AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026
Natural Language Processing
Work with text classification, embeddings, language models and NLP applications.
Online + OfflineWeekdays + WeekendsRegular + Fast Track
22+years in training
20,000+learners across TGC
5classroom locations
Live onlinejoin from anywhere
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COURSE OVERVIEW
What this course
is built to do.
Build practical text systems for classification, semantic search, information extraction and transformer-based language applications.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
NLP EngineerLanguage AI AssociateMachine Learning EngineerText Analytics Developer
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You already know Python and basic machine learning
You want to work with text, search or language models
You need a deployable NLP portfolio project
YOUR LEARNING ARC
From guided foundation to finished work.
Prepare
Clean, label and inspect language data.
Model
Build classical NLP baselines and evaluate them.
Represent
Use embeddings, search and transformers.
Deliver
Deploy, test and document a language application.
INDUSTRY TASKS
Practise the work, not only the tool.
- Train a text or intent classifier
- Build semantic search over documents
- Deploy a transformer-based extraction service
PRO
LED
LED
YOUR TRAINING TEAM
Learn from experienced working professionals.
Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.
WHAT YOU WILL BE ABLE TO DO
Course outcomes
01
Prepare and model text data
A clean dataset, baseline model and documented label rules.
02
Build semantic retrieval
A tested embedding-based search application.
03
Use transformer models
A reviewed Hugging Face classification or extraction project.
04
Evaluate and deploy NLP systems
A working API with error review and model documentation.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
DETAILED COURSE FLOW
5 learning modules
Build and evaluate practical text systems for classification, search, extraction and language-model applications using modern Python libraries.
Text data and NLP foundations
Prepare language data and understand the methods behind common NLP tasks.
CORE TOPICS
- Text cleaning, tokenisation and normalisation
- Corpora, labels and annotation quality
- Word counts, n-grams and baseline features
- Train, validation and test splits
GUIDED PRACTICE
Prepare and inspect a real text dataset, then build a simple classification baseline.
MODULE DELIVERABLE
Text preparation and baseline notebook
Classical NLP and supervised learning
Use dependable baseline models before moving to neural language systems.
CORE TOPICS
- TF-IDF and feature engineering
- Classification and sequence labelling
- Sentiment, topic and intent tasks
- Precision, recall, F1 and error review
GUIDED PRACTICE
Train several classifiers and compare performance across user groups and text types.
MODULE DELIVERABLE
Classical NLP model report
Embeddings and semantic search
Represent meaning for similarity, clustering and retrieval applications.
CORE TOPICS
- Word and sentence embeddings
- Similarity, clustering and nearest-neighbour search
- Vector indexes and retrieval
- Search relevance and reranking basics
GUIDED PRACTICE
Build and test a semantic search system over a controlled document set.
MODULE DELIVERABLE
Semantic search application
Transformers and Hugging Face
Fine-tune and use transformer models for practical language tasks.
CORE TOPICS
- Attention and transformer architecture
- Tokenisers and pretrained models
- Fine-tuning and parameter-efficient methods
- Text generation and structured extraction
GUIDED PRACTICE
Fine-tune or configure a transformer for classification or information extraction.
MODULE DELIVERABLE
Transformer-based NLP project
Evaluation, deployment and capstone
Package a language application and document its quality, bias and use limits.
CORE TOPICS
- Segmented error analysis
- Bias, harmful output and data privacy
- API inference and response monitoring
- Model cards and project presentation
GUIDED PRACTICE
Deploy a text application and defend its data, testing, limitations and suitable use.
MODULE DELIVERABLE
Deployed NLP capstone
HOW THE TRAINING WORKS
Learn it. Apply it. Get it reviewed. Improve it.
Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.
Concept briefing
The trainer explains the principle, use case, limitations and the quality standard expected.
Live demonstration
A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.
Guided lab
Learners repeat the method with support, ask questions and correct problems during the session.
Applied assignment
The same method is used on a different brief so the learner must make independent decisions.
Review and revision
Work is checked against a rubric, revised after feedback and prepared for project presentation.
PROGRESS IS CHECKED THROUGHClass exercisesModule deliverablesProject reviewsFinal capstone presentation
PORTFOLIO WORK
Projects you can show
Guided practice brief
Plan, produce, test and present a finished piece with trainer feedback.
Individual application
Plan, produce, test and present a finished piece with trainer feedback.
Workflow build
Plan, produce, test and present a finished piece with trainer feedback.
Industry-style assignment
Plan, produce, test and present a finished piece with trainer feedback.
Quality review
Plan, produce, test and present a finished piece with trainer feedback.
Final capstone
Plan, produce, test and present a finished piece with trainer feedback.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
TOOLS COVERED
PythonHugging FacespaCyTransformers
Tool coverage may be updated when the industry changes. Core methods remain part of the course.COMMON QUESTIONS
Before you apply
Is this a generative AI course?
It covers the broader NLP foundation, embeddings and transformers required for many language-model applications.
＋How much Python is needed?
You should be comfortable with functions, data handling and basic machine-learning workflows.
＋Which libraries are used?
Guided work uses Python, scikit-learn, spaCy and Hugging Face according to the task.
＋Do I need coding experience?
No, unless the course level says otherwise. Your advisor will check the right starting level.
＋Are classes live or recorded?
Classes are trainer-led in the classroom or live online. Recordings may support revision but do not replace class.
＋Will I receive a certificate?
Yes. Course completion requires attendance, assignments and the final project.
＋Can working professionals join?
Yes. Weekday, weekend and selected fast-track schedules are available.
＋NEXT BATCH
Choose your course.
Choose your schedule.
Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.