AI admissions · Nirman Vihar
Call 1800 102 0418WhatsAppGet course details
Enquire now
Menu

TGC Animation & Multimedia · Nirman Vihar

Artificial Intelligence & AI Course in East Delhi

Learn how machines use data, algorithms and models to classify, predict and automate tasks through practical AI training at TGC East Delhi.

TEXTDATAIMAGE
MODEL / PROCESSAI
PREDICTCLASSIFYAUTOMATE

INPUT → MODEL → PROCESS → OUTPUT / ACTION

Program length2 months
Training modeClassroom / Online
Core stackPython / ML / Neural Nets
Project work2 named projects + final
Career supportPlacement assistance
01 — A simple definition

What is Artificial Intelligence?

Artificial Intelligence is the field of building computer systems that can learn from examples, detect patterns and perform tasks such as prediction, classification, text analysis and automation.

02 — System view

How does an AI system work?

A clear route from an input to a tested result.

01INPUT

Text, images or data

02PREPARE

Clean and format

03MODEL

Learn a pattern

04TEST

Check performance

05ACTION

Predict or automate

03 — The field

From rules to learning systems

AI includes several connected approaches. This course starts with data and algorithms, moves through Machine Learning and neural networks, then applies them to prediction, classification, text and automation tasks.

01RULES
02MACHINE LEARNING
03NEURAL NETWORKS
04APPLIED AI
04 — Learning areas

What will you learn?

Every item below appears in TGC’s current AI course description or syllabus.

01

AI foundations

02

Python for AI

03

Data preparation

04

Machine Learning

05

Regression

06

Classification

07

Model testing

08

Neural networks

09

TensorFlow & Keras

10

Image and text tasks

11

NLP basics

12

AI automation

13

Recommendation systems

14

Ethical AI

15

Project presentation

MODEL TEST / TEACHING GRAPHIC
TRAINVALIDATEPREDICT
DATA → FEATURES → MODEL → SCORE
05 — Machine Learning

Build the learning layer of AI

Learn supervised and unsupervised learning, regression, classification, KNN, Decision Trees, Random Forest and model testing with Scikit-learn.

For a course centred more deeply on data preparation, statistics and predictive modelling, see the Data Science page.

View Data Science course ↗
06 — Applications

Move from a model to a working task

The syllabus applies AI to neural networks, image classification, sentiment analysis, chatbots, recommendation systems, forecasting and automation. Generative AI, LLM, RAG and agent topics are not presented here as course modules because they are not on the current syllabus.

APP / 01IMAGE CLASSIFICATIONINPUT → OUTPUT
APP / 02SENTIMENT ANALYSISINPUT → OUTPUT
APP / 03FAQ CHATBOTINPUT → OUTPUT
APP / 04RECOMMENDATIONINPUT → OUTPUT
APP / 05FORECASTINGINPUT → OUTPUT
APP / 06AUTOMATIONINPUT → OUTPUT
07 — Confirmed stack

AI tools you'll work with

The four core technologies named by TGC. Matplotlib and Seaborn also appear in the data preparation module.

PY

Python

AI programming

SK

Scikit-learn

Machine Learning

TF

TensorFlow

Neural networks

KR

Keras

Model building

08 — Practical work

Learn Artificial Intelligence through projects

The published course names two portfolio projects and a final end-to-end project. Students prepare data, build logic or a model, test results and document their work.

Ask about current project briefs ↗
01Customer Churn Prediction ModelClassification · Scikit-learn · model testing
02FAQ Automation ChatbotPython · rule-based or NLP logic · response testing
03Final AI ProjectPlanning · development · tuning · presentation
09 — Student work

Project records need proof

TGC publishes the project briefs, but the centre has not supplied cleared student names, screenshots or results for this page. Named project cards will be added only after those records are approved.

Ask to see current work ↗
AI_PROJECT.LOGCENTRE RECORD PENDING
Problem
Shown with approved brief
Dataset
Private fields removed
Model
Named only when confirmed
Result
No score without project file
DOCUMENT → TEST → PRESENT
10 — Course curriculum

Artificial Intelligence course curriculum

These six modules follow TGC’s current published AI syllabus. Batch order may differ.

01Introduction to Artificial Intelligence+

AI, Machine Learning and Deep Learning; real uses; Python basics; development setup; data and algorithms.

02Data Handling and Preprocessing+

Data collection, cleaning, missing values, outliers, feature selection, scaling, Matplotlib, Seaborn and train/test splits.

03Machine Learning Fundamentals+

Supervised and unsupervised learning, regression, classification, KNN, Decision Trees, Random Forest, Scikit-learn and model testing.

04Deep Learning and Neural Networks+

Layers, activation functions, optimisation, TensorFlow, Keras, a simple neural network, image classification and text-based tasks.

05AI Automation and Applications+

Chatbots, recommendation systems, NLP sentiment analysis, forecasting, creative applications and ethical AI.

06Final Project and Portfolio+

Problem planning, dataset choice, model development, testing, tuning, documentation, presentation and a GitHub-ready project record.

11 — Course clarity

AI or Data Science — which course fits?

ARTIFICIAL INTELLIGENCE

Builds systems for prediction, classification, text tasks, neural networks and automation.

12 — Starting points

Who should join?

  • Beginners with basic computer knowledge
  • College students and graduates
  • Working professionals
  • People interested in AI or automation
  • Data and programming learners
  • Career changers
13 — Career routes

Career options after AI training

AI InternJunior AI DeveloperMachine Learning InternAutomation AssociateJunior Data AnalystAI Project Assistant

Entry routes depend on coding skill, project quality, current openings and employer requirements. Senior roles require more study and work history.

14 — Beginner route

Can beginners learn AI?

Yes. Basic computer knowledge is enough for the published program. Python begins in the first module, followed by data preparation, Machine Learning, neural networks and applications.

Coding is part of the course. Regular practice matters, especially when the syllabus moves from simple scripts to model building.

Discuss your starting level ↗
INPUT CHECKBIAS CHECKMODEL TESTHUMAN REVIEW
15 — Responsible use

Test before you trust an output

The syllabus includes ethical AI. Students should check source data, measure model performance, note limits, protect private data and keep human review in decisions that affect people.

16 — Trainers

Learn with TGC East Delhi AI trainers

Named AI trainer profiles are not published for the Nirman Vihar centre. Trainer assignment depends on the batch. Meet the assigned trainer and review the module plan before enrolment.

Book a trainer discussion ↗
17 — Career preparation

Prepare your AI profile

  • Module coding exercises
  • Two named portfolio projects
  • Final project documentation
  • GitHub-ready project records
  • Mock-interview practice
  • Placement assistance
WHY TGC EAST DELHI

Why TGC East Delhi?

Check the current Artificial Intelligence syllabus, assigned trainer, student work, batch plan and support at the real TGC East Delhi centre in Nirman Vihar before you join.

01

Real Nirman Vihar Centre

1st Floor, E-359, Vikas Marg, Nirman Vihar, Delhi – 110092

See the centre ↗
03

Student Project Work

Review published project examples and ask which outputs belong to the current course plan.

See student work ↗
04

Placement Assistance

Support may include portfolio or project review, résumé guidance, interview preparation and opportunity sharing. No job is guaranteed.

Read the support policy ↗
05

Published Student Reviews

Read centre-linked student feedback and use a visit to check whether the learning setup suits you.

Read reviews ↗
19 — TGC Nirman Vihar

Learn AI at TGC Nirman Vihar

Attend Artificial Intelligence classes at the TGC centre on Vikas Marg, near Nirman Vihar Metro Station in East Delhi.

TGC Animation & Multimedia
1st Floor, E-359, Vikas Marg
Nirman Vihar, Delhi – 110092
Get directions ↗Call TGC East Delhi ↗WhatsApp ↗View centre page ↗
20 — East Delhi

AI students from across East Delhi

The Nirman Vihar centre is reachable from Vikas Marg, the Blue Line and nearby neighbourhoods.

View all location guides ↗
21 — Student feedback

AI reviews from this centre are pending

No AI-specific Nirman Vihar review with a verified student identity was supplied for this page. General centre reviews remain on the homepage; course-specific feedback will appear here after the centre confirms it.

22 — Questions

AI course FAQs

Direct answers for learners comparing Artificial Intelligence classes and institutes in East Delhi.

What is the duration of the AI Course in East Delhi?+

TGC lists a 2-month course, including projects and practical sessions. Ask the Nirman Vihar team to confirm dates and class timings for your batch.

Who can join the Artificial Intelligence course?+

TGC lists students, working professionals and beginners interested in AI, automation or data analysis. Basic computer knowledge is enough to start.

Can beginners learn Artificial Intelligence?+

Yes. The current syllabus begins with AI and Python basics before Machine Learning, neural networks and applications.

Does the AI course require coding?+

Yes. Python is used for AI programming. Prior coding is not required because Python fundamentals are covered in the first module.

Which technologies are taught?+

The confirmed core stack is Python, Scikit-learn, TensorFlow and Keras. Matplotlib and Seaborn also appear in the data-preparation module.

Does the course include Machine Learning?+

Yes. The syllabus covers supervised and unsupervised learning, regression, classification, several algorithms and model testing.

Does the course include Generative AI, LLMs or AI agents?+

Those topics are not listed in the current published AI course syllabus. Ask admissions for the latest batch plan before enrolling.

What is the difference between Artificial Intelligence and Data Science?+

AI concentrates on systems that learn, predict or automate tasks. Data Science concentrates on preparing and studying data, finding patterns and building predictive models.

Will I work on practical AI projects?+

Yes. TGC lists a Customer Churn Prediction Model and an FAQ Automation Chatbot, plus module exercises and a final project.

Will my projects be part of a portfolio?+

TGC states that both named course projects are prepared as part of a GitHub-ready portfolio.

Does TGC East Delhi provide placement assistance?+

TGC provides placement assistance, profile support and mock-interview preparation. A job is not guaranteed.

Where is TGC East Delhi located?+

1st Floor, E-359, Vikas Marg, Nirman Vihar, Delhi – 110092.

Which metro station is closest?+

Nirman Vihar Metro Station on the Blue Line is the closest station.

Can I visit the centre before admission?+

Yes. Contact the centre to arrange counselling, check the lab and discuss the current batch.

Can I learn Artificial Intelligence after Class 12?+

The focused course may suit learners after Class 12 when the stated entry requirements fit. Discuss your computer and mathematics background with admissions before choosing the program.

What is the fee for the Artificial Intelligence course?+

The current fee depends on the course format, batch plan and payment option. Ask the Nirman Vihar team for written fee details.

What career options can AI training support?+

Possible starting routes include AI intern, junior Machine Learning work, automation assistant and data-related roles. The right route depends on course depth, project work and employer requirements.

24 — Admissions

Start learning Artificial Intelligence at TGC East Delhi

Ask about fees, the 2-month format, Python, Machine Learning, neural networks, projects, certification, placement assistance and a centre visit in Nirman Vihar.

Call 1800 102 0418 ↗WhatsApp TGC East Delhi ↗
By submitting, you agree to be contacted about your enquiry.