UPPALA VIJAY KUMAR (Phd)

                   

Natural Language Programming  

     By Asst.Prof. U. Vijay Kumar (PhD)   |  NEC

ABOUT THE COURSE : Learning NLP equips students with valuable skills, enhances their career prospects, and enables them to contribute to advancements in language processing and understanding.

NLP offers a wide range of job opportunities in various sectors, including technology, healthcare, finance, research, and more. Here are some common job roles related to NLP along with their approximate salary ranges (Please note that salaries can vary depending on factors such as location, experience, company, and industry):

1. NLP Engineer/Researcher:

   • Entry-level: $70,000 - $100,000 per year
   • Mid-level: $100,000 - $150,000 per year
   • Senior-level: $150,000 - $200,000+ per year

2. Data Scientist with NLP focus:

   • Entry-level: $80,000 - $110,000 per year
   • Mid-level: $110,000 - $150,000 per year
   • Senior-level: $150,000 - $200,000+ per year

3. Machine Learning Engineer with NLP expertise:

   • Entry-level: $80,000 - $110,000 per year
   • Mid-level: $110,000 - $150,000 per year
   • Senior-level: $150,000 - $200,000+ per year

4. Computational Linguist:

   • Entry-level: $60,000 - $80,000 per year
   • Mid-level: $80,000 - $110,000 per year
   • Senior-level: $110,000 - $150,000+ per year

5. NLP Research Scientist:

   • Entry-level: $80,000 - $110,000 per year
   • Mid-level: $110,000 - $150,000 per year
   • Senior-level: $150,000 - $200,000+ per year

6. NLP Product Manager:

   • Entry-level: $70,000 - $100,000 per year
   • Mid-level: $100,000 - $140,000 per year
   • Senior-level: $140,000 - $180,000+ per year

Please note that these salary ranges are approximate and can vary significantly based on factors such as the size and location of the company, industry, level of experience, educational background, and specific skills and expertise possessed by the individual.

NLP professionals with advanced degrees (Ph.D.) or extensive experience in the field often command higher salaries. Additionally, the demand for NLP expertise is growing rapidly, which can lead to competitive compensation packages for qualified candidates.

INTENDED AUDIENCE :  Students, Researchers 

PRE-REQUISITES : NIL

COURSE OUTCOMES

CO1	Describe the concepts of morphology, syntax, semantics, discourse &pragmatics of natural language.[K2]
CO2	Demonstrate understanding of the relationship between NLP and statistics &machine learning.[K2]
CO3	Discover various linguistic and statistical features relevant to the basic NLP task, namely, spelling correction, morphological analysis, parts-of-speech tagging, parsing and semantic analysis.[K4]
CO4	Develop systems for various NLP problems with moderate complexity. [K4]

 Summary

Course Status :	ongoing
Course Type :	Core
Duration :	16 weeks
Start Date :	5-6-2023
End Date :	23-6-2023
Exam Date :	2023 IST
Enrollment  link :	Click here content LMS Link
Category :	Data science
Credit Points :	3
Level :	Undergraduate