Collection of Self-Study AI Resources for Beginners

AI is becoming one of the most important technologies in the present era. With the rapid development of artificial intelligence, self-learning AI is no longer a big challenge. In the following article, Sadesign will summarize AI learning resources for beginners, helping you approach and master basic knowledge of AI effectively. 

1. Introduction to artificial intelligence (AI)

Artificial Intelligence (AI) is rapidly changing the way we work, communicate and live. With the ability to analyze data, learn and make decisions, AI is being applied in all fields, from healthcare, finance to transportation, education and many other industries. Not only large enterprises, but also individuals who want to start a career in technology can learn and apply AI.

For beginners, finding the right learning resources to teach yourself AI can be a challenge. However, with the advancement of technology, there are now many courses, materials, and support communities that can help you build a solid understanding of AI.

2. AI Online Learning Platforms

2.1. Coursera

Coursera is one of the most popular online learning platforms today, offering a wide range of AI courses from the world's top universities. The courses here can help you approach AI from the most basic concepts to in-depth lessons on machine learning, deep learning, natural language processing (NLP) and many other areas.

Courses on Coursera can be completely free or paid depending on the learner’s needs. Some notable courses include “AI For Everyone” by Andrew Ng and “Deep Learning Specialization”.

2.2. edX

edX is another online learning platform that offers AI courses from major universities like MIT, Harvard, and Stanford. The courses on edX help learners master the fundamentals of AI, machine learning, and real-world applications of AI.

By taking courses on edX, you will not only learn theory but also have the opportunity to practice through real projects and exercises. Moreover, the courses on edX are of high quality and are updated regularly to match modern technology trends.

2.3. Udacity

Udacity stands out for its in-depth courses in technology fields, especially AI and machine learning. The programs at Udacity are designed to help learners gain in-depth knowledge and develop practical skills through large projects.

Udacity also partners with many large tech companies, giving students access to real-world problems that companies are solving, which is helpful for those looking to land a job in AI.

3. AI Learning Books for Beginners

3.1. “Artificial Intelligence: A Modern Approach” của Stuart Russell và Peter Norvig

This is one of the most classic books on AI, used by many lecturers and industry professionals as a teaching material. The book provides an overview of the basic concepts of AI, including search algorithms, machine learning, natural language processing, pattern recognition, and many other topics.

For beginners, the book can be quite difficult due to the huge amount of knowledge it covers. However, if you want to dive deep into AI, this is a must-have book.

3.2. “Python Machine Learning” của Sebastian Raschka

Python is the most popular programming language in the field of AI and machine learning. The book “Python Machine Learning” will help you understand how to use Python to build machine learning models. By combining theory and practice, this book will equip you with the basic programming and data analysis skills that are essential for developing AI applications.

3.3. “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” của Aurélien Géron

This book focuses on applying machine learning and deep learning to real-world projects. It will guide you through using popular Python libraries like Scikit-Learn, Keras, and TensorFlow to build AI models. The book is suitable for people who have a basic programming background and want to learn how to apply AI in real-world applications.

4. Basic steps to learn AI from scratch

4.1 Understand the basic concepts of AI

When starting to learn AI, it is very important to master the basic concepts. This will help you understand the principles of AI operation, thereby building a solid foundation for accessing advanced knowledge.

Terms you need to be familiar with include:

Machine Learning: This is a branch of AI where systems can learn from data and improve performance without being specifically programmed.

Deep Learning: This is a sub-technique of machine learning, using artificial neural networks to handle complex problems.

Natural Language Processing: AI helps computers understand and process human language.

Computer Vision: AI helps computers recognize and analyze images and videos.

4.2 Choose appropriate learning resources

Currently, there are many sources of AI learning materials from basic to advanced. However, choosing reputable, quality materials will help you save time and quickly absorb knowledge. 

5. Free AI Learning Resources for Beginners

Here are some free and effective AI learning resources:

5.1 Learn AI from top universities

Coursera is one of the most popular online learning platforms today. Here, you can find many quality AI courses from prestigious universities such as Stanford, MIT and many other organizations. One of the featured courses is "AI For Everyone" by Andrew Ng, the founder of Coursera and a leading expert on AI.

These courses are suitable for beginners and do not require a strong foundation in programming or mathematics. Additionally, Coursera offers certificates of completion, which can help you enhance your career value.

5.2 Find AI courses from universities

edX is also an online learning platform that offers a variety of free and paid AI courses from prestigious universities such as Harvard, MIT, and Berkeley. The courses here are well-designed, helping learners approach AI from basic concepts to advanced techniques.

Some notable courses on edX include “Introduction to Artificial Intelligence” and “CS50's Introduction to Artificial Intelligence with Python.” These courses will help you understand how AI can be applied in the real world, especially in applications like image recognition, machine translation, and chatbots.

5.3 Khan Academy – Learn AI through easy-to-understand lessons

Khan Academy is a popular free learning platform where you can learn basic subjects like math, computer science, and programming. While Khan Academy is not specifically focused on AI, you can learn the fundamentals of programming and math, which are important foundations for learning AI.

Khan Academy also has lessons on AI-related topics like machine learning and algorithms. Mastering programming skills will make it easier for you to access and master AI techniques later on.

5.4 YouTube – Free AI learning channel from experts

YouTube is a rich source of learning materials with millions of AI tutorials. Popular channels like 3Blue1Brown, Sentdex, and Siraj Raval offer AI tutorials from basic to advanced, making it easy to grasp the knowledge without spending a lot of money.

These videos help you understand AI concepts and algorithms, and provide real-world examples so you can put your knowledge into practice.

6. Sadesign - Genuine AI software provider

In the era of rapid technological development, artificial intelligence (AI) is becoming an indispensable part of every industry. Businesses and organizations are looking for smart solutions to optimize workflows and improve work efficiency. To meet this need, Sadesign has continuously developed genuine AI software, providing advanced tools to help individuals and organizations easily apply AI to their work.

Sadesign always focuses on providing reputable, quality AI software products , suitable for everyone from beginners to experts in the technology field. Sadesign's AI software not only helps save time but also optimizes workflows, bringing high efficiency to businesses and individuals.

With a team of experienced experts and professional technical support, Sadesign is committed to being a reliable partner for all your AI software needs. In addition to providing software, Sadesign also provides free courses and learning materials so that users can learn and master AI technology quickly and effectively.

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7. Conclusion

By using learning resources, you will have the opportunity to build a solid knowledge base, preparing for a promising career in the AI ​​industry. Start from the basics and continuously learn and gain practical experience to improve your skills. Surely with perseverance and determination, you will be able to apply AI to real projects, as well as contribute to the development of this industry in the future.