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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: Preview
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    S

    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    758 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Network Analysis, Computational Thinking, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    180 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Approximation Algorithms and Linear Programming

    Skills you'll gain: Operations Research, Algorithms, Applied Mathematics, Graph Theory, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    49 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms, Test Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    303 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Fundamentals of Software Architecture for Big Data

    Skills you'll gain: Service Level, Software Engineering, Software Architecture, Data Architecture, Distributed Computing, Microservices, Transaction Processing, Software Design, Database Systems, Blockchain, Big Data, Data Structures, Test Driven Development (TDD), System Monitoring

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    ·
    87 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Applied Machine Learning, Application Deployment, Machine Learning Algorithms, Computer Vision, Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    94 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Advanced Algorithms and Complexity

    Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Python Programming, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    700 reviews

    Advanced · Course · 1 - 3 Months

  • L

    LearnQuest

    Azure Infrastructure Fundamentals

    Skills you'll gain: Azure Active Directory, Cloud Infrastructure, Microsoft Azure, Virtual Machines, Infrastructure As A Service (IaaS), Role-Based Access Control (RBAC), Infrastructure Security, Multi-Factor Authentication, Network Infrastructure, Cloud Storage, Virtualization, Identity and Access Management, Cloud Computing, Virtual Private Networks (VPN), Data Migration, Disaster Recovery

    3.8
    Rating, 3.8 out of 5 stars
    ·
    53 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Overview of Advanced Methods of Reinforcement Learning in Finance

    Skills you'll gain: Reinforcement Learning, Market Dynamics, Risk Modeling, Financial Modeling, Technical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Physics, Probability & Statistics

    3.8
    Rating, 3.8 out of 5 stars
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    85 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Scalability, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Excel/VBA for Creative Problem Solving, Part 3 (Projects)

    Skills you'll gain: Excel Macros, Microsoft Excel, Visual Basic (Programming Language), Simulations, User Interface (UI), Automation, Debugging, Data Management

    4.9
    Rating, 4.9 out of 5 stars
    ·
    462 reviews

    Advanced · Course · 1 - 3 Months

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

  • Social and Economic Networks: Models and Analysis: Stanford University
  • Trees and Graphs: Basics: University of Colorado Boulder
  • Approximation Algorithms and Linear Programming : University of Colorado Boulder
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Fundamentals of Software Architecture for Big Data: University of Colorado Boulder
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Semantic Segmentation with Amazon Sagemaker: Coursera
  • Advanced Algorithms and Complexity: University of California San Diego
  • Azure Infrastructure Fundamentals: LearnQuest
  • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University

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Application Programming Interfaces (17)
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Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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