For working professionals willing to pivot their careers to AI:

Here are the steps you can take right now:

1. Learn the basics of AI
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You need to understand the differences among various AI jargons (e.g., what is the difference between statistical ML vs. deep learning? What exactly is an LLM?) and when to use which to solve a given business problem. Many fast-paced courses can teach you all of this without having to learn coding. (Shameless plug: I have a course that I will add in the comments section below)

2. Build an AI project in your current work
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Find a problem statement in your current work that can be solved using AI and will deliver some value. Work on this during your extra hours, then showcase it to your management to get official approval to make it a full-fledged project.

3. Collaborate with the AI team in your company for inner sourcing
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Many companies have the concept of inner sourcing where, say, an AI team is too busy and has a list of tasks they have opened on their GitHub repository that others can work on. Use this as an opportunity to do some real AI work and build rapport with the AI team.

4. Attend AI conferences
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By attending AI conferences, you will not only learn but also build a network with AI professionals who will help you in your AI career journey.

5. Attend an AI bootcamp at a university or online learning company
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Artificial Intelligence

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