Modern AI goes beyond traditional machine learning. LLMs, generative AI, RAG, AI agents, Transformers, and fine-tuning are now key skills. These five free courses offer different learning paths, from workplace AI basics to building and deploying real LLM applications.

Introduction to AI for Work by DataCamp is a simple starting point for beginners. The 2–3 hour course explains AI, machine learning, generative AI, and LLMs while showing how these tools can improve productivity, content creation, data analysis, and everyday work.

Easy-Vibe AI Coding Guide from Scratch focuses on building instead of learning only theory. It covers AI coding, product ideas, frontend and backend development, databases, deployment, knowledge bases, and agents. It is useful for beginners, creators, founders, and product managers.

LLM Course by Maxime Labonne offers a deeper technical path into large language models. Its learning tracks cover LLM fundamentals, research, and engineering, along with topics such as fine-tuning, quantization, evaluation, datasets, deployment, and LLM application development.

LLM Zoomcamp by DataTalks.Club is designed for hands-on learning. The course covers RAG, vector search, embeddings, AI agents, function calling, evaluation, monitoring, hybrid search, and reranking. It is a strong option for learners who already have some Python knowledge.

Hugging Face LLM Course teaches modern LLM development through the open-source ecosystem. Learners work with Transformers, Datasets, Tokenizers, Accelerate, and the Hugging Face Hub while exploring model use, fine-tuning, datasets, demos, and advanced LLM concepts.

The best course depends on the goal. Beginners can start with AI for Work, builders can try Easy-Vibe, technical learners can follow Labonne’s roadmap, while RAG and open-source AI learners can choose LLM Zoomcamp or Hugging Face. The key is to learn by building real projects.

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