Having access to material on AI, ML, and data science has made it easier than ever to become an expert in the field.
The demand for information on artificial intelligence’s precise operation has increased dramatically as a result of its unparalleled global visibility. The good news is that there has never been greater accessibility to these courses.
In terms of providing courses in artificial intelligence and data science, several colleges have soared to the top of the rankings. In the QS World University Rankings for artificial intelligence and data science in 2024, over 75 universities were listed, up from hardly 20 in 2023.
This indicates a rise in interest in both teaching and learning about artificial intelligence. However, what does this mean to you? There are a plethora of online courses available to help you upskill, even if you’re already enrolled in a course and would like to broaden your horizons.
This would be beneficial, particularly because the majority of jobs are shifting to incorporate AI into daily operations. It could be challenging to locate the ideal training that is both reasonably priced and educational. Here is a summary of some of the top AI courses that are currently available for free.
Patrick Winston’s 6.034 Artificial Intelligence course is available online through MIT. The course covers the fundamentals of problem-solving, information presentation, and AI learning techniques.
Professor Winston’s lectures are included, along with access to all readings, tutorials, assignments, tests, and demos required to finish the course. The course is entirely free and can be taken at your leisure.
Through Coursera, UCD is now providing a course on “Big Data, Artificial Intelligence, and Ethics.” The course covers big data potential as well as the specifics of artificial intelligence. It also promotes learning about natural language processing and chances to communicate with IBM Watson.
Some free courses on artificial intelligence are available from Harvard, covering topics from the fundamentals to the consequences of AI for business and policy. A total of seven courses are offered, covering topics such as Python, machine learning, data science, and even the basics of TinyML.
- Stanford University
The Stanford School of Engineering’s “Machine Learning Specialization” course is available through Stanford University Online. Andrew Ng is offering a self-paced course on Coursera where interested applicants can learn about machine learning in general. Among other topics covered in the course are neural networks, clustering, logistic regression, and multi-linear progression.
Through Coursera, the University of Washington is providing a course titled “Machine Learning Foundations: A Case Study Approach.” The eighteen-hour self-paced course goes over the fundamentals of Python programming, machine learning, and deep learning.
A brief, free course in artificial intelligence is available at Georgia Tech. Known for his work on wearable computing, Thad Starner teaches a two-hour course covering the foundations of probability, machine learning, pattern recognition, and classical search. Udacity is the current provider of the course.
- Googlehttps://www.intel.in/content/www/in/en/homepage.html?cid=sem&source=sa360&campid=2024_ao_cbu_in_gmo_gmocrbu_awa_text-link_brand_exact_cd_Intel-Brand-Global_3500186468_google_b2b_is_non-pbm_intel&ad_group=Corp-Brand_Brand-Core_Core_Exact&intel_term=intel&sa360id=43700079811835559&gad_source=1&gclid=Cj0KCQjwltKxBhDMARIsAG8KnqU0ruAu09Lrb3P7lTlwpkLsTROzqcPmyUsqdH1f3tpOwc44n_2F1PgaAgY5EALw_wcB&gclsrc=aw.ds
Google, a short course called “Google AI for Anyone” is offered by Google. The two-hour self-paced course covers the foundations of artificial intelligence (AI), machine learning, and data learning, as well as how they relate to one another. The course also covers neural network theory, AI ethics, applications, and the consequences of bad data.
An eight-week course on “Introduction to AI” is offered by Intel. The extensive course covers everything from AI’s early development to its present applications. On the other hand, prior knowledge of Python programming is required for this course. Students, industry experts from different science professions, and developers are the target audience for this course.
In collaboration with Coursera, IBM provides an AI fundamentals course. The course covers the foundations of artificial intelligence, with a focus on generative AI and chatbot applications. It’s interesting to note that it also provides a curriculum on creating chatbots powered by AI without programming. Similar to the UCD course, it is easily accessible to anyone with minimal AI understanding and gives access to IBM Watson.
AWS provides a free course on AI and machine learning that includes a study guide. The self-paced, ten-hour course is designed for beginners. It provides commentary on machine learning principles, jargon, and applications in business. An overview of Amazon SageMaker, their in-house machine learning platform, is also included in the course.
