Fine‑Tuning & Reinforcement Learning for LLMs: AMD and DeepLearning.AI

Oct 30, 2025

Fine‑Tuning and Reinforcement Learning for LLMs

TL;DR: AMD and DeepLearning.AI are launching a hands‑on course that puts post‑training, fine‑tuning and reinforcement learning, into every developer’s toolkit.

AMD and DeepLearning.AI are launching a practical path to post‑training

Together with DeepLearning.AI, AMD is launching an exciting AI education collaboration to educate developers on important foundational AI topics,  with the resources to get hands-on, powered by a large Developer Cloud of AMD Instinct™ GPUs.

The first course is Fine‑Tuning & Reinforcement Learning for LLMs: Intro to Post-Training. This course teaches developers to steer LLMs with fine‑tuning and reinforcement learning (RL). These techniques have made LLMs capable of chatting fluently and have aligned assistants with what you want: safe conversations, reasoning, agentic tool use and more.

The goal of this course is to make it possible for every developer to learn the intuition and core technical pieces of post-training, without needing to work at a frontier AI lab or requiring huge financial resources to get started. 

What you’ll learn

  • Where post‑training fits. How it relates to pre-training and agents. How to use it to improve reasoning, reduce hallucinations with tool use (like search), and add safer refusals.
  • Intuition first. The mental models that make the math click.
  • Evaluation + data. Let evals drive decisions: what to fix in data vs. when to change algorithms. 
  • Operating in production. What to watch in behavior, how to turn logs into the next training round, and the infra touchpoints that make it work.
  • Hands‑on labs - supported by AMD GPUs. Compare base vs. fine‑tuned vs. RL‑trained models, build fine‑tuning pipelines, write rewards, and turn logs into a feedback flywheel.

Enroll

Fine‑Tuning & Reinforcement Learning for LLMs: Intro to Post‑Training, available now.

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