Transfer Learning Courses and Certifications

Packt Career Certificate

Deep Learning with Real-World Projects

7 ratings at Coursera

Build, train, and deploy neural networks with TensorFlow and Keras, moving from perceptrons and backpropagation to CNNs, recurrent networks, and transfer learning for medical and natural image projects.

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

Career Certificate

Introduction to Transformer Models for NLP

6 ratings at Coursera

Build and optimize NLP models with transformer architectures such as BERT, GPT, and T5, working through attention mechanisms, transfer learning, and fine-tuning in coding exercises.

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

Introduction to Neural Networks and Deep Learning with Python

Build practical deep learning skills for Python-savvy professionals. Learn how neural networks are structured, trained, and evaluated—and how choices like architecture, regularization, and learning ra

• edX
• 8 weeks, 3-5 hours a week
• Self-Paced
• Free Online Course (Audit)

Machine Learning with Small Data Part 1

Learn deep learning techniques for data-scarce settings: transfer learning, domain adaptation with DDC and DANNs, weak supervision, zero-shot learning, and few-shot Matching Networks.

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

Introduction to Transformer Models for NLP: Foundations

Trace NLP from attention mechanisms to transformer architectures: study scaled dot product and multi-headed attention, then fine-tune pre-trained BERT and GPT models in PyTorch.

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

Packt

Advanced Machine Learning and Deep Learning

Build deep learning models for multi-target regression, classification, CNNs, autoencoders, transfer learning, and LSTM time-series prediction, then deploy interactive Shiny web applications.

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

Packt

Deep Learning, NLP, and AI Applications

Build deep learning models with TensorFlow, Keras, and PyTorch: train CNNs for image classification, RNNs for sequence tasks, and transformers like BERT and GPT for summarization and translation.

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

Packt

Deep Learning: Convolutional Neural Networks with TensorFlow

Build convolutional neural networks in TensorFlow and Keras: train on Fashion MNIST and CIFAR-10, apply data augmentation and batch normalization, classify text, and transfer VGG and ResNet.

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

Packt

Machine Learning – Modern Computer Vision & Generative AI

Fine-tune image classifiers and object detectors with pre-trained models and KerasCV, handle COCO and Pascal VOC datasets, and generate images with Stable Diffusion.

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

Whizlabs

Fundamentals of Deep Learning

Train and evaluate neural networks: forward and backward propagation, gradient descent, activation functions, MNIST multi-class classification, convolutional networks, and transfer learning on image datasets.

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

Packt

Deep Learning with Keras and Practical Applications

Build deep learning models with Keras: multiclass wine quality classification, CNN flower image classification, image augmentation, and transfer learning with VGG16, VGG19, and ResNet50.

• Coursera
• 9 hours 44 minutes
• Self-Paced
• Paid Course

Coursera

Deep Learning and Modern AI Architectures

Build and evaluate CNNs such as LeNet, VGG, and ResNet, fine-tune pre-trained models with transfer learning, and compare RNNs, LSTMs, transformers, autoencoders, VAEs, and GANs.

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

Coursera

Deep Learn Imagery

Fine-tune a pre-trained CNN for land cover classification from satellite imagery, design data augmentation pipelines, and use Grad-CAM to interpret and explain model predictions.

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

Packt

Deep Learning & Modern AI Architectures

Build CNNs, RNNs, and Transformers with TensorFlow, Keras, and PyTorch: classify CIFAR-10 images, generate text, and fine-tune pre-trained BERT and GPT models.

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

Coursera Career Certificate

Pixels, Waveforms & Words: Engineering Multimodal AI Systems

Build production multimodal AI systems: preprocess image and audio data, debug neural network training, fine-tune transformers, design fusion architectures, and build cross-modal retrieval with PyTorch and FAISS.

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