Image Recognition Courses and Certifications

Packt

Hands-On Data Science with PyTorch & Pandas

Master data science by building interactive dashboards with Shiny, analyzing datasets using Pandas workflows, and implementing PyTorch tensor operations and image classification apps in Python.

• Coursera
• 7 hours
• Self-Paced
• Paid Course

Career Certificate

Machine Learning For Dummies

Explore machine learning from foundational AI concepts and Python essentials to real-world applications like image classification and sentiment analysis, while mastering algorithms, model validation, and ethical data practices.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

Awwvision: Cloud Vision API from a Kubernetes Cluster

Aprende a usar Kubernetes y Cloud Vision API para clasificar imágenes de Reddit y mostrar los resultados en una aplicación web.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

Coursera

Building Vision and NLP Workflows with TensorFlow pipelines

Master building Vision and NLP pipelines using TensorFlow, Keras, and transformers—covering tokenization, embeddings, model evaluation, and deployment for real-world AI applications.

• Coursera
• 8 hours 56 minutes
• Self-Paced
• Paid Course

Edureka

AutoML: Build ML Models without Code

Master Google Vertex AI's AutoML platform to build, deploy, and monitor ML models for structured data, images, and text without coding through hands-on cloud demonstrations.

• Coursera
• 8 hours 7 minutes
• Self-Paced
• Paid Course

EDUCBA

Implement Advanced UiPath RPA Automation Workflows

Master production-ready UiPath RPA with advanced workflows, error handling, queue processing, image automation, and enterprise-grade transaction management for scalable solutions.

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

Machine Learning: Real-World Applications

Explore real-world ML applications including image classification, sentiment analysis, and recommender systems while mastering model optimization, ethical data usage, and performance evaluation techniques.

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

Career Certificate

Deep Learning

992 ratings at Udacity

Master deep learning by building neural networks, CNNs, Transformers, GANs, and Diffusion Models using PyTorch, with hands-on projects in image classification, NLP, and generative AI.

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

TensorFlow 2.0 Practical

961 ratings at Udemy

Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 10 practical projects

• Udemy
• 11 hours 45 minutes
• Self-Paced
• Paid Course

Machine Learning: Modern Computer Vision & Generative AI

833 ratings at Udemy

Use KerasCV, Python, Tensorflow, PyTorch, & JAX for Image Recognition, Object Detection, and Stable Diffusion

• Udemy
• 6 hours 32 minutes
• Self-Paced
• Paid Course

YOLO26 & The Legacy : 6 in 1 YOLO Masterclass 2026

709 ratings at Udemy

Build Real-World Computer Vision Projects using YOLOv7 YOLOv8 YOLOv9 YOLOv10 YOLO11 YOLO26: Detection, Tracking, AI Apps

• Udemy
• 16 hours 30 minutes
• Self-Paced
• Paid Course

Computer Vision on Raspberry Pi - Beginner to Advanced

653 ratings at Udemy

Build Real-World Computer Vision Applications on Raspberry Pi and Learn Basics of Neural Networks using Google Colab

• Udemy
• 9 hours 1 minute
• Self-Paced
• Paid Course

Practical Deep Learning: Master PyTorch in 15 Days

571 ratings at Udemy

From Zero to your own models: Learn PyTorch with hands-on projects. No previous experience required.

• Udemy
• 16 hours 23 minutes
• Self-Paced
• Paid Course

Code With Aarohi

AI and Deep Learning Explained - CNNs, Transformers, GANs, YOLO, GNNs and More

Discover comprehensive AI and deep learning through 115+ tutorials covering CNNs, Transformers, GANs, YOLO, and more with hands-on implementations in TensorFlow and PyTorch.

• YouTube
• 1 day 13 hours 59 minutes
• Self-Paced
• Free Video

TED

How We Teach Computers to Understand Pictures

Explore the cutting-edge of computer vision as Fei-Fei Li discusses teaching machines to interpret images, showcasing a 15-million-photo database and future possibilities in artificial intelligence.

• YouTube
• 18 minutes
• Self-Paced
• Conference Talk