Computer Vision Courses
Computer vision courses can help you learn image processing, object detection, facial recognition, and video analysis. You can build skills in feature extraction, image classification, and deep learning techniques. Many courses introduce tools like OpenCV, TensorFlow, and PyTorch, that support implementing algorithms and developing applications that leverage artificial intelligence and AI for visual data interpretation.
Popular Computer Vision Courses and Certifications
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Apache Airflow, Data Validation, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Image Analysis, Debugging, PyTorch (Machine Learning Library), Computer Vision, Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Algorithms, Embeddings, Applied Machine Learning, Performance Tuning, Deep Learning, Digital Signal Processing
Status: Free TrialGoogle Cloud
Skills you'll gain: Convolutional Neural Networks, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Deep Learning, Google Cloud Platform, Data Preprocessing, Feature Engineering, Classification Algorithms, Cloud API
Status: Free TrialSkills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Generative AI, AI Security, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Responsible AI, Embeddings, Software Development
Status: Free TrialUniversity of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Graph Theory, Estimation, Machine Learning Methods
Status: FreePrinceton University
Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Distributed Computing, Operating Systems, Performance Tuning, Scalability
Status: Free TrialGoogle Cloud
Skills you'll gain: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
What brings you to Coursera today?
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, Digital Signal Processing, Transfer Learning
Status: Free TrialUniversity of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Neural Networks, Robotics, Machine Learning Algorithms, Linear Algebra
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Performance Tuning, Applied Machine Learning, Deep Learning, Vision Transformer (ViT), Tensorflow, Cloud Computing, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision
Status: NewStatus: Free TrialSkills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
Status: NewStatus: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Keras (Neural Network Library), Artificial Neural Networks, Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Embeddings, Data Preprocessing, Model Evaluation
In summary, here are 10 of our most popular computer vision courses
- Vision & Audio AI Systems:Â Coursera
- Computer Vision Fundamentals with Google Cloud:Â Google Cloud
- IBM RAG and Agentic AI:Â IBM
- Self-Driving Cars:Â University of Toronto
- Computer Architecture:Â Princeton University
- Advanced Machine Learning on Google Cloud:Â Google Cloud
- Modern AI Models for Vision and Multimodal Understanding:Â University of Colorado Boulder
- Visual Perception for Self-Driving Cars:Â University of Toronto
- AI Engineer Professional:Â Packt
- Deep Learning Engineering:Â Coursera
