Hugging Face Courses and Certifications

Generative AI Engineering and Fine-Tuning Transformers

119 ratings at Coursera

Fine-tune large language models with Hugging Face and PyTorch: load and pretrain transformers, then apply PEFT, adapters, LoRA, QLoRA, quantization, and soft prompts.

• Coursera
• 2 weeks, 4 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

Master LangChain & Gen AI -Build #16 AI Apps HuggingFace LLM

1328 ratings at Udemy

Learn End to End LLM Generative AI (Gen AI) projects - Langchain - OpenAI, HuggingFace, LLAMA 2 Gemin models Langchain

• Udemy
• 10 hours 10 minutes
• Self-Paced
• Paid Course

Pretraining LLMs

22 ratings at Coursera

Pretrain an LLM from scratch or continue pretraining an existing model: build datasets from web text, package data for Hugging Face, configure training runs, and evaluate with benchmarks.

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

PyTorch: Techniques and Ecosystem Tools

20 ratings at Coursera

Optimize PyTorch models: tune hyperparameters with Optuna, profile training, augment images with TorchVision, and fine-tune Hugging Face models in efficient Lightning pipelines.

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

Vector Database Projects: AI Recommendation Systems

16 ratings at Coursera

Build two recommendation systems — food ordering and job search — using Chroma DB and Hugging Face NLP models to generate embeddings and run similarity searches.

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

Coursera Career Certificate

Open Generative AI: Build with Open Models and Tools

7 ratings at Coursera

Build end-to-end open generative AI systems: fine-tune LLMs and diffusion models with PEFT/QLoRA, benchmark performance, and deploy RAG apps using LangChain, FAISS, Docker, and FastAPI.

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

Packt

Foundations of AI, LLMs, and Development Environments

Build large language models with Hugging Face Transformers: set up Python and VS Code, study transformer architecture and self-attention, and call OpenAI models via API.

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

Career Certificate

Programming Generative AI

Build multimodal generative AI systems with PyTorch and Hugging Face: manipulate data, train neural networks, fine-tune large pre-trained models, and generate images from text.

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

Requirement Gathering and Analysis with GenAI Training

Capture and structure user requirements with GenAI tools, generating user stories, use cases and SRS documents in Notion AI and prioritizing feedback with Hugging Face Transformers.

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

Packt

Applied Generative AI & NLP with Python

Build NLP and generative AI applications in Python: GloVe embeddings, sentiment analysis, Hugging Face pipelines, fine-tuning, OpenAI API, prompt engineering, and a RAG chatbot.

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

Packt Career Certificate

Modern Natural Language Processing

Build NLP systems with deep learning and probability: text classification in TensorFlow, CNNs and RNNs for NER and POS tagging, Markov models, and Hugging Face Transformers.

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

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

Board Infinity Career Certificate

Machine Learning and Deep Learning for Software Engineers

Approach ML through an engineering lens: train models with Scikit-learn, TensorFlow and PyTorch, serve them via FastAPI and Docker, and run CI/CD, monitoring and retraining.

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

Programming Generative AI: Image and Language Models

Build generative models for images and text: image representation, CNNs, variational autoencoders, diffusion models with Hugging Face diffusers, NLP pipelines, and transformers in PyTorch.

• Coursera
• 8 hours 26 minutes
• Self-Paced
• Paid Course