- Introduction to NLP
- Parts of Speech tagging with hidden Markov Models
- Text Processing
Expert
Online
3 Months
Quick facts
particular | details | |||
---|---|---|---|---|
Collaborators
IBM,
+1 more
|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Learning efforts
10-15 Hours Per Week
|
Course overview
The software market for Natural Language Processing Expert has grown immensely in the last few years and as experts have predicted, it is only bound to grow even bigger. This makes it now the perfect time to join in the industry and secure a balanced future with many more opportunities to come from the sprouting sector. Undoubtedly, Udacity’s Natural Language Processing Expert is the place to start.
The course has been designed specifically to allow students to make the most out of the sector and learn the best of contents available. It offers very deep knowledge and understanding of Natural Language Process techniques. The skills students would learn during the length of the course will teach them building and mastering application software of written and spoken language.
The excellent faculty and instructor team consists of both seasoned experienced teachers at Udacity as well as experts from the Industry. Expertise in Natural Language Processing and Voice User Interface is the blend of one of the most sought-after skills in the Application Software sector. Having a skill set consisting of both will be very beneficial for someone looking for a career in the field of Artificial Intelligence.
The highlights
- 3-month programme
- Collaborations with Amazon Alexa and IBM Watson
- Dedicated learning of 10 – 15 hours/ week
- Certificate from Udacity
Program offerings
- Real world projects
- Contents co-created with alexa
- Project reviews
- Interview preparations
- Personal career coaching
- Project feedback
Course and certificate fees
- You can pay the Natural Language Processing Expert fee upfront or pay as you go
- The upfront payment will provide you with 4 months of access
Natural Language Processing Expert Fee Structure
Particular | Amount in INR |
Natural Language Processing | Rs. 20,500 |
certificate availability
certificate providing authority
Eligibility criteria
Work Experience
- Candidates who apply for this programme must have intermediate to advanced experience in Python.
- Candidates must be familiar or must have worked on deep learning frameworks such as PyTorch, Keras, TensorFlow, etc.
Education
- The course is ideal for candidates that have Intermediate Statistical Knowledge along with Python Coding and Shell Scripting.
- Candidates must have an intermediate level of knowledge in machine learning techniques.
Certification Qualifying Details
The Natural Language Processing Expert programme comprises curriculum, course and three projects which needs to be completed in a time period of 3 months. These projects are reviewed by the reviewer network of Udacity. To get the certificate of completion, it is essential for candidates to pass and clear in all these projects.
What you will learn
When the Natural Language Processing Expert online would have been completed, students will be a master of the following topics:
- They will be introduced to the theory behind Natural Language Processing, Text Processing, and will learn about tagging parts of speech with hidden Markov Models
- The students will have a firm grasp on how to design software that extracts text features, embeds algorithms and modelling
- Deep Learning Attention and Information Retrieval from systems will be some of the key points they will be taught
- Udacity also offers this course Introduction to Voice Interface, Speech Recognition, and Alexa History Skill
Who it is for
Admission details
Filling the form
Candidates who are interested in taking the Natural Language Processing Expert have to follow the given procedure:
Step 1: First and foremost step is that the candidates have to check the programme
Step 2: Visit the page and click on the tab titled ‘Enrol Now’.
Step 3: You will find that there are two payment plans that are given from which you need to select one. One is Pay Upfront and the second is Pay as you go.
Step 4: Once the plan is selected, click on the ‘Returning Student’ tab. If you are a new user, click on ‘Quick Checkout’.
Step 5: If you click on ‘Quick Checkout’ then you need to sign up first via Google or Facebook.
Step 6: The page that will appear will have fees details.
Step 7: If you are having a coupon code then you need to enter that and proceed to checkout and if you don’t have it then straight away checkout.
Step 8: Now, the user can make the payment done via debit/credit card or any other mode.
Step 9: The candidate can now access the programme after the payment is made.
The syllabus
Introduction to Natural Language Processing
Computing with Natural Language
- Feature Extractions and Embedding
- Information Systems
- Modeling
- Deep Learning Attention
Communicating with Natural Language
- Introduction to Voice User Interface
- Introduction to Speech Recognition
- Alexa History Skill
Scholarship Details
In order to check their eligibility for scholarships, candidates need to first visit the course page. They have to sign up under the tab Notify Me. Post this, they will start receiving updates regarding scholarships that are posted on the website. The candidate can visit and see if he/she is eligible for it or not.
How it helps
The programme will teach candidates all about Natural Language Processing and all its components like sentiment analysis, speech recognition and machine translation which make up to be an impressive skill set for a person in the Cyber field. The state of the art technology combined with deep learning modules makes one an expert at NLP.
Artificial Intelligence, as well as applications software all over the globe, need a voice user interface that can run with the system and progress alongside it. There is a huge demand for such skills and having it on one's portfolio will offer quite many opportunities.
Instructors
Mr Luis Serrano
Instructor
Freelancer
Ph.D
Mr Jay Alammar
Instructor
Freelancer
Other Bachelors
Ms Dana Sheahen
Content Developer
Freelancer
M.E /M.Tech.
Mr Arpan Chakraborty
Instructor
Georgia Tech
Ph.D
FAQs
The following topics from Statistics must be known:
- Mean, Median and Mode
- Variation, Standard Deviations
- Populations, Samples
- Normal Distribution
- Standard Error
The estimated time of the course is 3 months but the candidate can take extra time with monthly payments.
The candidates will need a 64-bit operating system with 8GB RAM and sufficient storage space and primary working speed to install and work on Python 3.5 and its supporting packages.
There are multiple choices but Udacity’s top recommendations are the Robotics Engineer Course, Computer Vision Nanodegree Program and Application Software Engineer.
Based on what the candidates are missing, they can join the following courses to gain knowledge about them first:
- Machine Learning Engineer Nanodegree program
- Intro to Machine Learning
- Data Analyst Nanodegree program
- Intro to Programming Nanodegree program
- Deep Learning Nanodegree program
- Intro to Data Science
- Artificial Intelligence Programming with Python Nanodegree program
Articles
Popular Articles
Similar Courses
Natural Language Processing
HSE University via Coursera
Courses of your interest
TOGAF 9 Combined Level 1 and Level 2 Training
SkillUp Online via Simplilearn
Advanced Certificate Program in DevOps
CMU School of Computer Science, ... via TalentSprint
Mastering Deep Learning Using Apache Spark
Simpliv Learning
Devops with AWS CodePipeline Jenkins and AWS CodeD...
Simpliv Learning
Machine Learning with Python from Linear Models to...
MIT Cambridge via Edx
Big Data Capstone Project
The University of Adelaide, Adel... via Edx
Computer Vision for Embedded Systems
Purdue University, West Lafayette via Edx
Computer Applications of Artificial Intelligence a...
Purdue University, West Lafayette via Edx
Advanced Power Searching With Google
Google via Edx
More Courses by Udacity
Introduction to Data Science
Udacity
Ethical Hacker
Udacity
Design of Computer Programs
Udacity
Data Architect
Udacity
Self-Driving Car Engineer
Udacity