Transfer Learning Courses and Certifications

Google TechTalks

Differentially Private Prototypes for Imbalanced Transfer Learning

Explore a novel approach to private machine learning that uses differentially private prototypes for transfer learning on imbalanced datasets with strong privacy guarantees.

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

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

Natural Language Processing on Google Cloud

540 ratings at Coursera

Explore NLP on Google Cloud: from APIs to advanced models. Learn AutoML, custom training, and end-to-end workflows using Vertex AI and TensorFlow. Covers text representation, neural networks, and state-of-the-art techniques.

• Coursera
• 8 hours 55 minutes
• Self-Paced
• Paid Course

Advanced Computer Vision with TensorFlow

533 ratings at Coursera

Explore advanced computer vision techniques using TensorFlow, including image classification, segmentation, object detection, and model interpretation methods for building powerful ML models.

• Coursera
• 19 hours 1 minute
• Self-Paced
• Paid Course

Advanced Deployment Scenarios with TensorFlow

512 ratings at Coursera

Explore advanced deployment scenarios using TensorFlow Serving, TensorFlow Hub, TensorBoard, and federated learning to effectively bring machine learning models into real-world applications.

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

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

7016 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

A deep understanding of deep learning (with Python intro)

6254 ratings at Udemy

Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.

• Udemy
• 2 days 9 hours 19 minutes
• Self-Paced
• Paid Course

PyTorch for Deep Learning Bootcamp

5942 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 and Reinforcement Learning

294 ratings at Coursera

Explore neural networks, deep learning architectures, and reinforcement learning. Gain hands-on practice with Keras, CNNs, transfer learning, RNNs, autoencoders, and generative models for AI applications.

• Coursera
• 1 day 7 hours 22 minutes
• Self-Paced
• Paid Course

Customising your models with TensorFlow 2

196 ratings at Coursera

Deepen TensorFlow skills to create custom deep learning models. Learn advanced APIs, complex architectures, and flexible data workflows. Develop a neural translation model in the capstone project.

• Coursera
• 1 day 3 hours 18 minutes
• Self-Paced
• Paid Course

Data Science: Transformers for Natural Language Processing

3026 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

Deep Learning for Natural Language Processing

Master neural networks for NLP, from feedforward and recurrent networks to transformers, transfer learning, and large language models, with practical implementation skills.

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

Modern Artificial Intelligence with Zero Coding

1823 ratings at Udemy

Build 5 Practical Projects & Harness the Power of AI to solve practical, real-world business problems with Zero Coding!

• Udemy
• 9 hours 33 minutes
• Self-Paced
• Paid Course

Deep Learning

34 ratings at Coursera

Explore neural networks, CNNs, RNNs, transformers, generative models, and advanced techniques in this comprehensive introduction to deep learning for aspiring ML engineers and data scientists.

• Coursera
• 2 days 9 hours 8 minutes
• Self-Paced
• Paid Course

MathWorks

Deep Learning for Object Detection

13 ratings at Coursera

Learn to detect and locate objects using deep learning for computer vision. Train YOLO models, evaluate results, and apply techniques to real-world scenarios like autonomous navigation and medical imaging.

• Coursera
• 8 hours 33 minutes
• Self-Paced
• Paid Course