Artificial Intelligence Certification Training in Singapore

 

The AI Career Landscape:

AI is getting even more traction lately because of recent innovations that have made headlines, Alexa’s unexpected laughing notwithstanding. But AI has been a sound career choice for a while now because of the growing adoption of the technology across industries and the need for trained professionals to do the jobs created by this growth. Pundits predict that AI will create close to 2.3 million jobs by 2020. However, it is also forecasted that this technology will wipe out over 1.7 million jobs, resulting in about half a million new jobs worldwide. Moreover, AI offers many unique and viable career opportunities. AI is used in almost every industry, from entertainment to transportation, yet we have a massive need for qualified, skilled professionals. AI and Machine Learning Explained

• If you’re new to the field, you might be wondering, just what is Artificial Intelligence then? AI is how we make intelligent machines. It’s software that learns similar to how humans learn, mimicking human learning so it can take over some of our jobs for us and do other jobs better and faster than we humans ever could.
• Machine learning is a subset of AI, so sometimes when we’re describing AI, we’re describing machine learning, which is the process by which AI learns.
• With machine learning, algorithms use a set of training data to enable computers to learn to do something they are not programmed to do. Machine learning provides us with technology to augment our human capabilities.
• AI has widespread benefits. Both people and companies benefit from AI. Consumers use AI daily to find their destinations using navigation and ride-sharing apps, as smart home devices or personal assistants, or for streaming services.
• Businesses can use AI to assess risk and define the opportunity, cut costs, and boost research and innovation.

The Three Main Stages of AI

• AI is rapidly evolving, which is one reason why a career in AI offers so much potential. As technology evolves, learning improves. Van Loon described the three stages of AI and machine learning development as follow:
• Stage one is machine learning - Machine learning consists of intelligent systems using algorithms to learn from experience.
• Stage two is machine intelligence - Which is where our current AI technology resides now. In this stage, machines learn from experience based on false algorithms. It is a more evolved form of machine learning, with improved cognitive abilities.
• Stage three is machine consciousness - This is when systems can do self-learning from experience without any external data. Siri is an example of machine consciousness.

In addition to the development of machine learning that leads to new capabilities, we have subsets within the domain of machine learning, each of which offers a potential area of specialization for those interested in a career in AI. How to Get Started in AI If you’re intrigued by this career field and wondering how to get started, Van Loon described the learning paths for three different types of professionals; those new to the field, programmers, and those already working in data science. He also points out that various industries require different skill sets, but all working in AI should have excellent communication skills before addressing the math and computing skills needed. For those new to the field, Van Loon suggested starting with mathematics and taking all kinds of courses in machine learning. Besides, someone wanting to move into AI should have strong computer skills as well as programming skills like C++ and an understanding of the algorithms. You should also supplement that education with general business knowledge. Most importantly, make sure any training you get is hands-on. If you’re already a programmer and you’d like to move into AI, you can go straight into the algorithms and start coding. No matter where you’re starting from, plan on continuing your education throughout your career. As Van Loon says, AI never stops learning, so you can’t stop learning either.