LLM Fine-Tuning Courses and Certifications

H2O.ai

H2O ai Large Language Models (LLMs) - Level 2

Prepare and validate LLM training data in LLM DataStudio, build QnA datasets, then fine-tune models with H2O LLM Studio using data augmentation, quantisation, and LoRA.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

Edureka

Fine-Tuning & Optimizing Large Language Models

Fine-tune pretrained LLMs with LoRA and adapters, engineer context windows, and optimize deployment through quantization, distillation, and monitoring using the Hugging Face Trainer API.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Fine-Tune & Optimize Generative AI Models

Tune decoding strategies (temperature, top-k, beam search), evaluate outputs with BLEU, ROUGE and BERTScore, and apply LoRA parameter-efficient fine-tuning using Hugging Face Transformers and PEFT.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Quick Start Guide to Large Language Models (LLMs): Unit 2

Fine-tune LLMs with OpenAI's APIs, apply advanced prompt engineering, build a recommendation engine on custom embeddings, and balance AI alignment against cost.

• Coursera
• 5 hours 24 minutes
• Self-Paced
• Paid Course

Board Infinity

Generative AI: Fine-Tuning LLMs and Diffusion Models

Fine-tune 7B+ LLMs with LoRA, QLoRA and SFT pipelines, dissect decoder-only transformers and KV caching, and generate controllable images with diffusers and ControlNet.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Coursera

Build & Adapt LLM Models with Confidence

Select LLM architectures like GPT, BERT and T5, fine-tune them with LoRA in Hugging Face Transformers, and deploy secure, monitored production systems with FAISS retrieval.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Edureka

Fine-Tuning Techniques for AI Models

Adapt pretrained models to specific tasks: clean and tokenize datasets, run supervised and instruction fine-tuning, evaluate with F1, BLEU, ROUGE and perplexity, and apply LoRA and PEFT.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Learn to fine-tune transformer and language models efficiently with LoRA, QLoRA, quantization, and Hugging Face libraries on consumer hardware.

• Codecademy
• 3 hours
• Self-Paced
• Free Trial Available

Edureka Career Certificate

LLM Engineering: Prompting, Fine-Tuning, Optimization & RAG

6 ratings at Coursera

Build production-ready LLM pipelines: design and evaluate prompts, run fine-tuning and optimization workflows, and implement retrieval-augmented generation with LangChain, Hugging Face, and LangGraph.

• Coursera
• 8 weeks, 6 hours a week
• Self-Paced
• Paid Course
• 3 courses

Mastering Generative AI: Advanced Fine-Tuning for LLMs

Build advanced, job-ready skills in fine-tuning using Hugging Face, reinforcement learning using proximal preference optimization (PPO), and optimal solutions for direct preference optimization (DPO).

• edX
• 2 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Mastering Generative AI: Fine-Tuning Transformers

Gain job-ready AI engineering skills for working with transformers, LLM frameworks, and GPT, and learn how to fine-tune models using Hugging Face and PyTorch.

• edX
• 2 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Packt

Building and Fine-Tuning LLM Applications

Build LLM applications: a PDF RAG system with text chunking, LangChain summarizers and voice assistants, plus LoRA/PEFT fine-tuning deployed as API services.

• Coursera
• 6 weeks, 1 hour a week
• Self-Paced
• Paid Course

Amazon Web Services;  Amazon

Customizing and Evaluating LLMs Using Amazon SageMaker JumpStart

Customize and evaluate large language models through SageMaker JumpStart, practicing RAG, PEFT fine-tuning, deployment, and model evaluation.

• AWS Skill Builder
• 4 hours
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Customizing and Evaluating LLMs Using Amazon SageMaker JumpStart (Simplified Chinese)

使用 Amazon SageMaker JumpStart 自定义、部署并评估大型语言模型，并实践提示词工程与 RAG 应用构建。

• AWS Skill Builder
• 4 hours
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Customizing and Evaluating LLMs Using Amazon SageMaker JumpStart (Indonesian)

Menyesuaikan dan mengevaluasi LLM di Amazon SageMaker JumpStart melalui prompt engineering, RAG, fine-tuning, deployment, dan metrik evaluasi.

• AWS Skill Builder
• 4 hours
• Self-Paced
• Free Certificate