AI and ML present tremendous advances across nearly every industry and present multiple jobs and career paths. Competitive and innovative master’s programs are appealing to those who want to study these fields on a budget: learning so many prestigious institutions and platforms offer their courses for free. Whether you are a first-time learner who needs to have fundamental knowledge or an advanced learner who wants to have more knowledge, you are welcome.
In this article, we will discuss the 10 excellent free AI and ML courses that can give you basic knowledge on the subject. From foundational theories to fundamental concepts to real-life working models, these courses consist of a series of sets of ideas that enable you to build competencies or acquire considerate understanding. Check out these options and be able to select the one that will work for you in your endeavor to learn the fundamentals of AI and ML.
Here it is possible to learn the machine learning basics of both theoretical and practical concepts used in this field. This includes the topics such as supervised and unsupervised learning, model evaluation as well as feature selection.
Provider: Coursera
Duration: 4 weeks
Level: Beginner
Instructor: Andrew Ng, a renowned expert in AI
AI For Everyone has been crafted with the intent of letting non-technical people learn how AI works and its effect on the world. It encompasses basic concepts of AI, its applications within industries, and ethics related to this field.
Provider: Coursera
Duration: 6 hours
Level: Beginner
Instructor: Andrew Ng
This course provides a rapid but thorough introduction to machine learning. It includes interactive exercises and actual examples, gives an introduction to TensorFlow, and more.
Provider: Google
Duration: 15 hours
Level: Beginner-Intermediate
Format: Self-paced
This specialization covers five courses on deep learning techniques, neural networks, and their applications. It's more advanced, and if you have a little background in machine learning, this would serve you best.
Provider: Coursera
Duration: 3 months
Level: Intermediate
Instructor: Andrew Ng
This course covers some AI principles such as machine learning, neural networks, and the impact of AI on society. It consists of: video lectures, quizzes, and hands-on exercises.
Platform: edX
Duration: 6 weeks
Level: Beginner
Instructor: IBM
The course covers practical machine learning using Python. You will learn about data analysis, model building, and some of the evaluation techniques using Python libraries.
Provider: edX
Duration: 5 weeks
Level: Beginner to Intermediate
Instructor: IBM
In this course, the student learns the basic ideas of AI and machine learning, several important concepts, tools, and technologies associated with AI development. This course will include hands-on labs and quizzes.
Provider: IBM
Duration: 3 hours
Level: Beginner
Format: Self-paced
Elements of AI provides a cursory overview of the major concepts leading to AI: its history, technology, and societal implications, among others. It is tailored for the individual who wants to learn about the basics of AI.
Provider: University of Helsinki
Duration: 6-8 hours
Difficulty Level: Beginner
Format: Self-paced
Data Science courses covered in this MicroMasters program include machine learning and AI applications. This course provides an in-depth look at data analysis and predictive modeling.
Platform: edX
Duration: 12 months
Level: Intermediate to Advanced
Instructor: University of California, San Diego
This course is about implementing AI technologies into the healthcare sectors. It covers topics such as medical imaging, diagnostics, and personalized medicine.
Provider: Stanford Online
Duration: 6 weeks
Level: Intermediate
Instructor: Stanford University
To get started with AI and Data Science courses, you don't have to break the bank. The above ten free courses are a good starting point for anyone interested in getting their hands on these leading technologies. The courses range from introductory courses in machine learning to very specialized applications in health, such that every learner will find his or her favorite course that will suit his interests and career goals.
You will be well-equipped to further your advanced studies or professional roles in AI and ML with strong foundational understanding earned through these free resources. Start learning these courses today and take an initial step in your valuable career related to AI and Machine Learning.
1. Are these courses free?
Yes, all the courses listed are offered for free. Some platforms may charge for additional features like certifications.
2. Do I need prior knowledge to enroll in these courses?
Most of the courses cater to beginners, though some may assume basic familiarity with programming or mathematics.
3. How long does it take to complete these courses?
Completion times vary, ranging from a few hours to several months depending on the course and your pace.
4. Can I earn a certificate for free?
Certificates are often available for a fee. However, you can still access the course content without a certificate.
5. Will these courses help me get a job in AI or ML?
While these courses provide foundational knowledge, gaining practical experience and working on projects will enhance your job prospects.