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Speech Recognition Courses

Speech recognition courses can help you learn the fundamentals of audio processing, language modeling, and transcription techniques. You can build skills in feature extraction, acoustic modeling, and implementing neural networks for voice recognition. Many courses introduce tools like Python libraries, TensorFlow, and Kaldi, that support developing speech recognition systems and applying AI to enhance user interactions in applications such as virtual assistants and automated transcription services.


Popular Speech Recognition Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    198 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of London

    Finding Your Professional Voice: Confidence & Impact

    Skills you'll gain: Oral Expression, Public Speaking, Verbal Communication Skills, Self-Awareness, Communication, Empowerment, Communication Strategies, Composure

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pragmatic AI Labs

    Prompt Architecture and NLP on Amazon Bedrock

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Amazon Bedrock, Token Optimization, Prompt Engineering Tools, Rust (Programming Language), Agentic Workflows, Process Modeling, AI Workflows, Natural Language Processing, LLM Application, Large Language Modeling, Generative AI, Data Pipelines, Command-Line Interface, Agentic systems, Version Control

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Autonomous Vehicles and Robotics

    Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Control Systems, Image Analysis, Robotics, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Reinforcement Learning, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    58 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Dependency Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    EDUCBA

    Master Revenue Recognition with IFRS 15 & ASC 606

    Skills you'll gain: Revenue Recognition, International Financial Reporting Standards, Financial Reporting, Contract Accounting, Generally Accepted Accounting Principles (GAAP), Financial Accounting, Technical Accounting, Franchising

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Encoder-Decoder Architecture - 繁體中文

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative AI, Generative Model Architectures, Natural Language Processing, Model Training, Applied Machine Learning

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of NLP and Transformers

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Generative AI, Large Language Modeling, Token Optimization, Embeddings, Generative Model Architectures, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

  • P

    Packt

    Conversation Design for Chatbots & Voice Assistants

    Skills you'll gain: Persona (User Experience), User Interface (UI), Prompt Engineering, Interaction Design, Usability, User Experience Design, Responsible AI, Human Centered Design, Human Computer Interaction, Design Research, User Flows, Usability Testing, Context Management, Multimodal Prompts, User Research, Prototyping, Technical Communication, User Requirements Documents, Data Ethics, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular speech recognition courses

  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Finding Your Professional Voice: Confidence & Impact: University of London
  • Prompt Architecture and NLP on Amazon Bedrock: Pragmatic AI Labs
  • AI for Autonomous Vehicles and Robotics: University of Michigan
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Master Revenue Recognition with IFRS 15 & ASC 606: EDUCBA
  • Encoder-Decoder Architecture - 繁體中文: Google Cloud
  • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Conversation Design for Chatbots & Voice Assistants: Packt

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