If you are looking for ways to advance in your career, especially in the field of artificial intelligence, this article may interest you. A few days ago, Google launched its “Ai Essentials” course, a 9 -hour formation that promises to teach you Practical skills in tools of generative AIthe responsible use of AI, and how to keep up with this technology in constant evolution.
But, best of all, Coursera has taken advantage of this launch to talk to Anoop SinhaIA research director on Google, and has shared some of its key advice to succeed in the world of AI. Here is a summary of the most interesting.
1. Learning never stops
One of the first things Anoop stood out is that the Continuous learning It is essential for any race, especially in technology. And this not only means getting a title and now. In fact, although he values his formal education (he has a doctorate in computer science), he is also very proactive with small projects They keep it up to date. From writing scripts with Language models (like those you find in ChatgPT) until experiencing with new AI tools.
This reminds me of a common situation: you finish a course, you feel prepared and then, at work, you realize that there are a lot of new things that did not teach you. Has it happened to you? The key, according to Anoop, is to always be learning and adapting, even outside the academic environments. In my opinion, this is what really allows you to stay competitive in a market as changing as the current one.
2. Communication skills are as important as techniques
Anoop also shared something that we often overlook: the importance of Communication skills. Of course, we all know that we need to know how to program, understand algorithms or handle large volumes of data. But did you know that the ability to explain those concepts to others is equally important?
He himself was surprised to realize how much he depended on his skills to present, speak and write During his career. And if you think about it, it makes sense. You can be the best technician in the world, but if you cannot communicate your ideas clearly and effectively, you will hardly achieve the impact you want. Whom WWWhatsnew.comwe have spoken on many occasions about how the ability to Explain complex concepts in a simple way It is essential, both to advance in your career and to stand out in a collaborative environment.
3. Show your experience from the beginning
One of Anopop's most useful recommendations is to start building a Project portfolio From the beginning of your career. “Work is more about projects than on classes,” he says. And he is right. Classes give you the base, but it is in the projects where you really develop your skills.
Think about this: Have you ever had to demonstrate what you know how to do, but you stayed alone with the support of your titles? Instead, if you can show concrete projects in which you have worked, it is much more likely that impressions to the recruiters or possible collaborators. This applies not only to AI, but to virtually any field. So do not hesitate to embark on small (or large) projects, either on your own or in collaboration with others.
How to start your path in AI?
If after reading these tips you feel inspired, but you don't know where to start, don't worry. Anoop began his career as a simple Software Engineering Internalhe achieved a professional certification at the beginning of his career, and then accumulated experience working with several data analysis tools. Over time, he got his doctorate, but his journey was not something that happened overnight.
If you are starting, an excellent way to take the first step is with the Google IT Support Professional Certificate exploring degrees in computer science. These will give you a solid base and then immerse yourself in the world of the artificial intelligence and all its applications.
If something has made clear the conversation with Anoop Sinha is that to advance in your career, especially in technology, you need to continue learning, improve your communication skills and always have something to show. These three tips are not only relevant to AI, but for virtually any field in which you want to stand out.