How to Start a Career in Artificial Intelligence

Revolutions are accumulating in this 2023 between AI and Blockchain. That is why new jobs and professions are appearing. Some, like Prompt Engineers, I think will pass unnoticed as a fad. The value of the Prompt is immense, don’t get me wrong. A good prompt can save you many hours of work and increase the results of your AI, your best coworker, and that is priceless. But although many have rushed to put in their CVs that they are expert Prompts engineers, when you scratch a bit you see that there’s nothing much on it. I would rather bet on someone who puts on his CV that he has common sense.

Even so, I find it interesting to see where all this moves. For example, these folks at Blobr have created a way to hide your prompts and market them via the api. Interesting approximation. It is true that Prompts can become very complicated and can harbor many secrets. This formula seems interesting to me. Although there are many formulas to exploit this complexity, we will see how far this “Prompts marketplace” reaches. I would pay for a good Prompt, but I would pay more for a good data analyst.

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Blobr announce

In fact, I discovered them because they make it easy to turn any API into a GPT Chat plugin:

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What do I have to do to boost my career in AI?

Study to achieve the fundaments

The first step towards a career in AI is to develop a strong foundation in the underlying concepts. This includes gaining a thorough understanding of data analysis, natural language processing, neural networks, and machine learning. Check our courses at Belobaba Academy to know more.

I recomend you to start by creating a project related wit AI. Learning by doing is sometimes the best ways to learn, and in the Blockchain industry there is plenty of opportunities.

Choose a sector and a specialization

AI is a vast field with numerous sub-disciplines. It’s crucial to choose a specialization based on your interests, whether that’s computer vision, robotics, medicine, or finance. Specializing allows you to focus your learning efforts and gain in-depth knowledge in a specific area.

To become an expert in your chosen field, stay updated with the latest research publications, attend relevant conferences, and join AI groups. For instance, if you’re interested in computer vision, explore the OpenCV and TensorFlow libraries and participate in Kaggle competitions.

In my opinion, any combination with Blockchain technology is a good specialization.

In Cointelegraph, they created an interesting article about this issue if you want more info:

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Participate in projects and gain experience

In the competitive AI job market, a strong portfolio can set you apart from the crowd. Engage in personal projects, contribute to open-source projects, or participate in AI hackathons to showcase your skills. Document your process, create and deploy AI models, and highlight the impact of your work. This will demonstrate your ability to solve real-world problems and attract potential employers. For instance, you could develop a sentiment analysis model for social media data or create a chatbot using natural language processing techniques as we did in Subutai 😉

Your Github profile is your best CV.

And don’t forget to stay updated with the latest developments and trends. Follow renowned AI researchers, join forums, attend conferences, and engage in continuous learning. This will help you stay at the forefront of AI innovation, understand emerging technologies, and adapt to the changing landscape.

If you are interested in this field and I can help you, here we are.

Yours in crypto and AI