the learner should study these skills at the beginning, during the learning of Artificial Intelligence, or even after learning, and no one knows the correct answer.

Therefore, your task is to determine the appropriate stage for you to learn them based on the time you have allocated for learning Artificial Intelligence and your prior knowledge of mathematics and statistics.

Fundamentals of computer science

Computer science is a necessity and can't be ignored for learning artificial intelligence or other fields related to programming. This is because it teaches you about what a computer is and how it works, as well as the fundamentals of programming that need to be understood before learning any programming language.

How these languages work, how the computer interacts with them, understands them, and executes commands, among other things.

Fortunately, there are many good online courses that teach computer science for beginners, including:

This course is designed for beginners and provides a comprehensive introduction to computer science, including the basics of programming, algorithms, data structures, and more. The course covers fundamental concepts in computer science and helps students develop problem solving skills through hands on coding projects. The course is highly recommended for anyone interested in computer science or software development and is considered one of the best computer science courses for beginners. The course is available online through edX and is offered for free.

Python programming language

Python is a high level, interpreted programming language that was first released in 1991. It is a dynamically typed language, meaning that you don't have to declare the data type of variables before using them. This makes it easy to write and read code in Python, as the language is designed to be human readable and to encourage the use of whitespace and clear, concise code.

Python is widely used for a variety of applications, including web development, scientific computing, data analysis, artificial intelligence, and more. It has a large and active community of developers who have created many libraries and modules that make it easier to perform complex tasks with minimal code.

One of the key benefits of Python is its simplicity and ease of use, making it a great choice for beginners who are just starting to learn programming. It also has a rich standard library, which provides pre written code that can be used to perform common tasks, such as reading and writing files, connecting to the web, and more.

Overall, Python is a versatile, flexible, and powerful language that is well suited to a wide range of applications.

This course provides an introduction to programming and the Python language. Students are introduced to core programming concepts like data structures, conditionals, loops, variables, and functions. This course includes an overview of the various tools available for writing and running Python, and gets students coding quickly. It also provides hands on coding exercises using commonly used data structures, writing custom functions, and reading and writing to files. This course may be more robust than some other introductory python courses, as it delves deeper into certain essential programming topics.

 Linear Algebra

is one of the most important branches of mathematics, which is used in many fields in most of the existing disciplines including humanities. It is important for understanding and learning artificial intelligence in general and is the foundation stone in many applications of artificial intelligence and machine learning such as prediction, inference, and image recognition.

Some of the best resources for learning Linear Algebra include:

is a course offered on the Coursera platform that focuses on teaching the concepts of linear algebra and its applications in the field of machine learning. The course is designed to help students understand the mathematical foundations of machine learning algorithms and to build their knowledge of linear algebra concepts such as vectors, matrices, eigenvalues, and eigenvectors. This course is suitable for students with a basic understanding of mathematics who are interested in learning about linear algebra and its applications in machine learning.

Differential and Integral Calculus

You may have taken differential and integral calculus in an earlier stage of your educational journey and likely had a negative impression of it, but I assure you that this time your impression will change completely.

The following courses that explain differential and integral calculus are exciting and enjoyable, and they try to explain to you what differential and integral calculus really are, not just remind you of equations, differentiation and integration methods.

Differentiation is an important branch of mathematics for programmers and artificial intelligence engineers because its main position is change and calculation, which are subjects that we desperately need in various fields of artificial intelligence. I recommend of the best course that explain differential and integral calculus:

 is a course that covers the mathematical foundations that are essential for understanding and applying machine learning techniques. It focuses on multivariate calculus, which is the branch of mathematics that deals with the study of functions of multiple variables.

The course is available on the Coursera platform, which is an online learning platform that offers courses from top universities and institutions. To find the course, simply go to the Coursera website and search for "Mathematics for Machine Learning: Multivariate Calculus".

Once you have found the course, you can enroll and start learning. The course is typically self paced, so you can study and complete the material at your own speed. You will have access to video lectures, interactive quizzes, and other learning materials, as well as opportunities to engage with other students and instructors.

Overall, the "Mathematics for Machine Learning: Multivariate Calculus" course on Coursera is a great resource for anyone who wants to gain a deeper understanding of the mathematical concepts that underlie machine learning, and how to apply them in practice.

Probability and Statistics

And now, the final station before starting our journey to learn Artificial Intelligence, which are Probabilities and Statistics and both of them are essential topics for learning Artificial Intelligence and a large part of computer science fields in general.

Regarding Artificial Intelligence, learning probabilities and statistics will enable you to understand many algorithms and it will also help you understand data better and enable you to read it more efficiently.

Some of the most important courses related to probabilities and statistics that I would recommend to you are:

is a course that provides an introduction to the fundamental concepts and techniques of probability theory. The course covers basic probability concepts such as random variables, probability distributions, and statistical inference, and provides a solid foundation for further study in areas such as machine learning, data science, and statistics.

The course is available on the edX platform, which is an online learning platform that offers courses from top universities and institutions around the world. To find the course, simply go to the edX website and search for "Introduction to Probability".

Once you have found the course, you can enroll and start learning. The course is typically self paced, so you can study and complete the material at your own speed. You will have access to video lectures, interactive quizzes, and other learning materials, as well as opportunities to engage with other students and instructors.

Overall, the "Introduction to Probability" course on edX is a great resource for anyone who wants to gain a solid understanding of probability and its applications in various fields, and to learn the basic tools and techniques for working with probability data and models.

Artificial Intelligence Learning Plan

 Finally, after long hours of reviewing the basic requirements, we will feel the importance and necessity of what we have learned. Starting from this step, we will be able to apply what we have learned in practice, and every principle or algorithm we learn must be applied to a project and we can see the result of our work.

This stage of artificial intelligence learning is an extremely enjoyable stage, filled with happiness from the connection between each principle and algorithm we learn and the things we test in our lives. Additionally, our way of thinking will change according to what we learn, and we will think about how to solve problems around us or even perform tasks using the field we specialize in.

This stage will be divided into two steps: the first is related to the basics of artificial intelligence, and the second is the field we will specialize in.

Fundamentals of Artificial Intelligence

In the beginning, you need to learn about the science of Artificial Intelligence in general, which will allow you to understand it better and also help you choose your appropriate field. It will also bring you closer to understanding how Artificial Intelligence can be applied in daily life or specialized fields. I recommend two of the strongest courses for this:

 is a course that provides an overview of the basics of Artificial Intelligence (AI) and its applications. This course is designed to be accessible to individuals with little or no prior technical knowledge, and aims to provide a high level understanding of AI and its potential impact on various industries and aspects of life.

The course is available on the Coursera platform, which is an online learning platform that offers courses from top universities and institutions. To find the course, simply go to the Coursera website and search for "AI for Everyone".

Once you have found the course, you can enroll and start learning. The course is typically self paced, so you can study and complete the material at your own speed. You will have access to video lectures, interactive quizzes, and other learning materials, as well as opportunities to engage with other students and instructors.

Overall, the "AI for Everyone" course on Coursera is a great resource for individuals who are interested in learning about Artificial Intelligence and its impact, but may not have a technical background. It provides a broad introduction to the field and helps you understand the basic concepts and applications of AI.

Specializing in a Field

 In this step, you will choose a specific field and study it in depth, whether you choose to learn it directly, or choose to first learn machine learning and then specialize in it, or even if you choose to familiarize yourself with all fields at a superficial level and then choose the field closest to your interests and passions.

Learn Machine Learning

Machine learning is perhaps one of the most important and well known fields of artificial intelligence, and its powerful algorithms are used in many other fields. In my opinion, it is a crucial stop in learning artificial intelligence and I would recommend you to go through it. I will recommend the most important course to learn machine learning

The Machine Learning course is an introductory course that teaches the basics of this field. The course typically covers topics such as supervised and unsupervised learning, regression, classification, clustering, feature engineering and selection, model evaluation, and more. It is designed for people with a technical background who are interested in understanding the fundamentals of machine learning. Many of the popular platforms for online learning, such as Coursera, Udemy, and edX, offer Machine Learning courses, either for free or for a fee. Some of these courses also offer certifications, which can help you showcase your skills and knowledge to potential employers.

Deep Learning

 is a subfield of Machine Learning that uses artificial neural networks with multiple layers to analyze and model complex patterns in data. It's becoming increasingly popular in various industries such as computer vision, natural language processing, and speech recognition.

 Learning, you can consider taking online courses such as the "Deep Learning Specialization" on Coursera platform offered by deeplearning.ai, or the "Deep Learning" course on edX platform offered by IBM. There are also other resources such as books, tutorials, and research papers that you can use to supplement your learning.

Natural Language Processing(NLP)

 Here are some important courses in the field of Natural Language Processing:

 is a program that teaches the fundamentals of Natural Language Processing (NLP). This course covers topics such as text representation, sentiment analysis, machine translation, and more. The program is designed for individuals who want to gain a deep understanding of NLP and its applications in various industries. The course may require a solid understanding of programming concepts and machine learning, but no prior experience with NLP is required. The course material is delivered through a combination of video lectures, interactive quizzes, and hands on projects that allow students to apply what they've learned to real world problems.

Computer Vision

Here are the most important courses in the field of Computer Vision:

 is a course offered on the Udacity platform. The course provides an overview of computer vision, including the key concepts and technologies used in this field. Topics covered in the course may include image processing, object detection and recognition, and deep learning for computer vision. The course is designed for students with a background in computer science or a related field who are interested in learning about computer vision and its applications.

Self driven cars 

are the future of transportation and work is being done to improve and perfect them, making them safe and reliable. Many who are interested in learning AI today are attracted to this field, despite the limited courses available. However, for those interested in learning AI, we have gathered the best online courses for self driven cars according to industry experts.

 is a comprehensive program designed to help individuals learn about the various aspects of autonomous vehicles. The program covers topics such as perception, control, planning, and the design of self driving cars. The specialization is taught by experienced instructors from top universities and is designed to help individuals build a strong foundation in the field of self driving cars. It typically consists of several courses that cover different aspects of the field and culminate in a final project. Upon completion of the program, individuals will have a comprehensive understanding of the concepts and technologies used in autonomous vehicles and be well prepared for a career in the industry.

AI For Healthcare

If you're a reader who is a doctor or a pharmacist, this field is for you, as AI is widely used in healthcare fields, ranging from diagnostic procedures and reviewing X rays to predicting illness and treatment. This is in addition to scientific research and linking it to smart hours.

 Online courses for AI in Healthcare, according to experts in the field

that focuses on the use of Artificial Intelligence in the medical field. The program is designed to help professionals and students in the medical and healthcare industries understand the basics of AI and how it is used to improve medical diagnosis, treatment, and research. The specialization is composed of several courses that cover topics such as medical imaging analysis, deep learning for healthcare, and ethical and societal implications of AI in medicine. Upon completion of the program, learners will have a comprehensive understanding of the role of AI in medicine and how it is shaping the future of healthcare.