Cohort - 2 Commencement
3rd week of March, 2026 (Tentatively)
Cohort - 2 Completion
3rd week of June, 2026 (Tentatively)
Learning Format
Online (Live + Hands-on sessions)
Language
English
Duration
3 months
Registration
The last date of registration is 10th March, 2026

Learners will get access to 3 add-on prep courses to enhance their domain knowledge.

about the programme

About the Programme

This is a 3-month certification programme in Natural Language Processing (NLP) that offers a dynamic pathway to career advancement and professional success across this domain. In an era defined by data-driven decision-making and technological innovations, the demand for skilled AI practitioners is at an all-time high. Individuals will gain the expertise needed to harness the power of data, develop predictive models and unlock actionable insights that drive business growth and innovation by investing in this programme. Through this certification course, candidates will get the opportunity to learn from IIT professors and leading industry experts in the domain.

The specialisation certification consists of topics, examples and case studies, which is to be covered within 3 months. There will be 2 sessions per week and the duration of each session will be 90 minutes. The Live Lectures are planned every week in the evening from 7:00 PM to 8:30 PM.

Future Outlook

The market size of the Natural Language Processing (NLP) market is projected to reach US$36.42 billion in 2024. The market size is expected to show an annual growth rate (CAGR 2024-2030) of 27.55%, resulting in a market volume of US$156.80 billion by 2030. For India, the market size is expected to show an annual growth rate (CAGR 2024-2030) of 27.57%, resulting in a market volume of US$5.56 billion by 2030.

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Key Highlights

Over 65 hours of overall experiential learning in the domain of Natural Language Processing (NLP)

3 add-on prep courses on Python Programming, Statistics Essentials and Machine Learning

Continuous end-of-module assessments

Live Lectures for interactive learning and doubt clearing

Interaction with experts and peer networking through discussion room community

Dedicated hands-on lab sessions by IIT (ISM) Dhanbad faculty

Industry projects and use cases

Interact with industry experts from TCS and beyond

Learning Outcome

The participants are expected to develop the following skills by the end of the programme:

  • Understand Mathematical principles to grasp concepts and effectively apply algorithms and techniques
  • Develop sophisticated models capable of handling complex tasks such as Natural Language Processing (NLP)
  • Understand and interpret human language, enabling applications such as sentiment analysis, machine translation, chatbots, and information retrieval
  • Develop systems and applications that enhance user experiences through image and video analysis, leading to improved efficiency, safety, and decision-making
  • Advanced skills in AI and Natural Language Processing, enabling participants to stay competitive in the rapidly evolving technological landscape
  • Tackle complex problems using AI and Natural Language Processing techniques, leading to innovative solutions and improved decision-making
 develop the skills

Develop Hands-on Expertise In

Keras
TensorFlow
NumPy
scikit-learn
PyTorch
Pandas
Natural Language Toolkit (NLTK)
TextBlob

Potential Career Path

The field generates a variety of job roles, including but not limited to those based on the following specialisation tracks:

These roles require a blend of technical understanding, strategic thinking, and practical application of concepts taught in the programme.

  • NLP Engineer
  • NLP Analyst
  • Machine Learning Engineer
  • Conversational AI Developer
  • Search Engineer
  • MLOps Engineer

Programme Pedagogy

Programme Syllabus Overview

This comprehensive syllabus covers the latest industry practices and techniques on Natural Language Processing (NLP) thats spans across 3 months. This course curriculum is designed in a way that it aligns with the current industry trends and practices, making graduates job-ready and valuable to organisations. In addition, learners will be guided through the intricacies of the concepts with hands-on implementations on projects and scenarios as per the industry standards. This will provide learners with a solid foundation in building proficiency by ensuring a cohesive and thorough understanding from the basic to the advanced topics leveraging extensive hands-on implementations.

program syllabus overviewprogram syllabus overview
  • Introduction to Natural Language Processing (NLP)
  • Word Embeddings (Word2Vec, GloVe, fastText, Glove)
  • Language modeling, PoS tagging, and Named Entity Recognition
  • Introduction to NLTK library (LAB)
  • Develop language model, PoS tagger, and NER using PyTorch (LAB)
  • Syntactic and Semantic Parsing
  • Sentiment Analysis using PyTorch library and word embeddings
  • Information Extraction, Word Sense Disambiguation
  • Summarization Theory and lab using T5 library and PyTorch
  • Transformer-based LLMs - BERT, XLM-RoBERTa
  • MT using transformer-based Sequence-to-Sequence Models (LAB)
  • Question Answering And Dialog Systems
  • Question Answering And Dialog Systems Lab
  • Cross-lingual NLP, Domain Adaptation and Transfer Learning
  • Prompt Engineering
  • Prompt Engineering Lab

Certificate Eligibility Criteria

Learners will be awarded a co-branded digital certificate upon successful completion of the programme. The course evaluation components are modular quizzes, assignments and attendance.

  • Certificate of Participation (CoP): If a learner has scored less than 40% in the course evaluation criteria and live lecture attendance is less than 50%, then a CoP will be awarded.
  • Certificate of Completion (CoC): If a learner has scored within the range of 40% to 70% in the course evaluation criteria and has atleast 50% live lecture attendance, then a CoC will be awarded.
  • Certificate of Achievement (CoA): If a learner has scored greater than 70% in the course evaluation criteria and has atleast 50% live lecture attendance, then a CoA will be awarded.

Meet the Mentor(s)

FAQs

Please take a look at the most frequently asked questions, you might have your query answered here.

Undergraduates, postgraduates and working professionals with limited work experience, basic programming knowledge (Python) and a foundational understanding of Mathematics, Algebra, Calculus, Probability and Statistics, can apply for this programme.
1. Click on the "Buy Now" button.
2. Login with your TCS iON Digital Learning Hub credentials or sign up as a new user.
3. After login/sign up, you will be asked to share your details required to complete your purchase. This includes your name, email ID, phone number and other details.
4. On successful submission of the form, you need to proceed to make the payment by clicking on "Click to Pay".
5. You will receive a successful purchase message on your registered email ID/mobile number.
The course has been meticulously designed for both freshers/individuals pursuing Bachelor's/Master's degree and working professionals, with emphasis on hands-on experience and practical exposure to cutting-edge tools and technologies. The learners will get access to Live Lectures, hands-on implementation (based on the specialisation path chosen), assignments, quizzes, industry use cases and mentorship from renowned industry and IIT Dhanbad faculty members. Learners will also get an opportunity to showcase their skills to potential recruiters.
In case a learner misses a Live Lecture, he/she will be provided access under Live Lecture learning component, to view the recorded version of the session within and for a specified time frame. Also, the learning content will be accessible until the end of the programme, with an additional one month buffer period after completion.
The learners would need the following infrastructure to access the learning platform:
a. Device: A standard Desktop/Laptop/Tablet/Smartphone with camera and mic
b. Internet: A regular broadband/Wi-Fi connection or a mobile 4G connection
A learner can conveniently connect among the members at an appointed time for group work, outside the live classes. Learners can also use the platform 24x7 to engage and learn from their peers using our digital discussion rooms available under the course of the programme.
The duration of this programme is 3 months, including hands-on and doubt clearing sessions. There will be 2 sessions per week and the duration of each session will be 90 minutes. The Live Lectures are planned every week in the evening from 7:00 PM to 8:30 PM.
Learners will be awarded a co-branded digital certificate upon successful completion of the programme. The course evaluation components are modular quizzes, assignments and attendance.
a. Certificate of Participation (CoP): If a learner has scored less than 40% in the course evaluation criteria and live lecture attendance is less than 50%, then a CoP will be awarded.
b. Certificate of Completion (CoC): If a learner has scored within the range of 40% to 70% in the course evaluation criteria and has atleast 50% live lecture attendance, then a CoC will be awarded.
c. Certificate of Achievement (CoA): If a learner has scored greater than 70% in the course evaluation criteria and has atleast 50% live lecture attendance, then a CoA will be awarded.
Learners will be awarded a co-branded digital certificate upon successful completion of the programme.
Attendance is mandatory and we highly encourage you to attend the sessions to gain maximum benefits from the content and discussions. But in some exceptional scenarios like lecture reschedule, full attendance will be given to the learners for those sessions.
Please note that the programme fees is not refundable under any circumstances. Also, the programme fee is not transferable for any other course on the TCS iON platform or for any other purpose. We will be with you at every step for your upskilling and professional growth needs.
Yes. Learners can use the India Toll Free helpline - 1800 266 6282 or email us at info.tcsionhub@tcs.com

This price includes 3 additional preparatory courses which are designed to enhance the learning experience and provide additional resources for your success.