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  • Signal Processing

Signal Processing Courses

Signal processing courses can help you learn about Fourier transforms, filtering techniques, and signal modulation. You can build skills in analyzing audio and visual signals, implementing algorithms for noise reduction, and working with time-frequency analysis. Many courses introduce tools like MATLAB and Python libraries, that support simulating signal processing techniques and analyzing real-world data.


Popular Signal Processing Courses and Certifications


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    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of California San Diego

    Internet of Things: Multimedia Technologies

    Skills you'll gain: Mobile Development, Visualization (Computer Graphics), Application Development, Python Programming, Internet Of Things, Image Quality, Digital Signal Processing, Embedded Software, Development Environment

    4.7
    Rating, 4.7 out of 5 stars
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    307 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Colorado Boulder

    Real-Time Project for Embedded Systems

    Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Systems Architecture, Software Design, Software Architecture, Verification And Validation, System Design and Implementation, Code Review, Real Time Data, Performance Testing, Linux, Performance Tuning, Computer Vision, Debugging

    3.8
    Rating, 3.8 out of 5 stars
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    8 reviews

    Advanced · Course · 1 - 3 Months

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    MathWorks

    Automating Image Processing

    Skills you'll gain: Image Analysis, Matlab, Computer Vision, Traffic Flow Optimization, Automation, Anomaly Detection, Data Preprocessing, Data Store

    4.7
    Rating, 4.7 out of 5 stars
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    25 reviews

    Beginner · Course · 1 - 4 Weeks

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    Edureka

    AI Applications: Computer Vision and Speech Recognition

    Skills you'll gain: Computer Vision, Applied Machine Learning, Digital Signal Processing

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Northeastern University

    Applied Natural Language Processing in Engineering Part 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Embeddings, Deep Learning, Applied Machine Learning, Markov Model

    Mixed · Course · 1 - 3 Months

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    U

    Università di Napoli Federico II

    Robotics Foundations I - Robot Modelling

    Skills you'll gain: Robotics, Simulation and Simulation Software

    Intermediate · Course · 1 - 3 Months

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    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Deep Learning, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
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    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    DeepLearning.AI

    Natural Language Processing in TensorFlow

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Applied Machine Learning, Data Preprocessing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    6.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Communications and High-Speed Signals with Raspberry Pi

    Skills you'll gain: Electronics, Communication Systems, Hardware Design, Digital Communications, Electronic Systems, Electrical Engineering, Digital Signal Processing, Failure Analysis, Electronic Components, Estimation, Debugging, Network Analysis, Simulation and Simulation Software

    4.8
    Rating, 4.8 out of 5 stars
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    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
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    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular signal processing courses

  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Internet of Things: Multimedia Technologies: University of California San Diego
  • Real-Time Project for Embedded Systems: University of Colorado Boulder
  • Automating Image Processing: MathWorks
  • AI Applications: Computer Vision and Speech Recognition: Edureka
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Applied Natural Language Processing in Engineering Part 2: Northeastern University
  • Robotics Foundations I - Robot Modelling: Università di Napoli Federico II
  • Machine Learning for Computer Vision: MathWorks
  • Natural Language Processing in TensorFlow: DeepLearning.AI

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