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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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01Days07Hrs33Min18Sec

  • Estimated time
    3 Months

    At 10-15 hrs/week

  • Enroll by
    February 1, 2023

    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!

    Prerequisite knowledge

    This program requires experience with Python, statistics, machine learning, and deep learning.

    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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    Best Value
  • Learn

    Learn the essentials of natural language processing, including part-of-speech tagging, sentiment analysis, machine translation, and speech recognition.

  • Average Time

    On average, successful students take 3 months to complete this program.

  • Benefits include

    • Real-world projects from industry experts
    • Technical mentor support
    • Career services

Program Details

Program overview: Why should I take this program?
  • Why should I enroll in this program?

    This program offers a deep dive into modern Natural Language Process techniques. Mastering these skills will prepare you to build applications involving written and spoken language. We’ve collaborated with leading innovators such as IBM and Amazon to create our world-class curriculum, and you’ll learn from an instructor team comprised of experts from both Udacity and industry professionals. Massive growth is being predicted for the Natural Language Processing software market, making now the perfect time to enter this field.

  • What jobs will this program prepare me for?

    In this program, you’ll develop and refine specialized skills in natural language processing and voice user interfaces. The curriculum is not designed to prepare you for a specific job; instead, the goal is that you’ll expand your skills in the natural language processing domain. Growth predictions are extremely high for this market, and having these in-demand skills will significantly enhance your ability to advance your AI career.

  • How do I know if this program is right for me?

    If your goal is to become an expert in Natural Language Processing (NLP), this program is ideal for you. Over the course of this program, you’ll become an expert in the main components of NLP, including speech recognition, sentiment analysis, and machine translation. You’ll learn cutting edge probabilistic and deep learning models, code them and train them on real data, and build a career-ready portfolio as an NLP expert!

Enrollment and admission
  • Do I need to apply? What are the admission criteria?

    No. This Nanodegree program accepts all applicants regardless of experience and specific background.

  • What are the prerequisites for enrollment?

    To succeed in this Nanodegree program, we recommend you first take any course in Deep Learning equivalent to our Deep Learning Nanodegree program. You also need to be able to communicate fluently and professionally in written and spoken English. Additionally, you should have the following knowledge:

    Intermediate Python programming knowledge, including:

    • Strings, numbers, and variables
    • Statements, operators, and expressions
    • Lists, tuples, and dictionaries
    • Conditions & loops
    • Generators & comprehensions
    • Procedures, objects, modules, and libraries
    • Troubleshooting and debugging
    • Research & documentation
    • Problem solving
    • Algorithms and data structures

    Basic shell scripting:

    • Run programs from a command line
    • Debug error messages and feedback
    • Set environment variables
    • Establish remote connections

    Basic statistical knowledge, including:

    • Populations, samples
    • Mean, median, mode
    • Standard error
    • Variation, standard deviations
    • Normal distribution

    Intermediate differential calculus and linear algebra, including:

    • Derivatives & Integrals
    • Series expansions
    • Matrix operations through eigenvectors and eigenvalues
  • If I do not meet the requirements to enroll, what should I do?
Tuition and term of program
  • How is this Nanodegree program structured?

    The Natural Language Processing Nanodegree program is comprised of content and curriculum to support three (3) projects. We estimate that students can complete the program in three (3) months, working 10 hours per week.

    Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

  • How long is this Nanodegree program?

    Access to this Nanodegree program runs for the length of time specified above. If you do not graduate within that time period, you will continue learning with month-to-month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.

  • Can I switch my start date? Can I get a refund?

    Please see the Udacity Program FAQs for policies on enrollment in our programs.

  • I have graduated from the Natural language Processing Nanodegree program but I want to keep learning. Where should I go from here?

    If you would like to explore other applications for convolutional and recurrent neural networks, and have an interest in computer vision, then consider enrolling in the Computer Vision Nanodegree program. If you are looking for additional advanced topics in AI, the Robotics Engineer and Self-Driving Car Engineer Nanodegree programs could be ideal for you. And regardless of your future career destination, you’ll find that the Artificial Intelligence Nanodegree program is full of valuable content that will serve you well in almost any AI role.

Software and hardware: What do I need for this program?
  • What software and versions will I need in this program?

    You will need a computer running a 64-bit operating system (most modern Windows, OS X, and Linux versions will work) with at least 8GB of RAM, along with administrator account permissions sufficient to install programs including Anaconda with Python 3.5 and supporting packages. Your network should allow secure connections to remote hosts (like SSH). We will provide you with instructions to install the required software packages. Udacity does not provide any hardware or software.

Natural Language Processing

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