Description
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
Connect with Thomas Bustos
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