#86 - Neural Maze: Guiding the Next Wave of AI Engineers | Miguel Otero Pedrido

The world of AI engineering is exploding. Every week, there’s a new framework, a new tool, a new breakthrough. For beginners and even mid-career engineers, it can feel overwhelming. Where do you even start?

In this episode of Let’s Talk AI, Miguel explains why hands-on learning beats passive theory, why systems thinking is the real skill every AI engineer needs, and why observability—understanding what’s happening inside your models and systems—is non-negotiable if you want to build responsibly.

For anyone looking to break into AI engineering, this episode offers a roadmap: stop chasing every trend, start focusing on systems, and above all…

Build, learn, and grow.

Top Insights:

• Neural Maze aims to help aspiring engineers navigate the overwhelming AI landscape.

• Building AI systems requires thinking in terms of systems, not just code.

• Observability is crucial for deploying AI systems in production.

• Learning by building projects is the most effective way to gain skills.

• Filo Agents project connects philosophy with gaming, showcasing innovative applications of AI.

• The value of code has shifted; engineers must adapt to new technologies.

• Miguel encourages staying out of the hype and focusing on building meaningful projects.

• He plans to expand Neural Maze into a community for self-contained courses.

Connect with Miguel Otero Pedrido

• Miguel Otero Pedirdo on LinkedIn

• Miguel Otero Pedrido on Substack

• Miguel Otero Pedrido on Medium.com

• Miguel Otero Pedrido on GitHub

• Miguel Otero Pedrido on X

• The Neural Maze on Substack

• The Neural Maze on YouTube

Connect with Thomas Bustos

• Thomas Bustos on LinkedIn

• Let’s Talk AI

• Let’s Talk AI on YouTube

• Let’s Talk AI on Spotify

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