Transfer Learning Courses and Certifications

Browser-based Models with TensorFlow.js

1011 ratings at Coursera

Train and run machine learning models in the browser with TensorFlow.js: classify handwritten digits, convert Python models to JSON, and retrain MobileNet on webcam gestures.

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

深度迁移学习在NLP当中的应用和实践

百分点在NLP领域服务了数百家政府和企业级客户。目前，深度迁移学习已经在NLP很多场景中得到了广泛的应用。

• XuetangX
• Self-Paced
• Free Online Course

Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

7135 ratings at Udemy

VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More in Tensorflow, Keras, and Python

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

PyTorch for Deep Learning Bootcamp

6343 ratings at Udemy

Learn PyTorch. Become a Deep Learning Engineer. Get Hired.

• Udemy
• 2 days 4 hours 13 minutes
• Self-Paced
• Paid Course

Deep Learning for Natural Language Processing

Implement feedforward networks, RNNs with LSTMs and GRUs, attention-based transformers and seq2seq models in Python, then apply transfer learning, pretrained models like BERT, and prompt engineering.

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

Deep Learning

36 ratings at Coursera

Learn how deep networks work and are trained: backpropagation, CNNs, RNNs and LSTMs, GANs and diffusion models, transformers, model compression, and transfer learning.

• Coursera
• 9 weeks, 6 hours a week
• Self-Paced
• Paid Course

MathWorks

Deep Learning for Object Detection

13 ratings at Coursera

Train and evaluate object detection models: retrain YOLO networks with transfer learning, score them with precision, recall and mean average precision, and fix labeling flaws.

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

Coursera

Facial Expression Recognition with PyTorch

61 ratings at Coursera

Train a pretrained CNN in PyTorch to classify seven facial expressions from 48x48 grayscale face images, applying image augmentation and writing train and evaluator functions.

• Coursera
• 1 hour 37 minutes
• Self-Paced
• Paid Course

EDUCBA

Deep Learning with TensorFlow: Build Neural Networks

22 ratings at Coursera

Build and train neural networks in TensorFlow: perceptrons, parameter initialization, CNNs for image data, dogs-vs-cats classification, and transfer learning with pre-trained models.

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

MathWorks

Introduction to Deep Learning for Computer Vision

20 ratings at Coursera

Train image classification models with no prior deep learning knowledge: retrain GoogLeNet and ResNet, visualize what networks look at, tune training options, and classify ASL letters.

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

Packt

Building and Training Neural Networks with PyTorch

15 ratings at Coursera

Build and train neural networks in PyTorch: image and audio CNNs, YOLO object detection, neural style transfer, transfer learning, and RNN/LSTM sequence models.

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

Whizlabs

NVIDIA: Fundamentals of Deep Learning

14 ratings at Coursera

Learn deep learning fundamentals: gradient descent, Perceptron training, forward and backward propagation, activation functions, multi-class classification on MNIST, CNNs, and transfer learning with pre-trained models.

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

Coursera

Pneumonia Classification using PyTorch

11 ratings at Coursera

Fine-tune a pretrained EfficientNet model in PyTorch on 5,600 chest X-ray images and write a simple trainer to classify scans as pneumonia or normal.

• Coursera
• 2 hours 25 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

AI Engineer Professional

7 ratings at Coursera

Build advanced AI systems: tune hyperparameters with cross-validation, design CNNs and RNNs, apply transformers and transfer learning, and deploy models with Docker and Kubernetes.

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