Is AI 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.