Generative AI Course in Chennai

825 Ratings

Master Generative AI Through Real-Time Projects and Hands-On Applications

Edubrights offers industry-focused Generative AI Training in Chennai designed for students, freshers, software professionals, data enthusiasts, business analysts, and AI innovators. Learn how to build intelligent AI-powered applications using cutting-edge Generative AI technologies that can create text, images, code, audio, and business solutions.

Gain practical experience with Large Language Models (LLMs), prompt engineering, ChatGPT, AI agents, retrieval-augmented generation (RAG), vector databases, AI automation, content generation, and enterprise AI projects through expert-led training and hands-on labs.

Why Choose Edubrights for Generative AI Training?

✅ Real-Time AI Projects & Industry Use Cases
✅ Live Instructor-Led Training by AI Experts
✅ Hands-On Experience with Leading AI Tools
✅ Prompt Engineering & LLM Development
✅ AI Agent and RAG Application Development
✅ Resume Building & Mock Interview Preparation
✅ Career Guidance & Job Assistance
✅ Flexible Online and Classroom Training Options

Build In-Demand AI Skills

Learn how organizations leverage Generative AI to automate tasks, improve productivity, generate content, build intelligent assistants, enhance customer experiences, and accelerate digital transformation. Our training combines practical implementation, AI development techniques, and industry best practices to help you become job-ready.

Start Your AI Journey Today

Join Edubrights' Generative AI Course in Chennai and gain the skills required to design, build, and deploy intelligent AI solutions for modern enterprises.

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₹25000

₹30000

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Case Studies and Projects

Hours of Training

20+

Placement Assurance

100%

Expert Support

Yes

Support & Access

Lifetime

Certification

Yes

Skill Level

All

Language

All

Course Objectives

1. What will you learn in the Generative AI course?

You will learn how to build AI-powered applications using Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, embeddings, vector databases, multimodal AI, and popular frameworks such as OpenAI APIs, LangChain, and Hugging Face.

2. How does this course prepare you for real-world AI development projects?

The course provides hands-on experience in developing AI chatbots, document search systems, intelligent assistants, content generation tools, AI-powered automation, enterprise knowledge bases, and production-ready Generative AI applications.

3. What practical skills will you develop during the training?

You will gain expertise in prompt engineering, LLM integration, RAG architecture, vector databases, AI agent development, API integration, model evaluation, AI application deployment, and responsible AI practices.

4. How will real-time projects improve your Generative AI skills?

You will work on practical projects involving AI chatbots, document Q&A systems, resume analyzers, content generators, customer support assistants, enterprise AI search engines, and intelligent workflow automation.

5. What career opportunities can you pursue after learning Generative AI?

This course prepares you for roles such as Generative AI Engineer, AI Developer, Machine Learning Engineer, LLM Engineer, AI Solutions Architect, Prompt Engineer, Data Scientist, and AI Application Developer.

Popular Techniques Covered in This Course

Prompt Engineering and Prompt Optimization

Large Language Models (LLMs)

Retrieval-Augmented Generation (RAG)

LangChain and LlamaIndex Frameworks

Vector Databases (FAISS, Pinecone, ChromaDB)

AI Agent Development and Workflow Automation

OpenAI API and Hugging Face Integration

Multimodal AI (Text, Image, Audio)

AI Model Evaluation, Fine-Tuning Concepts, and Guardrails

Deployment of AI Applications using Cloud Platforms

Get Hands-on Knowledge about Real-Time Projects

Project 1

Project 1: AI Customer Support Chatbot

Develop an intelligent chatbot capable of answering customer queries using LLMs, prompt engineering, RAG, and enterprise knowledge documents.

Project 2

Project 2: Enterprise Document Search Assistant

Build a document intelligence application that indexes PDFs, Word files, and knowledge bases using embeddings and vector databases for semantic search.

Project 3

Project 3: AI Resume Screening System

Create an AI-powered recruitment assistant that evaluates resumes, matches candidate skills with job descriptions, and generates hiring recommendations.

Project 4

Project 4: Content Generation Platform

Develop an application that generates blogs, marketing content, emails, product descriptions, and social media posts using Generative AI models.

Project 5

Project 5: AI Knowledge Management System

Build a secure enterprise knowledge assistant with document retrieval, question answering, summarization, and AI-powered search capabilities.

Key Features

Edubrights offers Generative AI Training in virtual mode with expert trainers. Here are the key features,

40 Hours Course Duration

100% Job Oriented Training

Industry Expert Faculties

Free Demo Class Available

Completed 500+ Batches

Certification Guidance

Curriculum

Module 1: Introduction to Artificial Intelligence and Generative AI

Fundamentals of Artificial Intelligence
Machine Learning vs Deep Learning
Understanding Generative AI
Evolution of Generative Models
Applications of Generative AI
Industry Use Cases

Module 2: Large Language Models (LLMs)

Introduction to Large Language Models
How LLMs Work
Transformer Architecture Basics
Tokens and Embeddings
Popular LLM Platforms
Understanding Model Capabilities

Module 3: Prompt Engineering Fundamentals

Introduction to Prompt Engineering
Prompt Design Principles
Zero-Shot Prompting
Few-Shot Prompting
Chain-of-Thought Prompting
Prompt Optimization Techniques

Module 4: Working with ChatGPT and AI Assistants

Introduction to ChatGPT
Conversational AI Applications
Content Generation
Business Automation Use Cases
AI-Powered Productivity Tools
Best Practices for AI Interaction

Module 5: AI Content Generation

Text Generation Techniques
Blog and Article Creation
Marketing Content Generation
Email and Documentation Generation
Content Personalization
AI Content Quality Evaluation

Module 6: Generative AI for Images and Media

Introduction to AI Image Generation
Text-to-Image Models
Image Prompt Engineering
AI Design Workflows
Image Editing and Enhancement
Creative AI Applications

Module 7: Retrieval-Augmented Generation (RAG)

Introduction to RAG
Knowledge Retrieval Concepts
Vector Databases
Embeddings and Similarity Search
Building RAG Applications
Enterprise Knowledge Assistants

Module 8: AI Agents and Autonomous Systems

Introduction to AI Agents
Agent Architectures
Multi-Agent Systems
Task Automation with AI Agents
Agent Workflows
Real-World Agent Applications

Module 9: Generative AI Application Development

AI Application Design
Integrating LLM APIs
Workflow Automation
Conversational Interfaces
Enterprise AI Solutions
Deployment Fundamentals

Module 10: Responsible AI and Ethics

AI Ethics Fundamentals
Bias and Fairness
Data Privacy Considerations
Responsible AI Practices
Security Risks in AI Systems
Governance and Compliance

Module 11: Enterprise Generative AI Use Cases

Customer Support Automation
Intelligent Document Processing
Content Automation
Knowledge Management Systems
AI-Powered Business Applications
Industry Case Studies

Module 12: Real-Time Projects

AI Chatbot Development
Enterprise Knowledge Assistant
AI Content Generator
AI-Powered Automation Workflow
Document Intelligence Solution
End-to-End Generative AI Project

Module 13: Deployment and Best Practices

AI Solution Deployment
Performance Optimization
Monitoring and Evaluation
Scaling AI Applications
Troubleshooting Techniques
Industry Best Practices

Module 14: Capstone Project

Project Planning
AI Solution Design
Development and Testing
Deployment Strategy
Project Presentation
Final Review and Assessment

Receive Training From Our Skilled and Effective Trainers

Experience in the Industry Gain knowledge from experts with practical Generative AI project experience in a variety of sectors.

Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture and cognizant employ trainers.

Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.

Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.

Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.

Professional Generative AI Certification

The Professional Generative AI Certification validates your expertise in building modern AI-powered applications using Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and cloud-based AI services.

Course FAQs

1. What is Generative AI?

Generative AI is a branch of artificial intelligence that creates new content such as text, images, code, audio, and videos using advanced machine learning models.

2. What are Large Language Models (LLMs)?

LLMs are AI models trained on massive datasets to understand and generate human-like text for various natural language tasks.

3. What is Prompt Engineering?

Prompt Engineering is the process of designing effective prompts to improve the quality, accuracy, and relevance of AI-generated responses.

4. What is Retrieval-Augmented Generation (RAG)?

RAG combines information retrieval with Large Language Models to generate accurate responses using external knowledge sources.

5. What is a Vector Database?

A vector database stores embeddings for semantic search, enabling AI applications to retrieve relevant information efficiently.

6. Which industries use Generative AI?

Healthcare, banking, software development, education, retail, legal services, manufacturing, finance, customer support, media, and enterprise organizations use Generative AI.

7. Is Generative AI suitable for enterprise applications?

Yes. Generative AI is widely used for enterprise automation, intelligent search, chatbots, content generation, analytics, and business process optimization.

8. Does the course include practical AI projects?

Yes. The course includes hands-on projects involving AI chatbots, document intelligence, AI assistants, automation, and enterprise AI applications.

9. Is Generative AI beginner-friendly?

Yes. The course starts with AI fundamentals and gradually progresses to advanced LLM development and enterprise AI implementation.

10. Why should professionals learn Generative AI?

Generative AI is one of the fastest-growing technologies and is transforming software development, business automation, and digital innovation across industries.

11. What skills will I gain from this course?

You will learn prompt engineering, LLM integration, AI application development, RAG implementation, vector databases, AI agents, cloud deployment, model evaluation, and AI automation.

12. Is Generative AI certification valuable?

Yes. Generative AI certification validates your AI development expertise and significantly improves career opportunities in artificial intelligence, machine learning, software engineering, and enterprise automation.