Become an LLM dev in 50 hours—learn, code, ship, and certify

Over the past 2 years, we’ve ( Towards AI ) helped teams create, iterate and improve RAG pipelines, slash hallucination rates, build PoCs, and get LLM demos into production.

At some point, we got tired of repeating the same advice on calls, Slack threads, and conference stages—so we turned everything (notes, meeting summaries, tutorials built...) into one end-to-end curriculum: Building LLMs for Production. Our (Towards AI) first book, and first-ever product!

When word got out (thanks to many friends sharing the book; Greg Coquillo , Aishwarya Srinivasan , Bojan Tunguz, Ph.D. and others), the DM-flood began:

“Is there a single place I can learn the whole stack without piecing together random tutorials?”

"Is the book updated? What about o3 now?"

"Can I use X instead?"

Some pain points we didn't fully address also kept popping up:

“How do I pick the right model for my use-case?”

“What’s the best way to go from notebook to a user-facing app?”

“How do I reduce hallucinations without blowing up costs?”

"How can I do X, Y, Z [insert new approach] that isn't covered in the book?"

Once I repeated the answers 10 times, I turned to the team, and we decided to ship a course.

The result is From Beginner → Advanced LLM Developer—a 60-hour, hands-on program that takes you from “I can prompt ChatGPT” to deploying a production-grade RAG system with a Gradio UI.

You’ll walk away with:

• A repeatble pipeline (prompting → RAG → fine-tuning → evaluation → deployment) you can use at work or in a startup.
• A certified, portfolio-ready LLM product—perfect for job interviews or internal promotions.
• Lifetime access & weekly updates so you stay current as the AI landscape shifts.
• Private Slack for graduates and a network of 70,000+ builders on Discord.

Real-world results:

“Great tutorial…builds concepts from the ground up.” — Victor Palomares

“Expanded my knowledge of RAG pipelines.” — Eoin McGrath

“The most comprehensive path I’ve seen for going from zero to shipping real LLM applications.” — Luca Tanieli

👉 See what past students are saying

And industry voices you know back us up:

“The most comprehensive textbook to date on building LLM applications.” — Jerry Liu , CEO LlamaIndex

And my favorite AI educator:

“Thorough explanations and code…very highly recommended!” — Luis Serrano , PhD, author of Grokking Machine Learning

This course is for you if:

• You know Python but haven’t taken an LLM past the notebook.
• You need a proven roadmap instead of random YouTube rabbit holes.
• You want long-lasting skills: reducing hallucinations, controlling cost, choosing the right tooling.
• You’d rather build than wait for a magic “AI engineer” hire.

Next live cohort kicks off 1 June with a live Q&A call with our CEO.

Launch price: $249 (75 % off)—zero risk thanks to a 30-day money-back guarantee.

👉 Join the course here

Course Outline

🧠 LLM Basics & Prompt Mastery

Grasp transformers, tokenization, and write prompts that cut hallucinations and boost accuracy.

🔍 Retrieval-Augmented Generation (RAG)

Build a working RAG pipeline—chunking, embeddings, re-ranking, and evaluation.

🎨 Fine-Tuning

LoRA, adapters, embedding models… on your own data so the model speaks your domain language.

🤖 Tool Integration

Wire models to external tools, functions, and APIs.

🚀 Deployment & Cost Control

Spin up a Gradio or Streamlit front-end, add caching and monitoring, and optimizations for production.

🏆 Capstone & Certification

Ship your own LLM app, get instructor feedback, and graduate with a portfolio-ready project.

👉 Secure your spot for the June 1st cohort

Let me know if you have any questions—I’m happy to help. DM me ( Louis-François Bouchard )—I’m always happy to talk LLMs, RAG, and career pivots like I did! :)