Technology is all around us today, with the business ecosystem trying to come up with better ones every day. Over the years, we have witnessed the emergence of advanced technologies like AI and ML that have changed our perception of lots of things. Each and every business is using these technologies in one form or the other form in order to achieve process optimization and business growth. This has greatly impacted the ecosystem of engineering education that is currently trying to evolve in accordance with the change in technologies.

Speaking about artificial intelligence and machine learning, these two technologies have made educators reimagine almost all engineering degrees. Parts or whole of them are being included in each of them in order to provide the education that aligns with the industry. Considering the number of applications of AI and ML, it has become very important that new generation engineers are skilled in them. A number of aspects can be highlighted in order to make one understand how these technologies have impacted engineering studies. Through this article, we will try to explore them in a detailed manner.

Inclusion in Courses

It can be mechanical, electrical, or electronics systems of high value, all are making use of AI and ML technologies for the purpose of performance improvement. This is the reason why it has become very important to include the artificial intelligence course with all these engineering degrees. If we take the example of electronics engineering, it has been heavily influenced by AI technologies. We have observed the innovation of embedded systems with the integration of AI software in order to make the products more user-friendly and receptive.  Similarly, AI and ML have ensured similar improvements for other core technology systems and have made their way to these degrees as well.

Standalone Degree

As a separate segment of technology, artificial intelligence and machine learning have grown quite big and require a course to be taught to candidates. This is the primary reason why many top engineering colleges in the country have started offering B tech in AI and ML in order to provide students with a fair idea about these two technologies. They have collaborated with reputed IT organizations in order to gain information regarding the latest applications of AI and ML in businesses and the kind of skills that are required in modern-day candidates. On the basis of this information, they are creating a curriculum that is able to provide industry-oriented education.

Increased scope for research

We can see that improved applications of AI and ML technologies are being innovated by means of extensive research. This responsibility is being shared by the education ecosystem through the establishment of advanced research facilities for interested candidates. There are many candidates who want to build a career in AI research and go for the artificial intelligence course in pursuit of that. After completion of B tech, they are going for higher education degrees and finally a PhD in order to achieve their career goals. It has become the duty of the educators to have all the required facilities that can help students achieve the same.  

To Conclude

After checking out the factors that have been discussed above, it will be very easy for one to understand how these technologies have impacted the scenario for engineering studies. All the reputed institutions are aware of it and are trying their best to provide the best quality learning to all candidates. Considering the developments taking place in this segment, it can be stated that in the coming days, the nature of education is going to further change.