https://www.mindstick.com/blog/296815/a-step-by-step-guide-to-becoming-an-ai-expert
Experts claim artificial intelligence (AI) will shape the lives of people within the next ten years. Ultimately, AI can be a game changer in amplifying human effectiveness and remove mundane tasks.
“AI is going to change the world more than anything in the history of mankind. More than electricity.”— AI expert Dr. Kai-Fu Lee, 2018
Artificial intelligence is being used by almost all the major industries – from education to healthcare to retail and e-commerce, public relations (PR), small businesses, recruitment and services, and manufacturing.
Forward to 2030, AI is said to contribute USD 15 trillion to the world economy, source PwC.
As AI becomes the central force of transforming society, this technology is likely to pervade our lives in many ways.
But are you prepared to embrace the change?
Becoming an AI expert is indeed not a cakewalk.
Artificial intelligence is becoming a part of everyday life, and you’ve just gotten started.
Online learning platforms are some of the best ways to get started but you cannot simply become a master of AI without carving a plan. You might come across a plethora of online platforms offering different learning paths – despite the path you choose to ensure you have a blueprint embedded in your brain.
Still, confused?
We’ve got just the right formulae for you to get started.
You can dive right in and follow the step-by-step guide to yield a career and become one of the world’s outstanding AI engineers.
Let’s get started –
Step 0: Fundamentals of R and Python programming
Multiple programming languages implement different concepts, algorithmic flow structures, and paradigms, and so on. However, the goal is not about becoming a master in any specific language, but rather gain extensive expertise of such structure and concepts. Once these have been accomplished, it gets easier for you to pick up any programming languages you wish to learn.
Two major popular programming languages for AI are Python and R. But if you must pick from these two, let me say it is going to be tough. Both are open-source and they are free, developed in the 1900s. R works great for statistical analysis while Python is perfect as a general-purpose programming language. In short, R and Python are ideal for AI and machine learning aspirants.
