Anyone interested in the field of artificial intelligence (AI) should keep up with the newest developments, as the field is continuously evolving. Thankfully, there are a ton of free online courses that cover everything from the fundamentals to more complex subjects of artificial intelligence. These are the top 15 free AI courses for 2024:
- IBM presents an overview of artificial intelligence (AI)
This Coursera course offers a thorough introduction to artificial intelligence, including both theoretical ideas and real-world applications. Key terminologies, the history of AI, and its numerous subfields will all be covered. - Andrew Ng’s AI for Everyone
This course, which is available on Coursera, is meant for non-technical audiences. Leading AI expert Andrew Ng makes AI topics understandable to professionals and business executives by explaining them in layman’s words. - University of Helsinki’s AI components
Demystifying AI and its potential is the goal of this self-paced course. It goes on the fundamentals of artificial intelligence, machine learning, neural networks, and moral issues. Beginners will find the course’s structure approachable. - Harvard University’s CS50: An Introduction to Artificial Intelligence with Python
This course is part of Harvard’s well-liked CS50 series and is available on edX. It covers subjects including natural language processing, machine learning, and search algorithms while teaching AI principles through practical Python applications. - IBM’s AI Foundations for Everyone
The fundamental ideas of artificial intelligence (AI), such as machine learning, deep learning, and neural networks, are covered in this edX course. It also looks at practical uses of AI across a range of sectors. - Stanford University’s Machine Learning
One of the most well-liked AI courses on Coursera is the one offered by Andrew Ng. It offers a thorough examination of model evaluation, MATLAB/Octave practical implementation, and machine learning techniques. - Andrew Ng’s Specialization in Deep Learning
This specialization, which includes five courses covering deep learning, neural networks, and more complex methods like sequence models and convolutional networks, is another one of Andrew Ng’s offerings on Coursera. - Georgia Tech’s Artificial Intelligence for Robotics
This course, which is available on Udacity, focuses on using AI in robotics. It covers robotic system planning, navigation, and control utilizing case studies from real-world applications and probabilistic methods. - Deeplearning.ai’s Introduction to TensorFlow for Machine Learning, Artificial Intelligence, and Deep Learning
TensorFlow is an open-source machine learning framework that is introduced in this Coursera course. For AI applications, you will learn how to create and train neural networks. - The University of Helsinki’s AI Ethics
The ethical implications of AI technology are examined in this course, which is a part of the Elements of AI series. It addresses issues including responsibility, transparency, and bias with the goal of encouraging ethical AI research. - The Machine Learning Crash Course on Google AI
With its AI platform, Google provides this extensive crash course for free. It focuses on fundamental machine learning ideas and consists of interactive courses, hands-on practice, and real-world case studies. - IBM’s Overview of Data Science
This Coursera course covers fundamental data science abilities, such as data analysis, visualization, and machine learning, even though it is not exclusively AI-focused. This course lays a solid basis for AI study. - Using AI with Google Cloud Practices
This course, which is offered on Coursera, gives students practical exposure with Google Cloud AI technologies. You’ll discover how to use TensorFlow, AutoML, and other Google Cloud services to develop AI solutions. - Deeplearning.ai’s Natural Language Processing
Natural language processing is the subject of this Coursera course (NLP). Building NLP models for applications such as sentiment analysis, machine translation, and text categorization will be covered in this course. - Udacity’s Introduction to Computer Vision
An essential area of artificial intelligence, computer vision, is covered in this course. You will discover how to use deep learning and OpenCV to create computer vision applications.
Important Aspects of These Courses
Extensive Content: From basic ideas to sophisticated methods, these courses address a broad spectrum of AI issues.
Expert Teachers: Faculty from prestigious universities and prominent AI professionals like Andrew Ng instruct a number of courses.
Practical Projects: Interactive exercises and projects support learning and offer practical experience.
Flexible Learning: Since most courses are self-paced, you can study whenever it’s most convenient for you.
Suitable for Novices: Many courses are intended for students with no prior programming or artificial intelligence skills.
How to Pick the Appropriate Path
Establish Your Objectives: Decide what you hope to accomplish with AI. Do you want to focus on a particular field, such as computer vision or machine learning, or are you just interested in gaining a general understanding?
Think About Your Experiences: Select a course based on the degree of knowledge you currently possess. While some courses are appropriate for total beginners, some require prior programming knowledge.
Examine the course syllabus: Make sure the course syllabus covers subjects that interest you and support your objectives by reviewing it.
Examine Reviews: To determine the quality and effectiveness of the course, look for evaluations and endorsements from previous students.
Make Use of Free Trials: A lot of platforms allow you to taste the course material before committing, through free trials or audit choices.
In summary
The year 2024 is a great time to start studying artificial intelligence because there are a ton of free AI courses available. These top 15 courses offer invaluable tools to support you in reaching your objectives, whether you’re a novice trying to grasp the fundamentals or an experienced professional hoping to expand your knowledge. You can take advantage of new job prospects and remain ahead of the always changing AI landscape by making the most of these educational opportunities.