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Around 70% of hiring managers say they struggle to find entry-level talent in robotics and automation. In this episode, I break down what it really takes to succeed in applied AI in 2026.

I cover the technical skills you need, from Python and cloud platforms to LLMs and vector databases. I explain how MLOps keeps AI running in real products, and why governance, compliance, and trust are just as important as coding. I also explore certifications, building a portfolio of real projects, and the soft skills that make your technical expertise count.

If you want to move from theory to production, this episode is your roadmap to becoming an applied AI specialist.

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