ABOUT THE PROGRAM

Advanced Gen AI Certification Course in Chennai

Generative AI with Live Training Overview

AI hasn't just changed how software gets built, it has changed who can build it. Generative AI is already writing code, drafting content, summarizing data, and powering the chatbots and copilots in almost every product today. Our Advanced Gen AI Certification Course in Chennai is built around that shift, so you learn how Generative AI is actually used in the real world, not just in theory.

You learn through live, instructor-led training with industry experts, available online and in the classroom. It is not a watered-down course. You get hands-on practice with Prompt Engineering, Large Language Models (LLMs), RAG pipelines, and AI Agents, the same tools that run real products behind the scenes.

A course is only as good as what it gets you afterward, so placement support is built in. You start with the fundamentals, move into real-time project work and an internship, and finish with a portfolio and a certification to show for it, not just a completion certificate.

Program Overview

Live Online classes with lifetime recording

Session taken by industrial expert

24/7 Mentor Support

Placement support

Portfolio creation

Mock interview with HR

Resume analyze

Test series for practice

Market Overview

Generative AI Engineer Salary & Career Opportunities in India

A Generative AI Engineer in India earns around ₹8–10 Lakh Per Annum (LPA) on average, and pay rises quickly with hands-on skills in LLMs, RAG and AI agents. IT services firms, product companies and startups are all hiring for these roles.

Entry Level (0–2 years experience)

Junior Gen AI Developer, Prompt Engineer

₹5L – ₹12L/yr

Mid-Level (3–5 years experience)

Gen AI Engineer, LLM Application Developer

₹12L – ₹25L/yr

Senior-Level (6+ years experience)

Senior Gen AI Engineer, AI Architect

₹25L – ₹50L/yr

Top roles after this course: Generative AI Engineer, Prompt Engineer, LLM Developer, AI Agent Developer and NLP Engineer.

Generative AI Engineer Salary Trends and Market Overview in India
Eligibility Criteria

Who Can Enroll in This Generative AI Training?

Our Generative AI training in Chennai is open to learners from many backgrounds. You might be starting your career, switching fields, or already working in tech and want to add AI skills. Find the profile below that sounds most like you, and you will see where you fit in.

Students & Fresh Graduates

Great Start

Tap to flip

Students & Fresh Graduates

  • No data science background needed, just curiosity and a willingness to learn. Start your career with in-demand Generative AI skills, real-time projects and placement support.

Working Professionals

Level Up

Tap to flip

Working Professionals

  • Working in software development, QA, data analysis or support? Add Generative AI to your skill set and move into AI-driven roles without starting over.

Developers & Tech Enthusiasts

Build Smart

Tap to flip

Developers & Tech Enthusiasts

  • Already comfortable with code? Go beyond basic scripting into Prompt Engineering, LLM apps, RAG pipelines and AI Agents, and become the go-to person for AI features on your team.

Entrepreneurs & Business Owners

Grow Fast

Tap to flip

Entrepreneurs & Business Owners

  • Run a business and want more from it? Learn to automate workflows, build AI-powered tools and cut costs with hands-on Generative AI skills.

Eligible Roles

15 career paths you unlock after this course

Generative AI Engineer
Prompt Engineer
AI/ML Engineer
LLM Application Developer
AI Solutions Architect
Data Scientist
AI Product Manager
Conversational AI Developer
MLOps / LLMOps Engineer
AI Research Associate
RAG / AI Agent Developer
AI Consultant
Computer Vision Engineer
AI Automation Specialist
Startup Founder / Entrepreneur
What You'll Learn

Course Curriculum

Your Complete Roadmap to Generative AI Mastery

20 industry-focused modules designed from basics to advanced strategies, including LLMs, RAG, AI agents and real-world applications.

Introduction to Artificial Intelligence
Machine Learning vs Deep Learning vs Generative AI
Supervised, Unsupervised & Reinforcement Learning Basics
Neural Networks Explained Simply
How Generative Models Actually Work
Real-World Applications of GenAI
Ethics & Responsible AI Use
Python Fundamentals for AI Development
Working with Data Structures & Functions
NumPy & Pandas Essentials
Working with APIs & JSON
Virtual Environments & Package Management
Debugging & Best Practices
What is a Large Language Model
Transformer Architecture Explained
Tokens, Context Windows & Embeddings
Open-Source vs Closed-Source Models
Comparing GPT, Claude, Gemini & Llama
Model Limitations & Hallucinations
Prompt Design Fundamentals
Zero-Shot, Few-Shot & Chain-of-Thought Prompting
System Prompts vs User Prompts
Prompt Templates & Reusability
Handling Ambiguity & Edge Cases
Prompt Optimization Techniques
Evaluating Prompt Performance
OpenAI API Fundamentals
Anthropic Claude API
Google Gemini API
Streaming Responses & Function Calling
Rate Limits, Cost & Token Management
Error Handling & Retries
Understanding Text Embeddings
Semantic Search Fundamentals
Vector Databases: Pinecone, Chroma, Weaviate
Similarity Search & Distance Metrics
Chunking Strategies for Documents
Indexing Large Document Sets
What is RAG & Why It Matters
Building a Basic RAG Pipeline
Document Loaders & Text Splitters
Retriever & Ranking Strategies
Improving RAG Accuracy
Evaluating RAG Systems
Common RAG Pitfalls & Fixes
Introduction to LangChain
Chains, Tools & Memory
Introduction to LlamaIndex
Building Q&A Applications
Connecting LLMs to External Data
Debugging Chains & Pipelines
What Are AI Agents
Agent Architectures & Planning
Tool Use & Function Calling in Agents
Multi-Agent Systems
Building an Autonomous Task Agent
Agent Frameworks: LangGraph, CrewAI, AutoGen
Guardrails for Agent Behaviour
When to Fine-Tune vs Prompt Engineer
Fine-Tuning Open-Source Models
LoRA & Parameter-Efficient Fine-Tuning
Preparing Custom Training Datasets
Evaluating Fine-Tuned Models
Cost & Infrastructure Considerations
AI-Powered Text Generation
AI Image Generation: Midjourney, DALL-E, Stable Diffusion
AI Video & Audio Generation Tools
Prompting for Creative Outputs
Copyright & Usage Considerations
AI Coding Assistants: GitHub Copilot, Cursor, Claude Code
Code Generation & Refactoring with AI
AI-Assisted Debugging
Building AI-Powered Developer Tools
Best Practices for AI-Generated Code
Designing Conversational Flows
Context Management & Memory
Multi-Turn Conversation Handling
Integrating Chatbots into Websites & Apps
Handling Sensitive & Out-of-Scope Queries
Introduction to MCP
Connecting LLMs to External Tools & Data Sources
Building Custom MCP Servers
Real-World Tool-Calling Use Cases
Full-Stack Basics for AI Apps
Building AI Features with Next.js/React
Backend Integration with LLM APIs
Handling Async Responses & Streaming UI
Deploying AI-Powered Web Apps
Deploying Models on AWS, Azure & GCP
Using Hugging Face for Model Hosting
Containerizing AI Applications with Docker
Scaling Inference Workloads
Monitoring & Logging AI Systems
Introduction to MLOps & LLMOps
Version Control for Models & Prompts
CI/CD for AI Applications
Model Evaluation Pipelines
Cost Optimization at Scale
Bias & Fairness in AI Systems
Data Privacy & Compliance
Responsible AI Deployment Practices
Content Moderation & Guardrails
Understanding AI Regulations
GenAI in Marketing & Content Creation
GenAI in Customer Support
GenAI in Healthcare & Finance
GenAI for Business Automation
Building AI Solutions for Real Clients
End-to-End GenAI Project Build
Portfolio & GitHub Presentation
Resume Building for AI Roles
Mock Interviews & Technical Rounds
Placement Support & Career Guidance

Master Tools Used in Top Companies

Learn the most in-demand tools used by industry professionals.

Python

Python

TensorFlow

TensorFlow

PyTorch

PyTorch

Hugging Face

Hugging Face

LangChain

LangChain

OpenAI

OpenAI

Python

Python

TensorFlow

TensorFlow

PyTorch

PyTorch

Hugging Face

Hugging Face

LangChain

LangChain

OpenAI

OpenAI

LLaMA

LLaMA

FAISS

FAISS

ChromaDB

ChromaDB

Streamlit

Streamlit

Gradio

Gradio

Scikit-learn

Scikit-learn

LLaMA

LLaMA

FAISS

FAISS

ChromaDB

ChromaDB

Streamlit

Streamlit

Gradio

Gradio

Scikit-learn

Scikit-learn

Real-Time Generative AI Projects & Portfolio Building

Build 25+ real-time Generative AI projects, from RAG chatbots and AI agents to LLM apps deployed on the cloud. You finish with a portfolio that shows employers exactly what you can build.

AI Chatbot with Memory

RAG-Powered Document Q&A System

Custom LLM API Integration

AI Content Generation Tool

Vector Database Search Engine

AI Coding Assistant

AI Image Generation App

Voice-to-Text AI Assistant

AI Video Summarizer

Autonomous AI Agent

Multi-Agent Task Automation System

Fine-Tuned Domain-Specific Model

AI-Powered Customer Support Bot

AI Chatbot with Memory

RAG-Powered Document Q&A System

Custom LLM API Integration

AI Content Generation Tool

Vector Database Search Engine

AI Coding Assistant

AI Image Generation App

Voice-to-Text AI Assistant

AI Video Summarizer

Autonomous AI Agent

Multi-Agent Task Automation System

Fine-Tuned Domain-Specific Model

AI-Powered Customer Support Bot

AI Content Moderation System

AI Resume & Portfolio Analyzer

MCP Server for Tool Integration

Prompt Engineering Playground

AI App Deployment on Cloud

AI Study & Research Assistant

AI Travel & Itinerary Planner

AI Blog & SEO Content Writer

AI Data Analysis Dashboard

Multilingual AI Translator

AI Workflow Automation Tool

LLMOps Monitoring Dashboard

AI Video Script Generator

AI Content Moderation System

AI Resume & Portfolio Analyzer

MCP Server for Tool Integration

Prompt Engineering Playground

AI App Deployment on Cloud

AI Study & Research Assistant

AI Travel & Itinerary Planner

AI Blog & SEO Content Writer

AI Data Analysis Dashboard

Multilingual AI Translator

AI Workflow Automation Tool

LLMOps Monitoring Dashboard

AI Video Script Generator

Career Progression Plan

Transform your skills into a successful career with our proven learning and placement process.

Registration & ScreeningLive ClassesPractical ExperiencePlacement Support
Our Process

01. Registration and Screening Process

•Register with ₹5000 and attend the screening.

•If rejected, immediate refund of ₹5000.

•2 hrs demo class

•Assessment on classes

•360° resume analysis

02. Live Classes

•Join after selection by paying remaining fee.

•3 months (weekdays)

•5 months (weekends)

•Available in English or Tamil.

•Recordings + recruiter feedback included.

03. Practical Experience

•Minimum 10 real-world projects.

•Portfolio creation for showcasing skills.

•Mock interviews for job readiness.

04. Placement Support

•Placement assistance after course completion.

•Career guidance and job support.

•Continuous growth support.

Simple & Transparent Pricing

No hidden costs. Pay only for what matters in your career journey.

Fee Breakdown

Registration Fee

Non-Refundable*

₹5,000

₹10,000

Register Now

Tuition Fee

After selection

₹35,000

₹45,000

Terms & Conditions

  • Register with ₹5,000 (Non-Refundable)

  • Attend ZIA Initial Screening Process

  • Resume will be completely analyzed

  • Selected candidates join main classes

  • If we reject your profile in screening process, ₹5,000 is refundable.

  • Selected people will be moved to regular classes and enrich their journey with us.

Why Choose Our Program

Features
Our Program
Others
Industry-Ready Curriculum
✓
✕
Real-Time Live Projects
✓
✕
24/7 Expert Mentor Support
✓
✕
Modern Industry Tools
✓
✕
Portfolio That Gets You Hired
✓
✕
Placement-Focused Training
✓
✕
Mock Interviews with Industry Experts
✓
✕
Lifetime Access to Recordings
✓
✕
Practice Test Series
✓
✕
Instant Doubt Resolution
✓
✕
Regional Language Support
✓
✕