- NEXT BATCH: 1 APRIL 2026
Master Generative AI Course in Hyderabad
Hands-on certification training in ChatGPT, OpenAI, and 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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Generative AI Course in Hyderabad – Batch Details
Below are the complete training details for the Generative AI Certification Course at
VKNOWTECH AI, designed for students and professionals who want to build practical skills
in modern AI technologies.
Join the Upcoming Generative AI Batch
Generative AI Course Curriculum
The curriculum of the Generative AI Course in Hyderabad at VKNOWTECH AI 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
- TECHNOLOGY OVERVIEW
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.
Additionally, generative AI helps in personalization by delivering tailored content and user experiences at scale.
It also supports faster innovation by reducing development time and accelerating idea-to-product cycles.
As adoption continues to grow, generative AI is expected to create new job roles and reshape existing careers.
- AI Chatbots
- Coding Assistants
- Process Automation
- Content Creation
- Data Analysis
Why Hyderabad is a Major AI Hub
Hyderabad has emerged as one of India’s leading technology hubs, attracting global technology companies and AI startups. Major organizations have established large technology centers in the city.
- Microsoft
- Amazon
- Meta
Companies are actively hiring for:
- Generative AI tools
- Prompt engineering
- AI automation workflows
- AI application development
Boost Your Career Prospects
By joining a structured Generative AI Course in Hyderabad, learners gain the skills required to work in today’s AI-powered digital economy.
Why VKNOWTECH AI Offers One of the Best
Generative AI Courses in Hyderabad
Selecting the right training institute is one of the most important decisions when learning
emerging technologies like artificial intelligence. Our program is designed to combine
industry knowledge with practical implementation.
Expert Trainers
Trainers with 10+ years of experience in software development and enterprise technologies.
Practical Learning
Hands-on training with modern AI tools such as ChatGPT, OpenAI, and Google Gemini.
Real-World Projects
Implementation of real-world AI projects to gain practical industry experience.
Mentor Guidance
Instructor-led training with direct mentor guidance throughout the learning process.
Flexible Options
Choose between flexible online and classroom training options to suit your schedule.
Career Ready
Gain skills that are directly applicable in professional environments and modern businesses.
Who Should Take This Best
Generative AI Course
The Generative AI training program in Hyderabad at VKNOWTECH AI is designed for a wide
range of learners who want to develop practical skills in artificial intelligence.
Students and Fresh Graduates
Build careers in AI, Data Science, or Software Development with early exposure to industry tools.
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.
Tools and Technologies Covered in the
Generative AI Training
The Generative AI training at VKNOWTECH AI focuses on teaching modern AI tools that are
widely used by businesses, developers, and AI professionals.
Real-World Generative AI Projects and
Hands-On Practice
Instead of focusing only on theory, students gain real experience by building AI
applications similar to those used by companies today.
- OPENAI API, PYTHON
AI Content Generation System
Build systems that automatically generate articles, summaries, and marketing content using generative AI tools.
- LANGCHAIN, VECTOR DB
AI Chatbot Development
Create conversational AI chatbots that can answer user queries and assist customers using modern AI models.
- ZAPIER AI, AUTOGPT
AI Automation Workflows
Explore how AI tools can automate repetitive business tasks and improve operational efficiency.
- RAG ARCHITECTURE
AI Knowledge Assistants
Build AI assistants that can analyze information, summarize data, and provide intelligent insights.
Through these practical projects, students develop the technical confidence required to
apply generative AI technologies in professional environments.
Learn from Industry
Expert with 10+ Years of Experience
At VKNOWTECH AI, the Generative AI Course in Hyderabad 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.
- 10+ years AI experience
- GenAI & Prompt Engineering
- One-on-one mentorship & guidance
- Worked with top MNCs
- Project-based learning
Generative AI Certification Training in Hyderabad
The Generative AI Certification Training in Hyderabad offered by VKNOWTECH AI is designed to help learners build practical expertise in modern artificial intelligence technologies while also 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
- Working with modern AI tools and platforms
- Prompt engineering techniques for AI models
- Building AI-powered applications and workflows
- Developing real-world projects using GenAI
After successfully completing the training program, learners receive a Generative AI Certification from VKNOWTECH AI, which validates their understanding of AI technologies.
Industry Recognized
Certification
As companies increasingly adopt artificial intelligence solutions, certification in generative AI helps professionals demonstrate their skills and stand out in competitive technology job markets.
VKNOWTECH AI Certified
GENERATIVE AI SPECIALIST
Online and Classroom Generative AI Training
in Hyderabad
VKNOWTECH AI offers flexible learning options for students and professionals. Choose the
mode that best fits your schedule and learning preferences.
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 Hyderabad 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 Hyderabad can open the door to a wide range of
career opportunities in the rapidly expanding artificial intelligence industry.
Industries Hiring AI Professionals
As businesses increasingly adopt AI technologies to automate workflows, analyze data, and build intelligent applications, the demand for professionals skilled in generative AI tools and AI automation systems continues to grow.
- Software Development
- Digital Marketing
- Customer Support Systems
- Data Science & Analytics
- Content Automation
- Business Process Automation
Many technology companies and startups in Hyderabad are actively hiring professionals who have expertise in large language models (LLMs), prompt engineering, and AI-driven automation systems.
Popular Job Roles in Generative AI
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 and improve productivity.
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 Hyderabad
The salary for generative AI professionals in Hyderabad 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.
ENTRY LEVEL
₹6 Lakhs – ₹10 Lakhs Per Annum
EXPERIENCED PROFESSIONALS
₹12 Lakhs – ₹25 Lakhs+ Per Annum
Start Your AI Career Today
Gain the skills needed to land high-paying AI roles in
Hyderabad’s top tech companies.
Generative AI Course Fees in Hyderabad
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 FEE INCLUDES:
- Instructor-led training
- Interactive practical sessions
- Clear complex concept explanations
- Real-world enterprise insights
- One-on-one project guidance
Get Fee Details
CALL / WHATSAPP
90100 91700
EMAIL ADDRESS
admin@vknowtech.ai
Gain the skills needed to land high-paying AI roles in
Hyderabad’s top tech companies.
Why Generative AI Careers Are
Growing Rapidly
The demand for generative AI professionals is increasing rapidly due to several key
industry trends and the massive shift towards intelligent automation.
Rapid Adoption of AI Technologies
Organizations across industries are implementing AI solutions to automate operations, analyze data, and improve customer experiences.
Expansion of Tech Hubs
Organizations across industries are implementing AI solutions to automate operations, analyze data, and improve customer experiences.
Growing AI Startup Ecosystem
The city’s startup ecosystem is investing heavily in artificial intelligence, creating new job opportunities for AI engineers and developers.
Limited Supply of Skilled Professionals
There is still a shortage of professionals who have practical expertise in generative AI tools, LLMs, and AI automation systems.
Because of these factors, professionals who complete a Generative AI Course in Hyderabad and gain
hands-on AI experience can significantly improve their career prospects in the technology industry.
Student Success Stories and Testimonials
Many students who enrolled in the Generative AI training program at VKNOWTECH AI have
successfully developed practical skills and improved their career opportunities.
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
Common questions about our Generative AI Course in Hyderabad.
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 topics such as large language models, prompt engineering, AI automation, and real-world AI applications.
Which is the best Generative AI course in Hyderabad?
The best generative AI course is one that offers practical training, real-world projects, and guidance from experienced instructors. Training programs that teach modern AI tools such as ChatGPT, OpenAI platforms, and prompt engineering techniques help learners build industry-relevant skills.
What is the duration of a Generative AI course in Hyderabad?
Most generative AI training programs in Hyderabad range from 2 to 3 months. At V Know Tech, the training program runs for 90 days, combining theoretical learning with practical AI project implementation.
What are the fees for a Generative AI course in Hyderabad?
The cost of generative AI training programs varies depending on the course curriculum and training format. Typically, course fees range between ₹15,000 and ₹50,000 depending on the institute and training depth.
Can beginners learn Generative AI?
Yes. Beginners can start learning generative AI even without advanced technical knowledge. Many courses begin with fundamental AI concepts and gradually introduce 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 a Generative AI course?
Most generative AI training programs include tools such as:
- ChatGPT
- OpenAI platforms
- Google Gemini
- Prompt engineering frameworks
These tools help learners understand how AI systems generate content and automate workflows.
Are online Generative AI courses available in Hyderabad?
Yes. Many training institutes offer both online and classroom-based generative AI training, allowing learners to choose a flexible learning format.
What job roles can I get after completing a Generative AI course?
Common career roles include:
- Generative AI Engineer
- Prompt Engineer
- AI Developer
- Machine Learning Engineer
- AI Automation Specialist
Is certification provided after completing the Generative AI course?
Yes. Most institutes provide certification upon completion of the training program. Certification validates a learner’s understanding of generative AI technologies and practical implementation skills.
Ready to Lead the AI Revolution?
Join the most comprehensive Generative AI course in Hyderabad and
transform your career with real-time projects.