• Anytime
    Application Deadline
  • 1 month
    Duration
This Natural Language Processing in TensorFlow program offered by Coursera in partnership with Deeplearning is part of the TensorFlow in Practice Specialization.
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Overview

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

Education

In Natural Language Processing in TensorFlow program offered by Coursera in partnership with Deeplearning of the deeplearning.ai TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an  LSTM on existing text to create original poetry!

The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

Detailed Programme Facts

  • Deadline and start date A student can apply at any time for this programme, there is no deadline.
  • Programme intensity Part-time
    • Average part-time duration 1 months
    • Duration description

      Approx. 14 hours to complete

  • Languages
    • English
  • Delivery mode
    Online

Programme Structure

Courses include:

  • Sentiment in text
  • Word Embeddings
  • Sequence models
  • Sequence models and literature
More Details on Coursera Plus:
  • Learn Anything: Explore any interest or trending topic, take prerequisites, and advance your skills
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  • Flexible Learning: Learn at your own pace, move between multiple courses, or switch to a different course
  • Unlimited Certificates: Earn a certificate for every learning program that you complete at no additional cost

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

Intermediate Level

  • You should take the first 2 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.

Tuition Fee

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Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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