Fine-Tuning Courses and Certifications

HuggingFace

Hugging Face Course - Data Processing and Fine-tuning Techniques - Chapter 7

Master data processing techniques for NLP tasks including token classification, language modeling, translation, summarization, and question answering with Hugging Face.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Data Science: Transformers for Natural Language Processing

3035 ratings at Udemy

ChatGPT, GPT-4, BERT, Deep Learning, Machine Learning & NLP with Hugging Face, Attention in Python, Tensorflow, PyTorch

• Udemy
• 19 hours 6 minutes
• Self-Paced
• Paid Course

Natural Language Processing: NLP With Transformers in Python

2820 ratings at Udemy

Learn next-generation NLP with transformers for sentiment analysis, Q&A, similarity search, NER, and more

• Udemy
• 11 hours 31 minutes
• Self-Paced
• Paid Course

Coursera

Fine Tune BERT for Text Classification with TensorFlow

212 ratings at Coursera

Fine-tune a BERT model for text classification: tokenize and preprocess data, build tf.data input pipelines, then train and evaluate with TensorFlow 2 and TensorFlow Hub.

• Coursera
• 2 hours 51 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Deep Learning Engineering

Debug, optimize, and deploy deep learning systems at production scale using TensorBoard diagnostics, PyTorch acceleration, transformer fine-tuning, efficient data pipelines, GPU clusters, and containers.

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

Coursera Career Certificate

Multimodal Intelligence - Vision, Audio & Language in Action

Build production multimodal AI: preprocess image, audio and text data, fine-tune transformer models in PyTorch, run bias audits, and deploy REST inference services on Kubernetes.

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

Edureka

Neural Models and Machine Translation

Build, fine-tune, and evaluate neural NLP systems: RNNs, LSTMs, transformers, encoder-decoder translation with BERT and MarianMT, chatbots, and BLEU/ROUGE scoring.

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

Introduction to Transformer Models for NLP: Building NLP Solutions

Fine-tune BERT for sequence classification, token classification and question answering, and use GPT for text generation, semantic search with Siamese BERT, and prompt-based multi-task learning.

• Coursera
• 8 hours 57 minutes
• Self-Paced
• Paid Course

Coursera

Fine-tune Multimodal Models with Transfer Learning

Build transformer-based multimodal models that fuse text and image processing in PyTorch and TensorFlow, using transfer learning and fine-tuning strategies on custom datasets.

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

Generative AI for NLP with PyTorch Capstone Project

Build an end-to-end text classification workflow in PyTorch: tokenization, vocabulary and DataLoaders, RNN versus LSTM training, and fine-tuning pretrained Hugging Face transformers.

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

Introduction to Transformer Models for NLP: Deploying Modern Models

Fine-tune T5 for abstractive summarization, build an image captioning system with Vision Transformers, and deploy and share models via MLOps, HuggingFace, and FastAPI.

• Coursera
• 4 hours 52 minutes
• Self-Paced
• Paid Course

Coursera

NLP: Fine-Tune & Preprocess Text

Fine-tune pre-trained BERT models for specialized domains with Hugging Face Trainer, and build spaCy pipelines that tokenize, normalize, and encode raw text.

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

Board Infinity

Transformers in Action: A Practical Approach to NLP and AI

Fine-tune and deploy Transformer models for NLP: tokenization, self-attention, BERT, GPT and T5 pretraining, plus Hugging Face pipelines, Trainer API, and Hub deployment.

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

Packt

Foundations of Transformer Architectures for Natural Language Processing

Learn how transformer models work: self-attention, multi-head attention, positional encoding, SuperGLUE benchmarks, translation with BLEU scores, plus fine-tuning BERT and pretraining RoBERTa via Hugging Face.

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

HuggingFace

Building AI Apps with Hugging Face Spaces and Gradio

A model stuck in a notebook is a model nobody uses: fine-tune with the Trainer API, build Gradio interfaces and chatbots, and deploy to Hugging Face Spaces.

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