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louisfb01/README.md

Louis-Francois Bouchard

Training AI Engineers banner

CTO and co-founder @ Towards AI - creator of What's AI - ex-PhD @ Mila - author of Building LLMs for Production

YouTube - What's AI subscriber count Newsletter LinkedIn X Instagram Blog Building LLMs for Production book

Profile views GitHub followers YouTube subscriber countdown to 100K


About Me

Hi, I am Louis.

I build, teach, and explain practical AI engineering: LLM products, RAG, agents, evaluation, deployment, and the unglamorous reliability work that turns demos into systems people can actually use.

I am the CTO and co-founder of Towards AI, where we create AI engineering courses, run corporate training, and help teams ship useful AI products. Before going full-time on Towards AI, I was doing a PhD at Mila and Polytechnique Montreal.

I also create What's AI, a YouTube channel I have been building since 2020, write the newsletter, and co-authored the bestselling Building LLMs for Production. I speak about AI engineering at conferences and events including AIE and UpHill.

My bias is simple: start with the simplest system that can work, add agents only when autonomy is actually useful, and evaluate before real users do it for you.

Education & Towards AI

What I'm Up To?

Watch my most recent video: Loop Engineering Explained

Latest What's AI video: Loop Engineering Explained

Watch on YouTube

Where What I do there Best next step
What's AI My education home: YouTube videos and newsletter essays on LLMs, RAG, agents, evals, and production AI. I also co-authored Building LLMs for Production and plan to keep turning what I learn into deeper resources. Watch YouTube / Subscribe / Get the book
Towards AI Enterprise enablement, consulting, and hands-on training for professionals and teams becoming AI-first. Explore enterprise enablement
Towards AI Academy Structured courses and training for developers who want to become AI engineers and build production AI systems. Join the academy

What I Care About

  • Production-grade AI engineering over fragile demos.
  • Clear decision frameworks for LLMs, RAG, agents, workflows, and fine-tuning.
  • Evals, observability, structured outputs, and cost-aware system design.
  • Making AI accessible without making it shallow.

Watch What's AI on YouTube | Learn AI Engineering | Work with Towards AI

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