Overview
Throughout the Communicating with Natural Language course from Udacity you'll build a speech recognition model using deep neural networks.
Key facts:
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum.
Projects are based on real-world scenarios and challenges, allowingyou to apply the skills you learn to practical situations, while givingyou real hands-on experience.- Gain proven experience
- Retain knowledge longer
- Apply new skills immediately
What you'll do during this course:
- Get acquainted with the principles and applications of VUI, and get introduced to Alexa skills.
- Build your own Alexa skill and deploy it!
- Learn how an automatic speech recognition (ASR) pipeline works.
- Build a deep neural network that functions as part of an end-to-end automatic speech recognition pipeline.
Programme Structure
Courses include:
- Voice User Interfaces
- Alexa History Skill
- Speech Recognition
- Project: DNN Speech Recognizer
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Artificial Intelligence View 127 other Short Courses in Artificial Intelligence in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prior to enrolling, you should have the following knowledge:
- Intermediate Python
- Neural network basics
- Basic probability
- Object-oriented programming basics
- Deep learning framework proficiency
You will also need to be able to communicate fluently and professionally in written and spoken English.
Tuition Fees
Additional Details
- This program can be paid for with the Udacity subscription.