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Udacity
Udacity

Become a Natural Language Processing Expert

Nanodegree Program

Master the skills to get computers to understand, process, and manipulate human language. Build models on real data, and get hands-on experience with sentiment analysis, machine translation, and more.

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06Days08Hrs48Min28Sec

  • Estimated time
    3 Months

    At 10-15 hrs/week

  • Enroll by
    December 14, 2022

    Get access to classroom immediately on enrollment

  • Prerequisites
    Python, Statistics, Machine Learning, & Deep Learning
In collaboration with
  • Amazon Alexa
  • IBM Watson

What you will learn

  1. Master Natural Language Processing

    3 Months to complete

    Learn cutting-edge natural language processing techniques to process speech and analyze text. Build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to teach the computer to do tasks such as speech recognition, machine translation, and more!

    Related Nanodegree programs

    Prerequisite knowledge

    1. Introduction to Natural Language Processing

      Learn text processing fundamentals, including stemming and lemmatization. Explore machine learning methods in sentiment analysis. Build a speech tagging model.

    2. Computing with Natural Language

      Learn advanced techniques like word embeddings, deep learning attention, and more. Build a machine translation model using recurrent neural network architectures.

    3. Communicating with Natural Language

      Learn voice user interface techniques that turn speech into text and vice versa. Build a speech recognition model using deep neural networks.

All our programs include:

  • Real-world projects from industry experts

    With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.

  • Technical mentor support

    Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.

  • Career services

    You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.

  • Flexible learning program

    Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

Program offerings

  • Class Content

    • Content Co-created with Amazon Alexa
    • Real-world projects
    • Project reviews
    • Project feedback from experienced reviewers

  • Student services

    • Technical mentor support
    • Student community

  • Career services

    • Github review
    • Linkedin profile optimization

Succeed with personalized services.

We provide services customized for your needs at every step of your learning journey to ensure your success.

Get timely feedback on your projects.

  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
  • 1,400+

    project reviewers

  • 2.7M

    projects reviewed

  • 88/100

    reviewer rating

  • 1.1 hours

    avg project review turnaround time

Learn with the best.

Learn with the best.

  • Luis Serrano

    Instructor

    Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.

  • Jay Alammar

    Instructor

    Jay has a degree in computer science, loves visualizing machine learning concepts, and is the Investment Principal at STV, a $500 million venture capital fund focused on high-technology startups.

  • Arpan Chakraborty

    Instructor

    Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.

  • Dana Sheahen

    Content Developer

    Dana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where she was awarded a patent for an onboard operating system.

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Natural Language Processing

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Program Details

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Natural Language Processing

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