Holiday Special: Two courses for $349 instead of $548!

Buy the 60-hour Full Stack AI Engineering course and get the 10-hour LLM Primer for free! 

Holiday Bundle: Fundamentals → Shipped Product

Our most loved courses, together. Learn the mental models fast in the 10-hour Primer, then turn them into a real, production-style build in AI Engineering.

  • Start with clarity (10-hour LLM Primer)

    Worth $200 (Now for FREE)

    The “why” behind LLM systems, in one focused sprint. You’ll learn how LLM apps actually work, what can go wrong, and how to choose the right approach for a task. Instead of collecting random tips, you build decision frameworks for prompting, RAG, evaluation, and tool/agent workflows, so you can explain your choices and not just copy patterns.

  • Then turn it into implementation (AI Engineering course)

    Worth $349 right now (discounted from $1000)

    The “how” that gets you from idea to a working app. You’ll take those frameworks and build end-to-end: structure your data, design the workflow, implement retrieval, add evaluation and iteration loops, layer tools/agents where they genuinely help, and deploy a complete project you can demo. This is where you get reps, not just understanding.

  • Why now, and what you walk away with

    Offer valid until 2nd January, 2026.

    The market moved from “prompting” to “building systems.” This bundle matches that shift. Teams are hiring for people who can ship reliable LLM features, not just write clever prompts. The end goal here is simple and ambitious: take an LLM idea from first principles to a production-ready product you can scale into an internal tool or standalone app.

10-Hour LLM Fundamentals + Full Stack AI Engineering Course

How these courses work together

10-HOUR LLM FUNDAMENTALS
FULL STACK AI ENGINEERING
Start working with leading AI models like OpenAI, Gemini, and Claude
Build advanced products and pipelines on top of them
Adopt customization, databases, retrieval, frameworks, fine-tuning, evaluations, and more into your daily workflows
Production-ready code-based implementation of RAG, Fine-Tuning, Agents, Tools
Five 2-hour sessions to teach you how to move from a basic prompt to a full production rollout
Master by building an advanced AI Project

Find more information on the courses here!

FAQ

  • What exactly is included in the holiday bundle?

    You get Beginner to Advanced LLM Developer, plus the 10-hour LLM Primer included for free with your purchase.

  • Will I get a certificate upon completion?

    Yes, you will receive a Towards AI certificate upon completion.

  • Do I need to be an expert to start?

    No. The Primer is designed to ramp you quickly on core concepts, and the main course takes you from beginner-friendly foundations into advanced implementation. If you’re comfortable with basic coding and willing to build, you’re in the right place.

  • When were these courses created? Is it still up to date?

    The courses were originally launched in 2025, but we update them every single week with new lessons, tools, and techniques as the AI landscape evolves. You’re not just buying a static course—you’re getting a living resource designed to keep you ahead.

  • Do you have a referral or affiliate program?

    For every referral you provide, you’ll gain access to our exclusive eBook. If you refer three or more people, we’ll send you a physical copy of our book as a thank you! Additionally, we have an affiliate program for individuals with an audience. By joining, you can earn commissions for every successful referral made through your unique affiliate link. Please email Louis-François at [email protected] with proof of referral.

  • Can I take this course within my company?

    Yes! We offer both course bundles and custom training solutions tailored specifically for companies. For more information on company packages or to discuss a customized training plan, reach out to Louis at [email protected].

  • How long is this bundle valid?

    The holiday bundle is a limited-time offer. It ends on 2nd January, 2026. After that, the free add-on is removed.