Certified Natural Language Processing (NLP) Engineer

6,500.00 3,250.00

50% Discount will end in

The Certified NLP Engineer course trains learners to develop AI-driven solutions for understanding, analyzing, and generating human language using NLP techniques and tools.

Description

Certification Name: Certified Natural Language Processing (NLP) Engineer

Global Occupational Skill Standard – GOSS ID: GOSS/CIT/CNLPE/V1

Duration: One Month

Eligibility: Graduation or Equivalent is required.

Objective: The Certified Natural Language Processing (NLP) Engineer course is designed to equip learners with the skills to design, develop, and implement NLP solutions that enable machines to understand, interpret, and generate human language. The course covers foundational concepts in linguistics, text preprocessing, tokenization, part-of-speech tagging, sentiment analysis, named entity recognition, and language modeling. Participants will gain hands-on experience with NLP frameworks, machine learning algorithms, and deep learning techniques using Python and libraries such as NLTK, spaCy, and Hugging Face Transformers.

Certification: Within 5 days after Completion of Online Assessment.

Get ready to join the Journey to become a GSDCI Certified Professional  – International Certification and Assessment Body.

Steps to become a GSDCI Certified Professional:

Step 1: Select your certification you want to pursue.

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

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

Step 4: Fill your details and click on pay certification 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 online assessment, you can download your Certificate Immediately.

Assessment Modules:

Module 1: Fundamentals of NLP and Linguistics: Introduction to Natural Language Processing and Its Applications, Basics of Linguistics for NLP (Syntax, Semantics, Morphology), Overview of NLP Challenges and Opportunities, Text Preprocessing Techniques (Tokenization, Lemmatization, Stemming), Understanding Corpora and Datasets, Key NLP Tools and Libraries (NLTK, SpaCy)

Module 2: Text Representation and Feature Engineering: Bag-of-Words and TF-IDF Representation, Word Embeddings (Word2Vec, GloVe, FastText), Contextual Embeddings (BERT, GPT), Feature Extraction Techniques for NLP, Handling Stopwords, Punctuation, and Noise, Dimensionality Reduction and Vectorization

Module 3: NLP Techniques and Algorithms: Part-of-Speech Tagging and Named Entity Recognition, Text Classification and Sentiment Analysis, Language Modeling and Sequence Prediction, Dependency Parsing and Syntax Trees, Topic Modeling and Clustering, Regular Expressions and Pattern Matching in NLP

Module 4: Deep Learning for NLP: Introduction to Neural Networks and Deep Learning Concepts, Recurrent Neural Networks (RNNs) and LSTM, Transformers and Attention Mechanisms, Pretrained Language Models and Fine-Tuning, Sequence-to-Sequence Models and Applications, Model Evaluation Metrics for NLP Tasks

Module 5: NLP System Development and Applications: Building Chatbots and Conversational AI, Machine Translation and Summarization, Information Retrieval and Question-Answering Systems, Text-to-Speech and Speech-to-Text Integration, Named Entity Recognition and Knowledge Extraction, Deployment of NLP Models in Real-World Applications

Module 6: Advanced NLP, Ethics, and Professional Practice: Handling Multi-Language and Low-Resource NLP, Bias and Fairness in NLP Systems, Optimization and Scalability of NLP Models, Evaluation and Monitoring in Production, Case Studies of Industry Applications, Career Opportunities and Emerging Trends in NLP

GSDCI Online Assessment Detail:

  • Duration- 60 minutes.
  • Number of Questions- 30.
  • Number of Questions from each module: 5.
  • Language: English.
  • Exam Type: Multiple Choice Questions.
  • Maximum Marks- 100, Passing Marks- 50%.
  • There is no negative marking in any module.
Marking System:
S.No. No. of Questions Marks Each Question Total Marks
1 10 5 50
2 5 4 20
3 5 3 15
4 5 2 10
5 5 1 5
30   100
How Students will be Graded:
S.No. Marks Grade
1 91-100 O (Outstanding)
2 81-90 A+ (Excellent)
3 71-80 A (Very Good)
4 61-70 B (Good)
5 50-60 P (Pass)
6  0-49 F (Fail)

 

Benefits of Certification:

🌍 1. Global Recognition & Credibility – Stand out worldwide with a certification that opens doors across borders. Trusted by employers, respected by institutions, and recognized in over 100 countries.

📜 2. Quality Assurance through ISO Certification – Certified to global ISO standards, our programs deliver excellence, consistency, and a benchmarked learning experience that speaks for itself.

💼 3. Career Advancement & Employability – Enhances your resume and increases chances of promotions or job offers.

🤝 4. Non-Profit Trust Factor – Certifications from non-profit organizations are mission-driven rather than profit-driven.

📚 5. Access to Verified Learning & Resources – Often includes e-books, mock tests, and online support without hidden costs.

🔍 6. Transparency & Online Verification – Certifications come with a unique Enrolment ID for easy online verification by employers and institutions.

⏳ 7. Lifetime or Long-Term Validity – Certifications usually have lifetime validity or long-term recognition, reducing the need for frequent renewals.

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