🔥 5 Free Courses to Go From LLM Beginner to Practitioner

Want to go from LLM beginner → understanding → building → fine-tuning → deploying AI agents?
Here are 5 free courses to follow 👇

1️⃣ Neural Networks: Zero to Hero — Andrej Karpathy
Learn neural networks and language models from scratch. Build micrograd, language models, GPT, and tokenizers with hands-on coding.
🔗 Course: https://karpathy.ai/zero-to-hero.html

2️⃣ Full Stack LLM Bootcamp — Full Stack Deep Learning
Learn how to build production-ready LLM applications, including prompting, evaluation, LLMOps, deployment, and system design.
🔗 Course: https://fullstackdeeplearning.com/llm-bootcamp/

3️⃣ Stanford CS336 — Language Modeling from Scratch
Go deeper into how LLMs are actually built — data processing, tokenization, transformers, training, scaling, evaluation, and alignment.
🔗 Course: https://cs336.stanford.edu/

4️⃣ Hugging Face LLM Course
Learn practical LLM development with Transformers, Datasets, tokenization, fine-tuning, LoRA, SFT, DPO, and GRPO.
🔗 Course: https://huggingface.co/learn/llm-course

5️⃣ DeepLearning.AI — AI & LLM Short Courses
Learn practical topics like AI agents, LangGraph, RAG, model serving, and production AI workflows.
🔗 Courses: https://www.deeplearning.ai/courses/

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