The curriculum of the BS Artificial Intelligence program includes coursework in computing, mathematics, automated reasoning, computational modeling, machine learning, vision, artificial intelligence, case studies, knowledge representation, reasoning, artificial neural networks, and natural language processing.
Is AI Very Tough to Learn?
Learning AI is not an easy task, especially if you're not a programmer, but it's imperative to learn at least some AI. It can be done by all. Courses range from basic understanding to full-blown master's degrees in it. And all agree it can't be avoided.
Learning AI is difficult for many students, especially those who do not have a computer science or programming background. However, it may be well worth the effort required to learn it. The demand for AI professionals will likely increase as more and more companies start designing products that use AI.
This newly-introduced BTech in artificial intelligence course by IIT-H saw 60 out of 1,000 rankers opting for the course, which is a sign that students have realised the potential of AI as a career prospect.
The trend of students preferring Artificial Intelligence to Computer Science is a testimony to their informed career choices. Clearly, they have realised the scope and significance of AI.
The push by the Government of India towards emerging technologies and availability of ample career guidance platforms have raised the awareness level among students and triggered interest in such newer courses, said Rohit Manglik, CEO, EduGorilla in a conversation with AIM.
Whether it’s recommending shows on Netflix or used in the healthcare sector, artificial intelligence is slowly seeping into all avenues of our lives.
In fact, the global AI market is estimated to value $190.61 billion in 2025. At the moment, the expected restriction in the industry is a lack of experienced and trained staff.
What Makes AI Hard To Learn?
Is BS Artificial intelligence hard to learn? Yes, it can be, and it’s so hard that 93% of automation technologists themselves don’t feel sufficiently prepared for upcoming challenges in the world of smart machine technologies.
Companies face many challenges when implementing artificial intelligence. Among them, the top challenge is lack of staff skills, which is an issue faced by 56% of the companies. It’s understandable why most enterprises feel this way, considering AI is inherently complex. Some things that make it hard to learn include:
Extensive Programming:
AI requires intensive programming. You need to learn coding to program computers to make decisions for themselves.
Data Proficiency:
Machines need a lot of data to learn from to become proficient at a task. This can be difficult to obtain, especially if you’re starting out.
Complexity:
AI is complex and involves understanding a variety of fields such as computer science, statistics, calculus, and more.
Lack of Adequate Tools:
Most existing tools and processes in artificial intelligence were developed for traditional software. People entering the field often have to spend time and resources developing new tools, which can be difficult and time-consuming.
However, those statistics don’t mean that there aren’t any entry-level jobs in the field of AI and ML. There are many such job openings out there you can prepare for. Read more here!
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