- NEXT BATCH: 1 APRIL 2026
Master Generative AI Course in Chennai
Hands-on certification training in ChatGPT, OpenAI, and Google Gemini. Build real-world AI applications and automate workflows with 10+ years of expert guidance.
- Trainers with 10+ Years of Industry Experience
- Hands-On Real-Time AI Projects
- 90-Day Generative AI Training Program
- Online and Classroom Training Available
DURATION
90 Days
TIMINGS
Morning & Evening
TRAINING
Online & Classroom
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Our experts will help you choose the right path for your career growth.
Course Batch Details
What is Generative AI?
Generative AI is one of the fastest-growing areas of artificial intelligence. It refers to advanced AI systems that can create new content such as text, images, code, videos, and data insights using powerful machine learning models known as Large Language Models (LLMs).
Unlike traditional AI, which mainly analyzes existing data, Generative AI can produce original and human-like outputs. This makes it highly useful across different fields like marketing, software development, education, and data analysis.
Modern platforms such as ChatGPT, OpenAI models, and Google Gemini have transformed how businesses operate. They help automate repetitive tasks, improve decision-making, and enable the creation of AI-powered tools and applications.
Today, organizations across industries are integrating Generative AI into their workflows to increase productivity, reduce manual effort, and build innovative digital products. It is becoming an essential part of modern business and digital transformation.
Why Chennai is a Major AI Hub
Chennai has emerged as one of India’s leading technology centers, attracting global technology companies and AI startups. Major organizations have established large technology centers in the city. Companies actively hiring for Generative AI skills in Chennai include:
- Microsoft
- Amazon
- Wipro
- Zoho
- TCS
- Infosys
- Freshworks
These companies are actively hiring professionals skilled in Generative AI tools, Prompt Engineering, AI automation workflows, and AI application development.
"Chennai's tech ecosystem is rapidly evolving. The demand for AI talent is at an all-time high, especially in the SaaS and enterprise sectors."
Chennai Tech Hub
Industrial Insight 2026
Why VKNOWTECH AI Offers One of the Best
Generative AI Courses in Chennai
Expert Trainers
Trainers with 10+ years of experience in software development and enterprise technologies. Our lead trainer Jai Surya has worked with top companies like Amazon, Infosys, LogiGen, Justdial, and AI Walkers, contributing to AI implementation and enterprise automation projects.
Practical Learning
Hands-on training with modern AI tools such as ChatGPT, OpenAI, and Google Gemini. Every session is designed to give learners direct experience with the tools used in real business environments.
Real-World Projects
Implementation of real-world AI projects to gain practical industry experience. Learners build a portfolio of projects they can showcase to employers during job search.
Mentor Guidance
Instructor-led training with direct one-on-one mentor guidance throughout the learning process. Each learner receives personalized support based on their background and goals.
Flexible Training Options
Choose between flexible online and classroom training options to suit your schedule. Both morning and evening batches are available for working professionals and students.
Career Ready
Gain skills that are directly applicable in professional environments and modern businesses. The curriculum is aligned with current industry requirements and regularly updated.
Who Should Take This Best
Generative AI Course in Chennai?
The Generative AI training program at VKNOWTECH AI is designed for a
wide range of learners:
Students and Fresh Graduates
Build careers in AI, Data Science, or Software Development with early exposure to industry tools and real project experience.
Software Developers
Learn to integrate AI capabilities into applications using modern AI platforms, APIs, and automation tools.
Data Science Enthusiasts
Expand your knowledge by learning Generative AI models and intelligent automation systems.
Business Professionals
Improve productivity in marketing, customer support, and data analysis using AI technologies.
Entrepreneurs
Leverage AI to automate workflows and build intelligent solutions for your business ventures.
Beginners
Start your AI journey with structured training and guided practical exercises, even with no prior experience.
Generative AI Course Curriculum
The curriculum is designed to help learners understand both the foundations of artificial
intelligence and the practical implementation of Generative AI tools. The course follows a
structured learning path that begins with core AI concepts and gradually progresses toward
real-world applications and project development.
Module 1: Getting Started with Python
- Understanding Programming and Coding Basics
- Overview of Python Libraries, Modules, and Web Frameworks
- Exploring Different Flavors of Python
- What Makes Python Powerful? (Use Cases and Advantages)
- Comparing Python’s Syntax with Other Programming Languages
- Setting Up the Python Environment and IDE Installation
Module 2: Python Core Fundamentals
- Utilizing the print Statement and Code Comments
- Deep Dive into Python Data Types and Structures
- Keyword Fundamentals and Variable Declaration
- Type Casting and Conversions
- Handling Standard Input and Output
- Python Operators:
- Arithmetic and Assignment Operators
- Comparison and Logical Operators
- Identity and Membership Operators
- Advanced Output Formatting
Module 3: Control Flow and Logic
- Conditional Statements:
- Understanding Python Indentation Rules
- if, elif, and else constructs
- Nested Conditionals and Shorthand Syntax
- Real-world Conditional Examples
- Iterative Statements (Loops):
- The for Loop and while Loop Mechanics
- Nested Looping Structures
- Practical Examples of Iteration
- Jump Statements:
- Managing Loop Control with break, continue, and pass
Module 4: Advanced Python Data Structures
- String Manipulation: Object Basics, Splitting/Joining, Formatting, and Built-in Methods
- Mastering Lists: Core Concepts, List Methods, Implementing Stacks & Queues, and List Comprehensions
- Understanding Tuples: Creation, Built-in Functions, and Tuple Operations
- Working with Sets: Set Basics, Mathematical Set Operations, and Relevant Functions
- Dictionaries: Key-Value Mapping, Dictionary Functions, and Built-in Operations
Module 5: Functions & Modular Programming
- How to Define and Invoke Functions
- The return Statement vs. Standard Printing
- Managing Parameters and Arguments (Keyword & Arbitrary Arguments)
- Creating User-Defined and Nested Functions
- Practical, Real-World Function Applications
Module 6: Object-Oriented Programming (OOP) in Python
- Classes and Objects: Defining Classes, Instantiating Objects, and Real-World Modeling
- Exploring the __init__, self, and super() Keywords
- Inheritance Models: Single, Multiple, Multilevel, and Hierarchical Inheritance
- Polymorphism: Implementing Method Overloading and Overriding
- Encapsulation: Managing Public, Private, and Protected Access Modifiers
- Data Abstraction: Working with Abstract Base Classes (ABC) and Abstract Methods
Module 7: Numerical Computing with NumPy
- Introduction and Installation of NumPy
- Working with the N-dimensional Array (ndarray)
- Array Creation, Data Types, and Attributes
- Indexing, Slicing, and Advanced Indexing Techniques
- Array Broadcasting and Iteration
- Array Manipulation and Splitting
- Core NumPy Functions: Binary, String, Mathematical, Statistical, and Arithmetic Operations
- Sorting, Searching, Counting, and Byte Swapping
- Matrix Libraries and Linear Algebra Fundamentals
Module 8: Data Analysis with Pandas
- Pandas Setup and Architecture overview
- Understanding Pandas Series, DataFrames, and Panels
- Core Functionalities and Descriptive Statistics
- Data Reindexing, Iteration, and Sorting
- Handling and Cleaning Text Data
- Data Selection, Filtering, and Indexing
- Advanced Pandas Features: Window Functions, Date/Time Operations, Timedeltas, and Categorical Data
- File Input/Output (I/O) Tools and Basic Data Visualization via Pandas
Module 9: Data Visualization
- Introduction to Matplotlib
- Crafting Visual Narratives from Data
Module 10: Mathematical Foundations & Statistics
- Basic Statistics:
- Descriptive vs. Inferential Statistics
- Variable Types, Measurement Scales, and Sampling Techniques
- Frequency Distributions, Bar/Pie Charts, Box Plots, and Histograms
- Central Tendency (Mean, Median, Mode) and Dispersion (Variance, Standard Deviation)
- Outlier Detection, Skewness, Normal Curves, and Z-scores
- Probability Theory:
- Probability Basics, Addition, and Multiplication Rules
- Permutations and Combinations
- Discrete/Continuous Random Variables and Probability Distributions
- Advanced Statistics:
- Binomial and Normal Distributions
- Correlation Analysis (Pearson & Spearman)
- Central Limit Theorem and Confidence Intervals
- Hypothesis Testing (Null/Alternative Hypotheses, Type I & II Errors, One/Two-Tailed Tests)
Module 11: Machine Learning Foundations
- CPU vs. GPU architecture for Data Processing
- Supervised vs. Unsupervised Learning (Classification, Regression, Clustering)
- Model Evaluation Metrics and Understanding Errors
- Exploring ML Frameworks (Scikit-Learn, TensorFlow, Keras)
- Exploratory Data Analysis (EDA)
- The Bias-Variance Tradeoff
Module 12: Supervised Machine Learning Algorithms
- Linear Regression:
- Mathematical Core and Scratch Implementation
- Building Models with Scikit-Learn
- Calculating Errors: Mean Squared Error (MSE), Absolute Error
- Logistic Regression:
- Math and Scratch Implementation
- Scikit-Learn Integration
- Classification Metrics: Accuracy, Precision, Recall, F1-Score
- Decision Trees:
- Architecture (Roots, Internal Nodes, Leaves) and Splitting Criteria (Gini, Entropy, Info Gain)
- Algorithms (ID3, CART, C4.5/C5.0)
- Overfitting Prevention (Pre/Post Pruning)
- Handling Missing Values and Categorical Data
- Evaluating via Confusion Matrix and ROC/AUC curves
- Random Forests:
- Ensemble Learning (Bagging, Boosting, Stacking)
- Architecture, Bootstrapping, and Feature Randomness
- Out-of-bag (OOB) Estimation and Feature Importance
- Hyperparameter Tuning and Bias Mitigation
Module 13: Natural Language Processing (NLP)
- Core Terminology: Corpus, Tokens, and N-grams
- Tokenization Techniques (Whitespace, Regex)
- Text Normalization (Stemming vs. Lemmatization)
- Part-of-Speech (POS) Tagging
Module 14: Deep Dive into Transformers
- Embeddings: One-hot Encoding vs. Word Embeddings (Word2Vec, GloVe), Positional Embeddings, and Subword Tokenization (BPE).
- Encoder Architecture: Self-Attention Mechanisms, Layer Normalization, and Feed-Forward Networks.
- Decoder Architecture: Masked Self-Attention, Contextual Understanding, and Autoregressive Generation.
- The “Attention Is All You Need” Paper: Analyzing the 2017 breakthrough, overcoming RNN/LSTM limits, and understanding the foundation of modern models like BERT and GPT.
Module 15: Prompt Engineering
- Core Structure and Components of Effective Prompts
- Strategies: Zero-shot, Few-shot, and Chain-of-Thought Prompting
- Utilizing Prompt Templates and Variables
- Testing, Iteration, Best Practices, and Avoiding Common Pitfalls
Module 16: Building with LangChain
- Framework Overview, Installation, and Architecture (Models, Prompts, Chains, Agents)
- Text Processing: Summarization, Sentiment Analysis, Translation, and Content Generation
- Memory Management: Buffer, Summary, Window, and Entity Memory
- LLM Chains: Sequential, Router, and MapReduce Chains
- RAG & Question-Answering: Vector Stores, Embeddings, Document Splitting, and Context Citing
- Chatbot Development: Conversation Flow, Persona Customization, and Fallback Handling
- AI Agents: ReAct Agents, Tool Integration, and State Management
- Evaluating Responses, A/B Testing, and Cost Optimization
Module 17: Exploring Large Language Models (LLMs)
- Detailed breakdown of API structures, costs, limits, pros/cons, and Fine-Tuning for:
- OpenAI Models
- Meta Llama
- Anthropic Claude
- DeepSeek
Module 18: Local LLMs & Deployment (OLLAMA)
- Downloading and Running Local Models
- Environment Setup, Tokenizers, and GPU Configuration
- Terminal Usage, CLI Prompts, and Tuning Parameters (Temperature, Top-p)
- Python/Transformer API Integration
- Performance Optimization and Model Quantization
- Deployment Best Practices: Error Logging, API Security, Scaling, and Production Considerations
Tools and Technologies Covered in the Training
Real-World Generative AI Projects
Instead of focusing only on theory, students gain real experience by building AI-
powered applications during the course. Projects include:
- PROJECT 1
AI Content Generation System
Build systems that automatically generate articles, summaries, and marketing content using Generative AI tools.
- TECHNOLOGIES USED
- PROJECT 2
AI Chatbot Development
Create conversational AI chatbots that can answer user queries and assist customers using modern AI models.
- TECHNOLOGIES USED
- PROJECT 3
AI Automation Workflows
Explore how AI tools can automate repetitive business tasks and improve operational efficiency.
- TECHNOLOGIES USED
- PROJECT 4
AI Knowledge Assistants
Build AI assistants that can analyze information, summarize data, and provide intelligent insights using RAG architecture.
- TECHNOLOGIES USED
Learn from Industry
Expert with 10+ Years of Experience
At VKNOWTECH AI, the Generative AI Course in Chennai is led by Jai Surya, an AI professional with 10+ years of experience in building real-world AI and machine learning solutions.
He has worked with top companies like Amazon, Infosys, LogiGen, Justdial, and AI Walkers, contributing to AI implementation and enterprise automation projects.
Jai Surya brings strong practical expertise in Generative AI, helping learners understand how AI is used in real business environments to automate workflows and build intelligent applications.
Trainer Highlights
- 10+ years of AI and Machine Learning industry experience
- Expertise in Generative AI and Prompt Engineering
- One-on-one mentorship and guidance throughout the course
- Worked with top MNCs including Amazon, Infosys, and LogiGen
- Project-based learning approach focused on real business problems
Generative AI Certification Training in Chennai
The Generative AI Certification Training in Chennai offered by VKNOWTECH AI is designed to help learners build practical expertise in modern artificial intelligence technologies while earning an industry-recognized certification.
This certification program focuses on both conceptual understanding and practical implementation of Generative AI tools and technologies used by businesses today.
Skills You Will Develop
- Fundamentals of Generative AI and AI systems
- Prompt engineering techniques for AI models
- Developing real-world projects using GenAI
- Working with modern AI tools and platforms
- Building AI-powered applications and workflows
After successfully completing the training program, learners receive a Generative AI Certification from VKNOWTECH AI, which validates their understanding of AI technologies and is recognized by hiring companies across Chennai and Bangalore.
Online and Classroom Generative AI Training
in Chennai
Online Generative AI Training
Live instructor-led sessions where students can interact with trainers in real time. Ideal for working professionals and remote learners.
- Live training from experienced instructors
- Interactive discussions and Q&A sessions
- Hands-on practice with AI tools
- Real-world project guidance
Classroom Generative AI Training
In-person learning at our Chennai training center. Interact directly with trainers and peers in a collaborative, guided environment.
- Direct interaction with trainers and peers
- Collaborative group exercises
- Guided practice in a lab environment
- Face-to-face mentorship
Career Opportunities After Completing a
Generative AI Course
Completing a Generative AI Course in Chennai can open the door to a wide
range of high-paying technology roles. Many technology companies and
startups in Chennai are actively hiring professionals who have expertise in large
language models (LLMs), Prompt Engineering, and AI-driven automation
systems.
Industries Hiring AI Professionals
- Software Development
- Customer Support Systems
- Content Automation
- Digital Marketing
- Data Science and Analytics
- Business Process Automation
Industries Hiring AI Professionals
Generative AI Engineer
Design and build AI-powered applications using LLMs, APIs, and modern AI frameworks.
Prompt Engineer
Develop and optimize structured prompts to improve the accuracy and performance of AI models
AI Automation Specialist
Implement AI-driven workflows to automate repetitive business tasks
AI Content Strategist
Use Generative AI tools to create high-quality content, marketing materials, and digital assets
AI Solutions Architect
Design enterprise-level AI systems that integrate Generative AI technologies into business operations
Generative AI Salary Expectations
in Chennai
The salary for Generative AI professionals in Chennai depends on factors such
as experience, technical skills, and the specific job role. Due to the high demand
for AI expertise, salaries in this field are often higher than traditional software
roles.
Generative AI Course
Fees in Chennai
At VKNOWTECH AI, we aim to provide high-quality Generative AI training at an affordable and competitive fee structure, ensuring access to industry-relevant AI education without financial barriers.
What the Course Fee Includes
- Instructor-led training for 90 days
- Interactive practical sessions
- Hands-on real-world AI projects
- One-on-one project guidance from Jai Surya
- Industry-recognized Generative AI certification
- Real-world enterprise insights and case studies
Get Fee Details
CALL OR WHATSAPP
+91 95735 29800
admin@vknowtech.ai
ENROLL FOR FREE DEMO
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Student Testimonials
Why Students Choose VKNOWTECH AI
Trainers with 10+ years of industry experience
Flexible online and classroom options
Hands-on training using ChatGPT and Gemini
Interactive mentor-led environment
Real-world AI project implementation
Frequently Asked Questions
What is a Generative AI course?
A Generative AI course teaches how artificial intelligence systems create content such as text, images, and code using advanced machine learning models. These programs typically cover large language models, prompt engineering, AI automation, and real-world AI applications.
What is the duration of the Generative AI course in Chennai?
The Generative AI training program at VKNOWTECH AI runs for 90 days, combining theoretical learning with practical AI project implementation. Both morning and evening batches are available.
What are the fees for the Generative AI course in Chennai?
Course fees vary based on the training format and curriculum depth. Typically, course fees range between Rs.15,000 and Rs.50,000 depending on the institute. Contact VKNOWTECH AI directly at +91 95735 29800 or admin@vknowtech.ai for the exact fee structure.
Can beginners learn Generative AI?
Yes. Beginners can start learning Generative AI even without advanced technical knowledge. The course begins with fundamental AI concepts and gradually introduces tools such as ChatGPT and prompt engineering techniques.
Is Generative AI a good career option?
Yes. Generative AI is currently one of the fastest-growing technology fields, and professionals with AI skills are in high demand across industries such as software development, marketing automation, and data science.
What tools will I learn in this Generative AI course?
The course covers ChatGPT, OpenAI platforms, Google Gemini, LangChain, Prompt Engineering frameworks, NumPy, Pandas, Scikit-Learn, and TensorFlow.
Are online Generative AI classes available in Chennai?
Yes. VKNOWTECH AI offers both online and classroom-based Generative AI training. Online batches are live instructor-led sessions, not pre-recorded videos.
What job roles can I get after completing this course?
Common career roles include Generative AI Engineer, Prompt Engineer, AI Developer, Machine Learning Engineer, and AI Automation Specialist.
Is certification provided after completing the course?
Yes. Learners receive a Generative AI Certification from VKNOWTECH AI upon successfully completing the training program. This certification validates practical skills in Generative AI technologies.
Ready to Lead the AI Revolution?
Join the most comprehensive Generative AI course in Chennai and transform
your career with real-time projects and expert mentorship.
- ENROLL FOR FREE DEMO
- Visit vknowtech.ai
-
WhatsApp
+91 90100 91700
- CALL OR WHATSAPP
- +91 90100 91700
- +91 95735 29800
- admin@vknowtech.ai
- NEXT BATCH
- 20 May 2026 – Free Demo Session
- TRAINING LOCATION
- Online and Classroom – Chennai
VKNOWTECH AI provides industry-oriented training programs designed to help students gain practical knowledge in
emerging technologies such as Generative AI. Our expert trainers, hands-on projects, and structured learning approach
help learners build the skills needed to succeed in today’s competitive technology industry.
