🦙 List of LLM Training and Courses (2025)

Important Note: Course availability and pricing can change, so always check the linked course page for the most up-to-date information. Many platforms offer free “audit” options or financial aid.

1️⃣ Comprehensive LLM & Generative AI Programs

These programs aim to give you a broad understanding, often covering foundations, prompt engineering, fine-tuning, and sometimes deployment.

• Generative AI with Large Language Models (DeepLearning.AI / AWS)
  Link | Covers transformers, scaling laws, fine-tuning, deployment.
  Platform: Coursera

• Generative AI Engineering with LLMs Specialization (IBM)
  Link | Prompt engineering, generative agents, deep learning.
  Platform: Coursera

• Full Stack LLM Bootcamp (Full Stack Deep Learning)
  Link | Lifecycle of building LLM apps from basics to deployment with projects.

• LLM University (Cohere)
  Link | Free hub covering transformer architecture, embeddings, prompt engineering.
  Platform: Cohere (Free)

• Large Language Models Course (Maxime Labonne - GitHub Roadmap)
  Link | Structured roadmap for LLM Scientist/Engineer tracks, RAG, fine-tuning.
  Platform: GitHub (Free)

• LLM Twin Course (Decoding ML - GitHub)
  Link | Building production AI assistants, RAG, fine-tuning, LLMOps best practices.
  Platform: GitHub (Free)

2️⃣ Prompt Engineering Courses

These focus on crafting effective prompts to guide LLMs.

• ChatGPT Prompt Engineering for Developers (DeepLearning.AI / OpenAI)
  Link | Core prompt engineering, zero-shot, few-shot, CoT prompting.

• Prompt Engineering for ChatGPT (Vanderbilt University)
  Link | Prompt design patterns, ReAct, persona injection.

• Advanced Prompt Engineering for Everyone (Vanderbilt University)
  Link | Advanced prompt construction, preference elicitation, RAG pipelines.

• Prompt Engineering with Vertex AI (Google Cloud Skills Boost)
  Link | Using Vertex AI for LLM applications, prompt templating, Cloud Functions.

• ChatGPT for Everyone (Learn Prompting)
  Link | Beginner-friendly, effective prompting, account setup.
  Platform: Learn Prompting (Free)

• Essentials of Prompt Engineering (AWS)
  Link | Basics of prompt engineering using AWS.
  Platform: Coursera

3️⃣ LLM Fine-tuning Courses

Learn how to adapt LLMs to specific tasks or datasets.

• Finetuning Large Language Models (DeepLearning.AI)
  Link | PEFT, LoRA, QLoRA, practical fine-tuning methods.

• Generative AI Advanced Fine-Tuning for LLMs (IBM)
  Link | Advanced fine-tuning, instruction tuning, DPO with Hugging Face.

• Fine-Tuning LLM Models - Generative AI Course (freeCodeCamp)
  Link | Practical LoRA, QLoRA, quantization on Llama2, Gemma.

4️⃣ LLMOps Courses

For deploying and managing LLMs in production.

• Large Language Model Operations (LLMOps) Specialization (Duke University)
  Link | Deployment, RAG, data pipelines, monitoring across platforms.

• LLMOps (DeepLearning.AI)
  Link | Full LLMOps pipeline: data prep, tuning, deploying, monitoring.

• LLMOps Masterclass 2025 (Udemy)
  Search on Udemy: “LLMOps Masterclass 2025 - Generative AI - MLOps - AIOps” | Focuses on GenAI, MLOps, AIOps, LLMOps, OpenAI, Hugging Face.

5️⃣ Foundational & Free Courses

Ideal for beginners reinforcing core concepts.

• Introduction to Large Language Models (Google Cloud)
  Link | Beginner-friendly, LLM capabilities, prompt engineering.

• Natural Language Processing Specialization (DeepLearning.AI)
  Link | Foundational NLP, transformer models.

• Hugging Face NLP Course
  Link | Hands-on transformers, fine-tuning, Hugging Face tools.

• Generative AI for Beginners (Microsoft)
  Link | 12-lesson curriculum on GenAI and LLMs.

• Stanford CS324: Large Language Models
  Link | In-depth course covering LLM architecture, scaling, ethics.

🚀 This list gives you a solid, organized pathway to level up your LLM skills in 2025.