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This article focuses on practical resources for mastering modern large language models (LLMs), fine-tuning techniques, and agentic workflows rather than theoretical research or hardware infrastructure. It serves as a curated guide for professionals seeking to transition from traditional machine learning concepts to current generative AI applications in real-world scenarios.

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5 Free Courses to Learn Modern AI and LLMs

KDnuggetsAugust 7, 20267 min read

Learn how to use generative AI at work, build RAG and agentic apps, fine-tune models, work with the Hugging Face ecosystem, and prototype AI products with hands-on resources.

There are a lot of AI courses online, but not all of them teach modern AI. Some courses have only changed their title from "machine learning" to "AI," while the content is still mostly the same. But modern AI is different. Today, you need to understand large language models (LLMs), prompts, Transformers, fine-tuning, retrieval-augmented generation (RAG), AI agents, and how to actually use these tools in real work. The good thing is that you do not have to learn everything at once. Some people just want to use AI to save time at work. Some want to build apps with AI coding tools. Some want to understand how LLMs work under the hood. And some want to fine-tune, deploy, and evaluate their own models. That is why I created this list. In this article, I will share five…

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