High-risk groups: Confessions of developers, hiding holes, confusion, and next steps

At the end of the day, the project is still unfinished.
Out of the building, to avoid thinking about anything, thinking of a sense of powerlessness, but the body wants to vent, want to spit chest yu, want to exercise to exhaustion.
I am doing development, want to switch to work as a force, a brand, 300 days a day knot. I don't know if anyone hired me.
I bag dumplings thief 6, want to go to the dumplings shop work, the best can be a foreman, the craft to small apprentice.

I just think about it.

Tell me about myself. Join the work to the present:
Prices have risen twice times, wages have risen 3 times times, house prices have risen 5 times times, and Bitcoin has risen 1000 times times. I am just 30 years old this year, the rapid programming, let me force myself to master one, learn another, focus on next.

I am busy every day, there are too many things in my life and in the workplace waiting for me to do. And more importantly, a thing called AI is waking up, and I find that all the skills I have in the future will become more and more outdated. One night I woke up in vain and felt as if I had overlooked a very important thing:

The ability of an all-stack developer is not enough to keep pace with the times. In the next two years, not having AI can not be called full stack.
I have tried to find books, online courses and training institutions. But the AI is too big, and some of the courses I don't know are the core skills of the developers, the methodology of the product manager, or even the business philosophy of the entrepreneur. Empty talk, not landing, speculation gimmicks, selling courses, to the AI learning path blurred to let me down.
But anyway, I began to teach myself.

First is mathematics, some people on the internet say that mathematics is the foundation, do not learn mathematics can not grasp the essence of deep learning. This is right, but not all of us need to master the essence to apply AI to specific problems.

For those who just want to use deep learning for specific problems, I recommend learning in combat. These people can not have too deep understanding of the mathematical principle behind the model, as long as the general know how to do, how to put their own problems into some classic problems can be. Huawei's 21-day transformation AI Course is an introduction to the principles and use of AI in combat, which can help you understand the actual combat. There are about three stages in the learning process, and the first stage needs to know what the AI is, what type of problem to solve, and where it can help; the second stage is the stage of self-discovery, finding the field where you want to apply AI, and using the knowledge you have learned to solve specific problems. The third stage takes experience to learn more systematic knowledge. Being promoted to AI talent is probably the most convenient way to access it. Huawei Ai Combat Camp, the application time is October 8-October 16, this 9 days free registration, limited to 2000 students, we can try.

Entry Channel:
Https://activity.huaweicloud.com/21days_ai/index.html?utm_source=wechat-shequn&utm_medium=sm

High-risk groups: Confessions of developers, hiding holes, confusion, and next steps