The Suitability of Online Learning to Artificial Intelligence

The Suitability of Online Learning to Artificial Intelligence
The Suitability of Online Learning to Artificial Intelligence

Suggested Summary:

Online education certainly augurs a lot of changes for the world. Artificial Intelligence has taken off in a big way at a time of happy coincidence of unison between the spurts in online learning and cloud computing.

Description:

As the Net gets into every aspect of our lives; it is not surprising that its use and value are being extended to the field of education in a very huge manner. Online education is now catching up in a big way, and is set to grow in the years to come. This is not surprising, because mobile telephony has provided the infrastructure that one needs for taking education to the remotest corners of the world.

This vital ingredient is already present in most parts of the world, or can be set up, although the spread may be uneven in various parts of the world. Online learning has the potential to sidestep or to overcome this major constraint of traditional, classroom education.

Online education certainly augurs a lot of changes for the world, especially the developing parts. The lopsidedness in the usage and prevalence of the Net mean that there is a lot of scope for higher and deeper penetration of the Net into the regions of the world where the usual mode of physical learning is ridden with challenges.

Online learning market set to explode

Although the skewedness of the penetration of the Net is a factor; there is a tremendous spurt in online education. This is evidenced by this report from Orbis Research, which estimates the size of the global eLearning market to reach a staggering $275 billion by 2022, at a very healthy CAGR of over seven percent. In terms of numbers, this is an increase of some $110 billion from the market of 2015.  

So, what does this figure mean for online learning for Artificial Intelligence? Is there something we can discern from this figure for AI in particular? How is this growth trajectory going to be of importance to AI globally and regionally and impact it?

We are at a point where there is a confluence of growth factors for online learning and AI. While the reasons for the growth of online learning as a whole have been mentioned, what needs to be taken note of is the fact that AI is expected to better the industry growth rate. The reason: AI has taken off in a big way at a time of happy coincidence of unison between the spurts in online learning and cloud computing, which has the potential of addressing the major roadblock for AI: space needed for processing the monstrous amounts of data it generates.

 

Time is propitious for AI online learning

With technologies for online education, a medium of education that can have global reach with no major extra investments; the field of AI in online learning has become a hot market globally with major ramifications. As online education explodes, AI is set to become one of the areas with the highest growth rates. As Markets and Markets assess in this analysis, AI is expected to occupy a prime position among online courses for the years to come, expected to grow at a dizzying CAGR of 47%.

This means that a whole new possibility has been opening up for the online education market for AI. To put the numbers in perspective, the market for online learning for AI is expected to top up at over $3.6 billion in 2023 from the figure of a little over half a billion in 2018. That’s some numbers, for sure.

 

Which are the best platforms for AI learning?

As of now, players in the field of online learning have been jumping on the bandwagon to recruit experts for imparting courses on AI. Most of these courses teach all the elements of AI, such as NLP, deep learning, machine learning, robotics, data structures, machine learning algorithms, games, et al. While some of these online learning platforms vary their offerings in the form of the presentations or the interactivity and other external aspects; the course content for most of these are essentially the same. They all teach the most contemporary and relevant themes, technologies, best practice, regulations and related stuff.

Here is a list of some of the better-known platforms for online AI learning:

Google AI: Does it surprise that Google should be at the forefront of AI learning? It has a large stack of learning materials that it has put together under its ML library, TensorFlow, and is designed for learners at all levels, with this library starting for beginners and moving up.

Stanford University: Stanford has a profound online learning module for AI. It is structured and supervised by Andrew Ng, an Associate Professor from this university. Prof. Ng also happens to be the Founder of Google’s deep learning research wing, Google Brain.

Simpliv: This Fremont, CA-based platform offers meaningful and relevant courses on AI for people across the spectrum. Its courses in AI reflect its objective of becoming a source for education for anyone on this planet who wants to learn.

EdX: The presence of edX in this list of popular platforms for online AI learning should come as no surprise, considering that it is one of the leading names in online learning. Most of its courses stretch into a few weeks, and the learner can be expected to gain considerable mastery over AI concepts and put them into practice in quick time.

Udacity: Udacity brings Sebastian Thrun, founder of Google’s self-driving car team and Peter Norvig, co-author of Artificial Intelligence: A Modern Approach, which is a sort of AI bible, being used in 1300 countries in over a hundred countries, to offer their knowledge of the various elements of AI. AI is one of the subjects offered by Udacity in its Nanodegree level, which is an entry point for learners.