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    • Speech Recognition

    Speech Recognition Courses Online

    Master speech recognition technology for voice-activated systems. Learn to develop and implement speech-to-text applications.

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    Explore the Speech Recognition Course Catalog

    • Status: Free Trial
      Free Trial
      B

      Berklee

      The Art of Vocal Production

      Skills you'll gain: Music Performance, Music, Post-Production, Editing, Performance Tuning, Peer Review

      4.7
      Rating, 4.7 out of 5 stars
      ·
      371 reviews

      Beginner · Course · 1 - 3 Months

    • N

      Northwestern University

      Sports Marketing

      Skills you'll gain: Event Marketing, Marketing, Social Media, Media Relations, Marketing Strategies, Loyalty Programs, Brand Management, Event Planning, Public Relations, Revenue Management, Promotional Strategies, Strategic Partnership, Crisis Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      ChatGPT Prompt Engineering for Developers

      Skills you'll gain: ChatGPT, Prompt Engineering, OpenAI, Large Language Modeling, Generative AI, Application Programming Interface (API), Application Development, Jupyter

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Gen AI Foundational Models for NLP & Language Understanding

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Text Mining, Artificial Neural Networks, Deep Learning, Feature Engineering

      4.4
      Rating, 4.4 out of 5 stars
      ·
      116 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Engineering with LLMs

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Generative AI, Natural Language Processing, Generative AI Agents, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Artificial Intelligence, Text Mining, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Data Processing, Performance Tuning, Reinforcement Learning, Feature Engineering, User Feedback, Training and Development

      4.5
      Rating, 4.5 out of 5 stars
      ·
      444 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Amsterdam

      Introduction to Communication Science

      Skills you'll gain: Culture, Interpersonal Communications, Media and Communications, Liberal Arts, Social Studies, Research, Ancient History, Anthropology, European History, Qualitative Research, Research Methodologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Y

      Yonsei University

      International Marketing & Cross Industry Growth

      Skills you'll gain: Business Marketing, Hospitality Management, Peer Review, Global Marketing, Marketing, Hospitality, Brand Management, B2B Sales, Customer Service, Innovation, Customer experience strategy (CX), Promotional Strategies, Strategic Marketing, Business-To-Consumer, Consumer Behaviour, Target Market, Market Share, Expectation Management, Growth Strategies, Digital Marketing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure AI Fundamentals AI-900 Exam Prep

      Skills you'll gain: Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Large Language Modeling, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • N

      NVIDIA

      AI Infrastructure and Operations Fundamentals

      Skills you'll gain: Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Cloud Infrastructure, IT Infrastructure, Deep Learning, Network Infrastructure, Tensorflow, Hardware Architecture, Machine Learning, PyTorch (Machine Learning Library), Data Centers, Computer Architecture, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      360 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google AR & VR

      Introduction to Augmented Reality and ARCore

      Skills you'll gain: Augmented Reality, Augmented and Virtual Reality (AR/VR), Virtual Environment, Unity Engine, Mobile Development, User Experience, Human Computer Interaction, Computer Vision, User Interface and User Experience (UI/UX) Design, User Flows

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Language Modeling with Transformers

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Large Language Modeling, Natural Language Processing, Applied Machine Learning, Deep Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      82 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      IA Para Todos (Español)

      Skills you'll gain: Market Opportunities, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Artificial Neural Networks, Data Science, Business Intelligence, Deep Learning, Machine Learning, Business Transformation, Computer Vision

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • The Art of Vocal Production: Berklee
    • Sports Marketing: Northwestern University
    • ChatGPT Prompt Engineering for Developers: DeepLearning.AI
    • Gen AI Foundational Models for NLP & Language Understanding: IBM
    • Generative AI Engineering with LLMs: IBM
    • Introduction to Communication Science: University of Amsterdam
    • International Marketing & Cross Industry Growth: Yonsei University
    • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
    • AI Infrastructure and Operations Fundamentals: NVIDIA
    • Introduction to Augmented Reality and ARCore: Google AR & VR

    Skills you can learn in Design And Product

    User Interface (18)
    User Experience (16)
    Software Testing (13)
    Game Design (11)
    Agile Software Development (10)
    Graphics (10)
    Virtual Reality (9)
    Design Thinking (8)
    Web (8)
    Video Game Development (7)
    Web Design (7)
    Adobe Photoshop (6)

    Frequently Asked Questions about Speech Recognition

    Speech recognition refers to the process by which computer software translates human speech to a written, machine-readable format. This capability is used increasingly widely, in applications ranging from simple dictation and question-answering programs to tools for real-time foreign language translation and full-featured chatbots. Advanced speech recognition capabilities will be an important part of the future of computer software and mobile apps, allowing users to interact with software in an intuitive and hands-free way.

    While the history of speech recognition dates back to the 1960s, progress in this field has accelerated greatly in the past decade with the advent of machine learning and deep learning. The use of these algorithmic approaches have opened the door for robust natural language processing (NLP), which goes beyond the simple conversion of spoken words into text and allows programs to understand the meaning of those words - and respond appropriately, if desired. NLP will be at the forefront of artificial intelligence (AI) applications, playing a key role in the functionality of helpful digital assistants and virtual agents as well as advanced robotics.‎

    Speech recognition and natural language processing (NLP) programming skills are in high demand from a growing range of companies seeking to tap into this technology to create new products and services. Typically using Python programming and TensorFlow, machine learning and deep learning engineers with expertise in this field build models that analyze speech and language, discover contextual patterns, and produce insights and situationally appropriate responses. According to Glassdoor, NLP engineers earned an average annual salary of $114,121 as of November 2020.‎

    Yes! Coursera has a variety of opportunities to learn about topics in machine learning and deep learning, including courses specifically on speech recognition and natural language processing (NLP). You can learn from top-ranked institutions in the field, like Stanford University and deeplearning.ai, leading companies like Google Cloud, or even by completing step-by-step tutorials alongside experienced instructors as part of Coursera’s Guided Projects. No matter how you choose to learn, you’ll be able to view course materials and complete assignments on a flexible schedule, which allows you to fit this valuable education in speech recognition into your existing studies, work, or family life.‎

    The skills and experience you might need to already have before starting to learn speech recognition are right in front of you, in the form of your mobile device. You may already be using speech to text your friends and family. This is one of the clearest examples of speech recognition, and voice-to-text is an experience you are likely familiar with. You may also want to learn about voice-activated assistants, like Alexa, Siri, and Google Assistant. These three offer the latest technologies that may help you learn speech recognition.‎

    The kind of people that are best suited for roles in speech recognition are those technology professionals who understand how software drives speech recognition. Software creators write programs to process human speech into written words on a screen. Speech recognition works as it focuses on translating speech from a verbal format to a text-based format. These people who are best suited for roles in speech recognition likely are also well versed in or want to learn about programming languages and artificial intelligence.‎

    How do I know if learning speech recognition is right for me? You may know if learning speech recognition is right for you if you have a deep passion to work on the cutting edge of technology. Speech recognition technology has fast changed the way modern society communicates, and there is likely a great deal more learning that will come in this area. You may also want to use your software skills to write code to train computers in similar ways to how we train our own brains, using fundamental processes, innovative thinking, and data research. If you’re interested in learning speech recognition as a career, you might know that this is a field that is right for you.‎

    Some topics that are related to speech recognition may include natural language processing (NLP), deep learning neural networks, machine learning, and artificial intelligence. You may also want to dive into each of the main speech recognition technologies offered by the major tech companies like Amazon, Google, Apple, Facebook, and others.‎

    Online Speech Recognition courses offer a convenient and flexible way to enhance your knowledge or learn new Speech Recognition skills. Choose from a wide range of Speech Recognition courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Speech Recognition, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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