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  • Computer Vision

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: New
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    Coursera

    Transformers Unleashed: Master the Architecture of Modern AI

    Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Systems Architecture, Model Evaluation, Feature Engineering, AI Integrations, Image Analysis, Model Training, Model Deployment, Extract, Transform, Load, Systems Design, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Apache Spark, Natural Language Processing, Pandas (Python Package), Cloud Deployment, Machine Learning, Computer Vision, Computational Thinking

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Image Analysis, Anomaly Detection, Text Mining, Unsupervised Learning, Microsoft Azure, Data Ethics, Natural Language Processing, AI Workflows, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Machine Learning Software, AI literacy, Model Training, Regression Analysis, No-Code Development, Predictive Modeling, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    1.6K reviews

    Beginner · Specialization · 3 - 6 Months

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    Edureka

    No-Code Data Science and Machine Learning

    Skills you'll gain: Model Evaluation, Data Analysis, Data Manipulation, Data Wrangling, Classification Algorithms, Data Collection, Image Analysis, Model Deployment, No-Code Development, Machine Learning Software, Data Analysis Software, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Natural Language Processing

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Packt

    Deep Reinforcement Learning Hands-On

    Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Model Optimization, Large Language Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Fine-tuning, Model Training, Agentic systems, Machine Learning Algorithms, Machine Learning, Python Programming, Applied Machine Learning, Natural Language Processing, Performance Tuning, Algorithms, Model Evaluation, Data Analysis

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    LearnKartS

    Agentic AI Engineering: RAG, MCP & MERN

    Skills you'll gain: Agentic systems, Model Context Protocol, Vector Databases, Gemini, Generative AI Agents, Google Gemini, Retrieval-Augmented Generation, Artificial Intelligence, Generative AI, Embeddings, MongoDB, Node.JS, API Design, TypeScript, PostgreSQL, Web Applications, Systems Architecture, Database Management, Debugging, Machine Learning

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    LearnKartS

    Full Stack Agentic AI

    Skills you'll gain: Model Context Protocol, Agentic systems, Vector Databases, Retrieval-Augmented Generation, Prompt Engineering, Tool Calling, Google Gemini, Agentic Workflows, AI Workflows, Generative AI Agents, Server Side, Node.JS, Scalability, MongoDB, Embeddings, Large Language Modeling, Natural Language Processing, Web Development, Machine Learning, Javascript

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Stanford University

    AI in Healthcare

    Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Medical Records, Machine Learning Methods, Unstructured Data, Model Deployment, Health Informatics, Data Mining, Managed Care, Model Evaluation, Health Care, Responsible AI, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
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    2.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Edge Impulse

    Edge AI for Microcontrollers

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Embedded Software, Model Training, Machine Learning Methods, Embedded Systems, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Responsible AI, Data Collection, Predictive Modeling, Artificial Intelligence, Model Optimization, AI literacy, AI Product Strategy, Prototyping, Product Development

    4.8
    Rating, 4.8 out of 5 stars
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    889 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Vector Database Foundations and Core Concepts

    Skills you'll gain: Vector Databases, Embeddings, Generative AI, AI Workflows, Retrieval-Augmented Generation, Database Design, Database Systems, Model Optimization, Unstructured Data, Performance Tuning, Machine Learning Methods, Dimensionality Reduction, Model Evaluation, Scalability, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Model Training, Amazon Web Services, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Spatial Analysis, 3D Data & Machine Learning

    Skills you'll gain: Model Evaluation, Spatial Analysis, Spatial Data Analysis, Geostatistics, Geospatial Mapping, Model Training, Geospatial Information and Technology, Geographic Information Systems, Applied Machine Learning, Image Analysis, Feature Engineering, Machine Learning Methods, Deep Learning, Data Preprocessing, Convolutional Neural Networks, Machine Learning, Data Processing, Fine-tuning, Data Validation, Data Analysis

    Beginner · Course · 3 - 6 Months

1234…34

In summary, here are 10 of our most popular computer vision courses

  • Transformers Unleashed: Master the Architecture of Modern AI: Coursera
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • No-Code Data Science and Machine Learning: Edureka
  • Deep Reinforcement Learning Hands-On: Packt
  • Agentic AI Engineering: RAG, MCP & MERN: LearnKartS
  • Full Stack Agentic AI: LearnKartS
  • AI in Healthcare: Stanford University
  • Edge AI for Microcontrollers: Edge Impulse
  • Vector Database Foundations and Core Concepts: Coursera
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI

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