Description

Course Name: Professional Diploma in Natural Language Processing Fundamentals

Global Occupational Skill Standard – GOSS ID: GOSS/PD-AID-NLP-022

Eligibility: 10+2 or equivalent

Language Type: English

Course Type: Self-Paced Online Learning

Objective: The Professional Diploma in Natural Language Processing Fundamentals aims to equip learners with the knowledge and practical skills required to understand and apply NLP concepts for language-based AI applications. The course focuses on text processing, language analysis, machine learning approaches, sentiment analysis, and real-world NLP applications to develop intelligent language processing solutions.

Duration: 6 Months / 370 Hours

Steps to become a GSDCI Certified Professional:

Step 1: Select your Course you want to pursue.

Step 2: Click on get Enroll Now tab, new pop up window will open.

Step 3: Click on pay Course fee, you will be redirected to billing details page.

Step 4: Fill your details and click on pay course fee, you will be redirected to payment gateway, pay fee by any available options like Card (Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 5: You will get Login Credentials of Online E-Books and Online assessment link on your email id, within 48 hrs of payment.

Step 6: After completion of the online assessment, the Digital(PDF) copy of your Diploma & Marksheet will be sent to your registered email ID within 7 days.

Course Modules:

Module 1: Fundamentals of Natural Language Processing: Introduction to Natural Language Processing, History and Evolution of NLP, Relationship Between AI Machine Learning and NLP, NLP Concepts and Terminology, Applications of NLP Across Industries, Types of Natural Language Data, NLP Pipeline and Workflow, Challenges in Language Processing, NLP Tools and Technologies, Future Trends in Natural Language Processing.

Module 2: Text Processing and Linguistic Analysis: Text Data Collection Techniques, Text Cleaning and Preprocessing, Tokenization Techniques, Stop Word Removal, Stemming and Lemmatization, Part-of-Speech Tagging, Named Entity Recognition, Syntax and Semantic Analysis, Text Representation Methods, Feature Extraction Techniques.

Module 3: Machine Learning for NLP: Introduction to Machine Learning in NLP, Text Classification Techniques, Sentiment Analysis, Document Classification, Spam Detection Systems, Topic Modeling, Language Modeling Concepts, Word Embeddings, Text Similarity Analysis, NLP Model Evaluation Techniques.

Module 4: Deep Learning and Advanced NLP Techniques: Introduction to Deep Learning for NLP, Artificial Neural Networks, Recurrent Neural Networks, Long Short-Term Memory Networks, Convolutional Neural Networks for Text, Transformer Architecture, Attention Mechanism, Transfer Learning in NLP, Large Language Models, Generative AI Applications in NLP.

Module 5: NLP Tools, Frameworks and Applications: Python for NLP, Natural Language Toolkit (NLTK), spaCy Framework, Hugging Face NLP Tools, NLP Model Development, Chatbot Development, Machine Translation Systems, Text Summarization, Speech and Voice Processing, Industry Applications of NLP.

Module 6: NLP Deployment, Ethics and Capstone Project: NLP Application Development, NLP Model Deployment Strategies, Cloud-Based NLP Services, NLP API Integration, NLP Security and Privacy, Bias and Ethical Issues in NLP, NLP Performance Optimization, Real-World NLP Case Studies, Capstone NLP Project Development, Final Project Presentation and Evaluation.

GSDCI Online Assessment Detail:

• Duration- 120 minutes.
• Number of Questions- 60.
• Number of Questions from each module: 10.
• Language: English.
• Exam Type: Multiple Choice Questions.
• Maximum Marks- 600, Passing Marks Above 40%.
• There is no negative marking in any module.

Benefits of the Professional Diploma

1. Globally Recognized Professional Diploma – Earn a professionally designed diploma that enhances your profile and demonstrates industry-relevant knowledge. Widely valued by employers, organizations, and institutions across multiple sectors.

2. Quality Learning with ISO-Certified Standards – Our training programs are developed under ISO-certified quality management practices, ensuring a structured, consistent, and high-quality learning experience.

3. Enhanced Career Opportunities – Strengthen your resume, improve your professional skills, and increase your potential for employment, career advancement, and new job opportunities.

4. Issued by a Non-Profit Skill Development Organization – The diploma is awarded by a mission-driven organization dedicated to promoting skill development, vocational education, and lifelong learning.

5. Comprehensive Learning Resources – Access quality study materials, e-books, practice assessments, mock tests, and learner support to help you successfully complete the program.

6. Secure Online Verification – Every diploma and marksheet is issued with a unique Enrolment ID and QR Code, enabling employers, institutions, and other stakeholders to instantly verify the authenticity of your credential online.

7. Lifetime Validity – The Professional Diploma is issued with lifetime validity and does not require periodic renewal, allowing you to showcase your achievement throughout your career.

8. Flexible Self-Paced Learning – Learn anytime and anywhere at your own pace, making it easy to balance your studies with work, business, or personal commitments.

9. Industry-Relevant Curriculum – The curriculum is designed to focus on practical knowledge, current industry trends, and real-world applications to improve workplace readiness.

10. Skill-Based Professional Qualification – Demonstrates your commitment to continuous professional development and validates your practical knowledge and skills in the subject area.

Job Opportunities after Professional Diploma in Natural Language Processing Fundamentals

Graduates of this program gain practical knowledge in natural language processing concepts, text processing, language models, machine learning applications, generative AI technologies, conversational AI, sentiment analysis, text analytics, and AI-based language solutions, preparing them for roles in artificial intelligence, data analytics, automation, and technology-driven industries.

Key Career Options: NLP Associate, Natural Language Processing Specialist, AI Application Developer, Junior Machine Learning Engineer, Data Analyst with NLP Skills, Conversational AI Developer, Text Analytics Specialist, AI Chatbot Developer, Generative AI Specialist, Prompt Engineer, AI Research Assistant, AI Solutions Consultant, Freelance AI Specialist.

Salary Range (India):
Entry-level: ₹3–6 LPA
Mid-level: ₹6–12 LPA
Senior-level: ₹12–25+ LPA (higher with advanced NLP expertise, machine learning knowledge, programming skills, industry experience, and specialized AI projects)

Industries Hiring Graduates: Information Technology Companies, Software Development Firms, Artificial Intelligence Companies, Data Analytics Organizations, Healthcare Technology, Banking & Finance, E-commerce Platforms, Education Technology, Research Organizations, Digital Marketing Agencies, and Consulting Firms.

Skills Developed: Natural language processing fundamentals, text data processing, language model concepts, machine learning applications, generative AI tools, sentiment analysis, text classification, chatbot development basics, conversational AI techniques, data analysis, AI solution implementation, programming fundamentals, and problem-solving skills.

Graduates can progress to roles like NLP Engineer, Machine Learning Specialist, Conversational AI Architect, Generative AI Consultant, AI Solutions Developer, or start their own AI-based language technology services with industry experience, advanced certifications, and practical project expertise.