RSS Amplifier

Learn AI Together · Aug 5, 2026

I just opened access to our entire engineering team

0
Sign in to vote or save

Towards AI, Louis-François Bouchard · Learn AI Together

Good morning, AI enthusiasts!

When I first moved away from academia, I had a fairly glamorous picture of engineering in my head. Three monitors. Beautiful code. Blackout curtains. Hours spent quietly building.

AI engineering cured me of that fantasy very quickly. Especially since ChatGPT and now even more powerful agentic systems to help us at each step.

Most of the job isn’t writing code. It’s making decisions. Which model fits the constraints? Do we need retrieval? How should we evaluate this? Is the problem in the data, the pipeline, the prompt, or the model? One decision after another, each one changing the one that follows.

You can get surprisingly many of them wrong and still build an impressive demo. You just can’t build something people should rely on.

We’re launching something that makes these decisions less of a solo adventure, more reliable, and honestly more fun, with the right team behind you.

It’s called Towards AI Mentorship. Our engineering team- Omar, Fabio, Samridhi, Louie, and 11 more engineers- on call for your questions.

See what’s inside →

The biggest thing: you stop making production calls alone. You post a question- architecture, deployment, eval strategy, career- and an engineer who’s shipped that system writes you back. Not when they happen to be online. As their job. That shift, knowing someone will actually answer, changes how you approach every decision.

Then there are the production blueprints, and this is the part I’m quite excited about. Every month, we hand over best practices from our deployment work, or something we’ve actually built for clients, with the judgment calls behind every decision. The first one is mine: my current setup and our team’s best practices for working with agents as engineers. The same setup we use daily. You adapt it in your repo, and it becomes a portfolio project built on real engineering thinking, not a tutorial you followed.

Live Q&A runs twice a week across two time zones, so you’ll always find a session that works.

Resume and portfolio reviews come back in 48–72 hours with written feedback from people who’ve been on the hiring side.

Python for LLMs and LLM Fundamentals are included from day one, 25% off everything else, and early access to courses we’re still building.

You know the people behind this. You’ve seen Omar run workshops. You’ve read Fabio’s newsletter. You’ve watched Samridhi present her AI scribe work. They’ve been answering questions in our channels for years; the difference now is that it’s structured and every question gets a response.

I’ll be honest, we just launched this. We’re going to learn as we go and get better every month. That’s how we built the courses, and I think they turned out all right. The people who join first will genuinely shape what this becomes.

I’d love for that to be you.

Join for $99/month →

$899/year saves 24% · 30-day money-back on yearly · cancel monthly anytime

Read the original on learnaitogethernewsletter.substack.com

Comments

Nothing yet. Say the first thing.

    Sign in to join the conversation.