The average salary for AI engineers is around $247k annually, AI startups get one-fifth of venture money, and businesses want to spend $200 billion in AI infrastructure by the following year. As AI emerges as the most significant technological advancement since the Internet, these numbers will only rise. And for those with the necessary training and expertise, AI will provide a plethora of options, just as the Internet did. No wonder AI courses online are in demand.
The greatest courses are accessible everywhere for total novices looking for a simple, non-technical introduction to artificial intelligence. These courses are particularly intended to offer a comprehensive understanding of AI’s capabilities and prospects without emphasizing arithmetic or coding.
The formula is straightforward for readers who need technical expertise and experience: you need a solid foundation in the basics, some specific knowledge in a certain category or subtopic, and a few completed projects.
Top AI Courses To Consider

1. AI For Everyone in Coursera
The greatest beginning course for AI courses online is called AI for Everyone. By enrolling in this course, you will get a thorough understanding of artificial intelligence (AI), including its capabilities, advantages, common misunderstandings, and prospects. There are no prerequisites, math requirements, or coding required since this is a non-technical introduction for total novices.
This course’s main goal is to provide you with the knowledge necessary to have informed conversations about AI technology and how to start using it in your company or profession. The latest course, Generative AI for Everyone, is another accessible course for beginners that focuses on GenAI. If you’re looking for a non-technical method like this one, but for large-language models, take this course.
- Rating: 4.8
- Pricing: $49.99/month
- Level: Beginner
2. Best Math/Programming-Free Introduction for Non-Experts with Free Certificate in University of Helsinki
Can you explain artificial intelligence? What impact does it have on your life and work? How will the field of artificial intelligence advance? Do you want the answers to these problems to come from mathematicians and AI enthusiasts without the garbling? Encouraging those who are unfamiliar with AI to learn more about it might take Helsinki’s free Introduction to AI course.
As a result, almost everyone may begin studying AI here. However, it does not imply that the material covered in this course is unimportant. Not only will you be able to explain artificial intelligence (AI) and explain how it can reason through and solve problems, but you’ll also be able to explain machine learning and neural networks mathematically and have sufficient knowledge to engage in discussions about the ethics and philosophy of AI.
And how is the course going to pull this off? Use clear and concise writing, attractive graphics, interactive activities, multiple-choice questions, and explanatory examples! Just take a peek at the stunning appearance of the course chapter’s page.
This course is still recommended even if you have some programming experience and don’t like math. Why? Because this course provides a free certificate of completion, and also because this introduction builds up to the next more practical and hands-on course, Building AI.
- Rating: 4.8
- Pricing: Free
- Level: Beginner
3. Artificial Intelligence Nanodegree in Udacity
Anyone who wants to study a variety of AI methods from world-renowned AI specialists. The curriculum for this one of the best AI courses online provides a broad review of fundamental AI concepts, emulating the structure of Norvig’s textbook but condensing it. It’s more of a fundamental course covering the tools side of AI, not machine learning or generative AI.
Projects that serve as the course’s capstone reinforce the lessons you’ve learned. These involve creating a part-of-speech tagging model, an adversarial game-playing agent, a forward-planning agent, and a sudoku solver. These assignments will strengthen your comprehension and contribute significantly to your portfolio.
- Rating: 4.8
- Pricing: 3 months for $1017
- Level: Beginner-Intermediate
4. Best Introduction for Python Programmers with Free Certificate in edX
This CS50 course will be a huge hit if you’re comfortable with Python and eager to get right into AI! You may get a free unconfirmed certificate by taking the course on Harvard OCW or paying edX to get a validated certificate.
As one would expect from a Harvard course, this demanding seven-week course will need some time and work to finish, but it is well worth the effort. In conclusion, you will be able to create your intelligent systems using AI concepts and work with machine learning libraries such as sci-kit-learn, pillow, and TensorFlow.
Harvard’s CS50 courses on Harvard OCW typically have no time restriction and provide full access to the course content, including 12 coding projects and 7 tests, in contrast to some other free-to-audit courses. Therefore, you would like this course better than the prior Helsinki course if you prefer professionally produced university-style video lectures over text articles.
- Rating: 4.7
- Pricing: Free
- Level: Beginner
5. Computer Science for Artificial Intelligence Professional Certificate in edX
This is an edX professional credential lasting five months that corresponds with the Harvard CS50 in-person program. It is one of the most well-liked online courses in computer science for beginners and is unique for several reasons.
This program’s signature feature is its extensive usage of original and difficult problem sets. Building programs that test your knowledge of code, algorithms, and data structures—all essential software engineering topics for creating artificial intelligence—will be your task in the first course. The next course covers the basics of artificial intelligence, challenging you to create different AI algorithms for each subject.
- Rating: 4.9
- Pricing: $348
- Level: Intermediate
6. Best Business-Focused Introduction for Non-Experts in Coursera
Deep Knowledge, similar to Helsinki’s Introduction to AI, AI’s AI For Everyone course is open to all students without any requirements. It differs in that it gives more attention to the commercial applications of AI. How may AI benefit your team? How do you use it similarly to how Baidu and Google did? What are the ethical and social ramifications, above all?
By the end of this course, which includes numerous case studies, video lectures, and quizzes, you’ll not only have the skills to help yourself and your business navigate the rise of AI, but you’ll also understand AI technology better than most large company CEOs (your smart toaster will finally respect you).
- Rating: 4.8
- Pricing: Free to audit
- Level: Beginner.
7. Develop LLM powered applications with LangChain in Udemy
Retrieval Augmented Generation (RAG), vector databases, and agentic workflows are some of the nifty LLM enhancements that enable the development of more intricate systems that outperform the basic chat APIs in problem-solving.
With these enhancements, your program becomes more than just a basic wrapper for ChatGPT and enables you to outperform possible rivals. The most well-liked Python libraries and methods for utilizing these advancements are taught in this course. The lecturer codes end-to-end examples to show students how they function in actual projects.
This course is more intended for developers who want to rapidly construct complex LLM applications than for those who want to master the underlying theory and mathematics. We highly suggest this course if you want to examine the current LLM tech stack. The breadth and complexity of the audio/video production are well-balanced, and the interactive sample projects make it simple to understand how everything works together.
- Rating: 4.6
- Pricing: $89.99
- Level: Intermediate
8. Best AI Math Course for Beginners in Coursera
It’s interesting and stimulating to discuss artificial intelligence (AI) at parties, but soon enough, someone will approach you and ask how linear regression works. At that point, it will merely become a game of “Who can pretend to understand linear algebra the longest?”
Well, why not enroll in this one of the best AI courses online if that’s the kind of game you’re sick of losing? With only three weeks and two hours each week, you can get an intuitive grasp of some of the most well-known machine learning techniques used in artificial intelligence.
The Korea Advanced Institute of Science and Technology (KAIST) presents an extensive free-to-audit course that simplifies the complex subject of linear algebra into manageable, accessible parts. Naturally, if you are new to the field of artificial intelligence, this course also provides you with an overview of machine learning and artificial intelligence.
- Rating: 4.5
- Pricing: Free to audit
- Level: Beginner
9. Deep Learning Specialization in Coursera
Students with some experience who wish to go into the deep learning aspect of AI. Designed as a sequel to Andrew Ng’s Machine Learning Specialization, this course delves deeply into deep neural networks, the science behind several advancements in artificial intelligence.
To fully comprehend the most significant advances in AI, such as self-driving vehicles and big language models, all students studying AI should have practical experience with neural networks and deep learning. You will get a thorough understanding of deep neural network architecture and mathematical operations over five months via guided coding sessions.
Check the syllabus for a complete breakdown of all the topics you study and apply—there are too many to cover here. Just be aware that each module includes difficult assignments and tests to make sure you retain the knowledge the teachers have taught you. This curriculum will provide you with an intuitive grasp of the fundamental architecture underpinning cutting-edge artificial intelligence (AI) if you already possess the necessary expertise in Python, linear algebra, and machine learning.
- Rating: 4.9
- Pricing: $49.99/month
- Level: Intermediate
Reasons To Learn AI
The need for AI specialists and AI courses online is rising at an exponential rate as more companies and governments make investments in AI technology. Artificial intelligence expertise is highly sought after by computer workers, according to LinkedIn Talent Solutions.
Furthermore, the World Economic Forum’s Future of Occupation Report often mentions artificial intelligence, highlighting the technology’s significance for occupations of the future. Of course, if money is your primary motivator (who isn’t?), bear in mind that the average pay for a machine learning engineer in the US is a respectable USD 165K, according to Glassdoor.
There are several reasons to attempt to comprehend AI even if you have no plans to pursue a career in it, provided that you do so on a non-technical level. You are undoubtedly aware of the discussion and controversy surrounding artificial intelligence (AI)-generated material, like ChatGPT plagiarism in schools and AI art copyright legislation.
Undoubtedly, AI made the technology so widely available to the general public. That’s probably why, even if you’re the “average person,” you should still make an effort to educate yourself on AI to the point where you can express your thoughts about it clearly and concisely.
FAQ
Q: Is it difficult or simple to study artificial intelligence?
A: Contrary to common belief, artificial intelligence isn’t difficult to understand or master. But you need a knack for programming, math, and statistics to grasp the fundamental concepts. These skills will enable you to employ AI models, evaluate data, and develop efficient algorithms.
Q: How can I enroll in a course in artificial intelligence?
A: Enrolling in a data science boot camp or taking an online course are two ways to study artificial intelligence. A lot of boot camps provide a machine-learning introduction. One technique used by AI is machine learning, which entails subjecting an algorithm to a lot of data.
Q: Is artificial intelligence teachable to anyone?
A: You need to begin with a solid mathematical basis. After that, enroll in a machine learning beginner course. It’s a machine learning course, which is a far, far bigger subject than deep learning or even neural networks in general. Indeed, even a layperson can learn AI.