Key takeaways
- A weekend is enough to build a useful map of LLM development, but not enough to skip practice.
- Focus on prompts, APIs, context, retrieval, evals, and one small project instead of trying to learn every model.
- The goal is momentum: understand the workflow, build something small, then use the broken parts as the next lesson.
1.5 years ago, I left my PhD in AI to devote myself to “applied education”: switching from the research state into concrete tools that teams can actually use and deploy.
Today, I’m thrilled to announce that our first-ever fully video-based course, “10-Hour Primer: Building and Operating LLMs,” is now live!
That’s for all of you asking for more video content! :)
From prompt to advanced workflows and agents in one concise program — and you can already watch the first 2-hour Fundamentals session for free on the course website (it’ll land on YouTube soon).
Start watching here → https://academy.towardsai.net/courses/llm-primer?ref=1f9b29
Why this course?
Since 2023, I’ve helped devs and data scientists bridge the gap between academic papers and real-world applications. We’ve started with our first “8-hour conversion” course, and the feedback was clear:
- Everyone knows they need to use LLMs.
- Very few understand what that actually means.
- Even fewer have a framework for deciding what to build, when, and how.
“Well-structured and accessible; the learning process becomes incredibly smooth.” — Dan Duggan
“Impressed by its completeness and clarity; it covers the entire spectrum of LLM engineering.” — Carlo Casorzo
“The best course to learn the latest RAG techniques.” — Patrick Drechsler
But one thing remained, especially from our previous conversion offer…
“I want only videos.” — Some people (we offered to refund)
This is because our courses are focused on doing. Not watching.
Our longer programs span 60+ hours and go deep into building full-stack AI systems. But most people don’t need that depth right away. What they need first is a clear map of the terrain—a way to understand what matters, what doesn’t, and where they personally should begin.
This is where this new 10-hour curriculum came about.
What you’ll learn in 5 modules (10 h):
• LLM Fundamentals & AI 101 — understand transformers, their limits, and how to choose the right model.
• Building on LLMs — advanced prompting, RAG, fine-tuning, and rapid deployment.
• Evaluation — auto metrics + human-in-the-loop for quality & safety.
• Workflows & Agents — orchestrate reliable, cost-effective multi-step agents.
• Optimization & Monitoring — distillation, quantization, RLHF, and defenses against prompt-hacking.
🎁 Bonus: ready-to-use notebooks, lifetime access and updates.
Who is it for?
Developers, students, upcoming ML/AI engineers, product/tech leads, entrepreneurs…
Know Python? Even better, but it’s not mandatory!
We do have some Python code, but we walk you through them and mainly use them for demonstrations.
It’s the ideal offer if you’re preparing an enterprise GenAI integration, a side project, or a career pivot.
Get started now
👉 Enroll in the full course (10 h) at the launch price of $199.99: https://academy.towardsai.net/courses/llm-primer?ref=1f9b29
What learners are saying:
“Built from the ground up and geared toward real use cases.”
“The course greatly broadened my understanding of RAG pipelines.”
“Beyond the basics, it helps decide when and how to apply these technologies.”
“A clear roadmap for creating practical LLM apps.”
“An exceptional resource for mastering LLM development.”
“I learned a ton about deploying LLM apps.”
“Exactly what it promises—a fast‑paced, no‑fluff immersion that cuts through the hype and shows you how large‑language models actually work and where they belong in real products and workflows…What I valued most was the practical toolkit: prompt‑engineering best practices, RAG versus long‑context trade‑offs, vector database basics, fine‑tuning essentials, security and privacy[…].”
What else should you know?
- Fully video-based, self-paced
- Lifetime access + all future updates
- Private Discord with instructors + live Q&A
- Certificate of completion for your resume or LinkedIn
- Launch price: $199 (this will increase soon)
⚠️ Price Goes Up Soon
We’re soon adding a new 2-hour session on fine-tuning open models. If you enroll now, you’ll get it free—but the course price will increase once it’s live.
👉 Start Your First Video Lesson
Learn faster. Avoid dead ends. And finally, understand what to do with LLMs.
Questions? Happy to answer!
FAQ
Can you really learn LLMs in a weekend?
You can learn the practical map and build a first project, but mastery still comes from repeated building and debugging.
What should you focus on first?
Start with API use, prompting, context, retrieval basics, evaluation, and one project that forces real decisions.
What should weekend learners avoid?
Avoid collecting too many resources. Pick one project and let the failure points guide what you study next.
What is the useful lesson from Master LLMs in a Weekend?
A compact path for learning practical LLM development basics over a weekend, with enough structure to start building.
What makes master LLMs in a Weekend reliable beyond a demo?
Since 2023, I’ve helped devs and data scientists bridge the gap between academic papers and real-world applications.
What is the easy mistake with master LLMs in a Weekend?
The main risk is mistaking a demo for a system. Without state, evals, and clear boundaries, the agent can look useful while quietly failing.
How should builders use master LLMs in a Weekend?
We've started with our first "8-hour conversion" course, and the feedback was clear: - Everyone knows they need to use LLMs. - Very few understand what that actually means.
When does master LLMs in a Weekend become useful in practice?
What they need first is a clear map of the terrain, a way to understand what matters, what doesn’t, and where they personally should begin.
What should beginners understand about master LLMs in a Weekend?
“I want only videos.”, Some people (we offered to refund) This is because our courses are focused on doing.
What is the common mistake with master LLMs in a Weekend?
We do have some Python code, but we walk you through them and mainly use them for demonstrations.