Natural Language Processing

Level

Advanced

Prerequisites

[same as CV and NLP] • Intermediate/Advanced Python – can write nested for loops and can read and understand code written by others. intermediate statistics and probability.
• Intermediate Machine learning – can describe backpropagation and have seen examples of neural network architecture, eg. a CNN. Familiarity with deep learning framework like TensorFlow, Keras, or PyTorch.

Course Duration

3 months

Udacity current price ( USD)

1017

Reseller price (USD)

775

Career Focus

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.

Target Audience

students looking to go deep into a specialized AI field. already have experience in the field (even if not actually an AI engineer)

General Curriculum)

Probabilistic and deep learning models. hidden Markov models, and Recurrent Neural Networks for speech recognition and machine translation. Text processing including stemming and lemmatization. Advanced techniques like word embeddings, deep learning attention. Voice User Interfaces for text<-> speech. build a speech recognition model with deep neural networks. Uses _____ (tools / technology)

Why Take This ND?

N/A

Tools

• What They Need: Need a computer on which all of these programs can be installed
• What They Will Use/Learn: Python, PyTorch (library in Python), Jupyter Notebook, NumPy, Anaconda, Pandas

Projects

• • Part of Speech Tagging
  • Machine Translation
  • Machine Translation

Syllabus

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