Image Recognition Courses and Certifications

Deep Learning with PyTorch Live Course

2 ratings

Learn PyTorch for deep learning: tensors, gradient descent, linear regression, image processing, neural networks, CNNs, ResNet, regularization, data augmentation, and GANs for image generation.

• freeCodeCamp
• 12 hours
• Self-Paced
• Free Video

Augmented Startups

Building a Plant Recognition Frontend with React - Image Upload and Chat Interface Tutorial

Master React front-end development by building a plant recognition application with image upload, API integration, and chat functionality using Bootstrap, state management, and modern web development practices.

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

MathWorks

Deep Learning Onramp

1 rating

Get started quickly using deep learning methods to perform image recognition.

• MATLAB Academy
• 2 hours
• Self-Paced
• Free Certificate

Deep Learning with PyTorch: Zero to GANs

1 rating

"Deep Learning with PyTorch: Zero to GANs" is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. Enroll now to start learning.

• Jovian
• 24 weeks, 2-3 hours a week
• Self-Paced
• Free Online Course

AI in Gastroenterology

Explore how AI enhances gastroenterology through detection, characterization, and clinical decision-making while balancing workflow integration, risk prediction, and real-world evaluation.

• Polimi OPEN KNOWLEDGE
• Self-Paced
• Free Certificate

Learn to build convolutional neural networks, preprocess image data, and use filter and pooling layers for effective image classification with TensorFlow.

• Codecademy
• 2 hours
• Self-Paced
• Free Trial Available

Core ML: Machine Learning for iOS

14 ratings at Udacity

Learn how to use Apple's Core ML framework to build iOS apps with intelligent new features.

• Udacity
• 1 hour
• Self-Paced
• Free Online Course

Introduction to TensorFlow Lite

7 ratings at Udacity

Learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite.

• Udacity
• 11 hours
• Self-Paced
• Free Online Course

Master CNNs, vision transformers, and DETR for image classification and object detection using PyTorch with hands-on projects and data augmentation techniques.

• Codecademy
• 5 hours
• Self-Paced
• Free Trial Available

Career Certificate

Build Deep Learning Models with TensorFlow

Master TensorFlow to build and tune deep learning models, covering neural networks, classification, and real-world applications through hands-on projects.

• Codecademy
• 10 hours
• Self-Paced
• Free Trial Available

Introduction to Application of Artificial Intelligence to Robotics

Explore the integration of AI into robotics, covering kinematics, dynamics, control systems, object recognition, path planning, NLP, and navigation to build a strong foundation for advanced robotics.

• Swayam
• Self-Paced
• Free Online Course

Basics of Remote Sensing, GIS & GNSS and its Applications

Master remote sensing fundamentals, GIS technology, and GNSS applications through hands-on training with open-source software, covering everything from satellite systems to spatial data analysis and real-world applications.

• Swayam
• 15 weeks
• Self-Paced
• Free Online Course

Career Certificate

Build Deep Learning Models with PyTorch

Master neural network development across tabular data, text, and images using PyTorch through hands-on classification and generation projects in this comprehensive 17-hour learning path.

• Codecademy
• 17 hours
• Self-Paced
• Free Trial Available

Introduction to Neural Networks with PyTorch

Learn the fundamentals of neural networks with Python and PyTorch, and then use your new skills to create your own image classifier—an application that will first train a deep learning model on a dataset of images and then use the trained model to classi…

• Udacity
• 17 hours
• Self-Paced
• Paid Course

Building Convolutional Neural Networks for Computer Vision

Master CNNs for computer vision—build models from scratch, apply transfer learning, explore autoencoders, object detection, and semantic segmentation using PyTorch.

• Udacity
• 13 hours
• Self-Paced
• Paid Course