LLM Fine-Tuning Courses and Certifications

Amazon Web Services;  Amazon

Personnalisation et évaluation des LLM à l'aide d'Amazon SageMaker JumpStart (Français) | Customizing and Evaluating LLMs Using Amazon SageMaker JumpStart (French)

Personnalisez et évaluez des grands modèles de langage avec Amazon SageMaker JumpStart, en combinant RAG, ajustement, déploiement et métriques d’évaluation.

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

Amazon Web Services;  Amazon

Customizing and Evaluating LLMs Using Amazon SageMaker JumpStart (Japanese)

Amazon SageMaker JumpStartでLLMをRAG、ファインチューニング、評価まで実践的に扱う上級コース。

• AWS Skill Builder
• 15 minutes
• Self-Paced
• Free Certificate

Foundations of Local Large Language models

20 ratings at Coursera

Run large language models on your own machine: set up local environments, query them through web UIs and APIs, add RAG, fine-tune Mistral-7b, and deploy.

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

Coursera Career Certificate

Harnessing LLMs: Strategy, Fine-Tuning & Evaluation

100 ratings at Coursera

Evaluate LLM business opportunities, select models with Hugging Face, fine-tune them for specific tasks, apply RAG patterns, evaluate outputs, and deploy production chatbots and apps.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 9 courses

Building Gen AI App 12+ Hands-on Projects with Gemini Pro

1473 ratings at Udemy

Mastering AI Innovation: Building and Fine-tuning Generative AI Applications with Google Gemini Models And Langchain

• Udemy
• 15 hours 49 minutes
• Self-Paced
• Paid Course

Generative AI:Beginner to Pro with OpenAI & Azure OpenAI

1448 ratings at Udemy

Gen-AI Basics, OpenAI, AI Search, RAG, Fine Tuning, Tools, LangChain , AI Foundry ,AI Agents , MCP, Semantic Kernel

• Udemy
• 16 hours 44 minutes
• Self-Paced
• Paid Course

Edureka

Generative AI Architecture and Application Development

15 ratings at Coursera

Build LLM-powered applications: pre-train and fine-tune large language models, develop with LangChain, add retrieval-augmented generation over vector stores, and evaluate with perplexity and BLEU.

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

Packt

LLM Engineer’s Handbook

1 rating

Build a production LLM Twin system: ETL pipelines into MongoDB, RAG feature and inference pipelines, supervised fine-tuning, DPO alignment, evaluation, and AWS SageMaker deployment.

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

Packt

Decoding Large Language Models

1 rating

Learn how LLMs work and how to ship them: transformer architecture, training and hyperparameter tuning, LoRA and PEFT fine-tuning, evaluation, quantization, pruning, and production deployment.

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

LLM Mastery: ChatGPT, Gemini, Claude, Llama, OpenAI & APIs

1307 ratings at Udemy

Basics to AI-Agents: OpenAI API, Gemini API, Open-source LLMs, GPT-5, RAG, LangChain Apps, Colab and Prompt Engineering

• Udemy
• 19 hours 56 minutes
• Self-Paced
• Paid Course

Snowflake

Introduction to Generative AI with Snowflake

51 ratings at Coursera

Build generative AI applications on Snowflake: use Cortex LLM functions for summarization, translation and sentiment analysis, engineer prompts, and fine-tune Mistral-7b with Streamlit front ends.

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

Amazon Bedrock Customization, Optimization & Automation

40 ratings at Coursera

Customize foundation models on Amazon Bedrock: fine-tune with labeled data, continue pretraining, distill models, run Evaluation Jobs, and apply prompt caching, routing, and Bedrock Data Automation.

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

Reinforcement Learning from Human Feedback

37 ratings at Coursera

Fine-tune Llama 2 with RLHF: work with preference and prompt datasets, run Google Cloud Pipeline Components, and compare loss curves and Side-by-Side evaluations.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Free Online Course

Generative AI for Data Science

29 ratings at Coursera

Apply generative AI across data science workflows: run and fine-tune local LLMs with LoRA and quantization, automate SMS campaign feature engineering, and address privacy and bias.

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

Career Certificate

LLM Application Engineering and Development Certification

28 ratings at Coursera

Build LLM applications with LangChain: design chains, memory, and agents, add embeddings and semantic retrieval, fine-tune with PEFT and RLHF, and evaluate with ROUGE and GLUE.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses