Computer Vision Courses and Certifications

AI Technologies in Healthcare

Explore how AI transforms healthcare through NLP, generative models, and computer vision to improve diagnosis, research, and clinical decision-making with hands-on labs.

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

Pragmatic AI Labs

Hugging Face Hub and Ecosystem Fundamentals

Discover how to navigate the Hugging Face ecosystem to find, evaluate, and deploy pre-trained ML models for text, image, and audio tasks across 500,000+ options without training from scratch.

• Coursera
• 2 hours 13 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Deep Learning Engineering

Master production-scale deep learning systems through TensorBoard diagnostics, PyTorch optimization, transformer fine-tuning, and GPU deployment with containerized infrastructure.

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

Packt

Advanced CNNs, Transfer Learning, and Recurrent Networks

Master advanced CNNs, transfer learning, and RNNs. Apply cutting-edge techniques to real-world datasets, from medical imaging to text generation. Gain practical skills through hands-on case studies and industry-relevant projects.

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

AI Image Generation Mastery

Master AI image generation to build complete visual systems, train custom models, and create professional branded content with consistent style and scalable workflows.

• Coursera
• 3 hours 29 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Transformers Unleashed: Master the Architecture of Modern AI

Master transformer-based AI systems—from building neural networks and NLP pipelines to deploying scalable ML models in cloud environments using TensorFlow, CI/CD workflows, and enterprise-grade architecture.

• Coursera
• 16 weeks, 4 hours/week
• Self-Paced
• Paid Course
• 6 courses

Azure AI Services: Introduction

You'll learn the fundamentals of Microsoft's Azure AI Services. This includes understanding the range of AI capabilities offered, such as computer vision, language processing, and machine learning, and how they can be applied in various solutions.

• edX
• 2 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course (Audit)

Build an AI Image Recognition app using Gemini on Vertex AI

Develop an AI image recognition app with Gemini on Vertex AI, enabling insightful text-based responses to image queries.

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

Packt

Artificial Intelligence for Robotics

Dive into AI-powered robotics using ROS 2, Python, and OpenCV to build intelligent robots with neural networks, computer vision, and natural language processing capabilities.

• Coursera
• 15 hours 49 minutes
• Self-Paced
• Paid Course

Packt

Mastering Image Segmentation with PyTorch

Explore image segmentation with PyTorch, from basics to advanced techniques. Learn CNNs, semantic segmentation, and tackle real-world projects to master this crucial aspect of computer vision.

• Coursera
• 6 hours 29 minutes
• Self-Paced
• Paid Course

Extract, Analyze, and Translate Text from Images with the Cloud ML APIs

Combine Cloud Vision, Natural Language, and Translation APIs to extract, analyze, and translate text from images using Google Cloud's powerful machine learning tools.

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

Coursera Career Certificate

Multimodal Intelligence - Vision, Audio & Language in Action

Master multimodal AI by processing vision, audio, and text data, fine-tuning transformers, building ETL pipelines, and deploying production-ready inference services on Kubernetes with CI/CD.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

MathWorks

AI for Engineering: An Overview

Explore how AI enhances engineering workflows—from simulation and virtual sensors to predictive maintenance and digital twins—while applying responsible AI principles like explainability and observability.

• Coursera
• 1 hour 11 minutes
• Self-Paced
• Paid Course

MathWorks

Low Code Image Segmentation

Quickly learn image segmentation using MATLAB apps for grayscale and color images, with code generation for automated processing of multiple images.

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

Coursera

Fine-tune Multimodal Models with Transfer Learning

Master transformer-based multimodal AI systems integrating text and image processing with PyTorch/TensorFlow, implementing fusion mechanisms and advanced fine-tuning strategies.

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