Generative AI Training In Hyderabad
Join the best Generative AI Training in Hyderabad and master future-ready AI skills with real-time projects and expert guidance.
Expert Trainer with 8+ years Experience
Lifetime Access to Recorded Videos
100% placement Assistance
Online & Offline
Learn online or in-person, whatever suits you best.
Live Webinar
Join live sessions with experts and learn new AI skills.
Certification
Get a certificate to show your AI skills and boost your career.
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Successful Placements
100+ Companies hired VR Generative AI Trainings Learners
Over 100+ top companies have hired learners from VR Trainings, recognizing their strong skills and expertise in AI. Join us to kickstart your career with leading organizations
Every Business Must Evolve — Or Risk Being Replaced.
Amazon boss tells staff AI means their jobs are at risk in coming years
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Beyond hype, AI becoming workplace reality for white-, blue-collar workers: Study
The new hot job in AI: forward-deployed engineers
Generative AI Training Key Highlights
- Comprehensive Curriculum
Covers AI fundamentals, neural networks, transformers, LLMs, and prompt engineering. - Hands-on Projects
Real-world applications in content generation, chatbots, image creation, and automation. - Practical Tools & Platforms
Learn to work with ChatGPT, Midjourney, DALL·E, Google Gemini, and open-source LLMs. - Industry-Relevant Skills
Build skills in AI model integration, workflow automation, and generative design. - Expert Trainers
Sessions led by AI professionals and industry practitioners.
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6. Career-Focused Learning
Guidance on AI project building, portfolio development, and interview preparation.
7. Certifications
Get an industry-recognized certificate upon successful completion.
8. Flexible Learning Options
Available in both online and offline modes with live and recorded sessions.
9. Capstone Project
Develop an end-to-end Generative AI solution — from idea to deployment.
10. Community & Support
Lifetime access to learning materials, updates, and expert mentorship.
Training Modes
Classroom Training
- Face-to-Face learning
- Fully equipped labs
- Real Time Projects
- One - One Mentoring
- Interactive sessions
- Resume Preparation
- Mock interviews
- 100% Job Assistance
Online Training
- Live Online Classes
- Industry Trainers
- Life Time Recorded Access
- Capstone Projects
- Mock Interviews
- Resume Preparation
- Group discussions
- 100% Placement Assistance
Corporate Training
- Face-to-Face learning
- Fully equipped labs
- Hands-on practice
- Instant doubt solving
- Interactive sessions
- Peer learning
- Mock interviews
- 100% Job Assistance
Weekend Training
- Weekend-only classes
- Industry Trainers
- Real-world examples
- Focused sessions
- Career support
- Recorded lectures
- Group discussions
- Resume preparation
VR Trainings -Instructors
WEEKEND TRAINER - PUNYAKEERTHI
About the Instructor:
Name : Mr. Punyakeerthi
Expert & Lead Instructor – Generative AI
8+ Years of Experience in Software Development
Mr. Punyakeerthi is a seasoned Generative AI trainer with over 8 years of experience in software development and deep expertise in artificial intelligence and machine learning technologies. He specializes in developing AI-driven solutions, focusing on cutting-edge models like GPT, Stable Diffusion, and fine-tuning large language models for practical applications.
With a passion for emerging technologies, Mr. Punyakeerthi provides hands-on training that blends theoretical concepts with real-world AI use cases. His teaching methodology empowers students to understand and build AI models for applications such as text generation, chatbots, image synthesis, and personalized content creation.
Throughout the course, students will gain practical experience in designing neural networks, working with Python libraries like TensorFlow and PyTorch, and deploying AI models on cloud platforms. Mr. Punyakeerthi’s mentorship ensures students are equipped with the skills needed to solve real-world challenges and thrive in the fast-evolving field of generative AI.
WEEK DAYS TRAINER - DHANUSH
About the Instructor:
About the Trainer: Mr. Dhanush
Role: Senior Data Scientist & Weekdays Trainer – Generative AI, Data Science, and Machine Learning
Experience & Expertise
- 4+ years of industry experience in the IT sector, specializing in Data Science, Machine Learning (ML), and Artificial Intelligence (AI).
- 1+ years of expertise in training and mentoring professionals in Data Science and AI across corporate and academic environments.
- Hands-on work with real-world AI solutions across multiple industries, ensuring learners get practical exposure beyond theoretical concepts.
Connect with the Trainer
LinkedIn Profile: Dhanush Nayak
Read more about AI applications in healthcare on NIH Research
Explore how AI is transforming finance in World Economic Forum Reports
OFFLINE & CORPORATE TRAINER - SRI CHAITANYA
About the Instructor:
Trainer Profile –Mr. Sri Chaitanya
Name: Sri Chaitanya
Designation: Generative AI Trainer
Experience: 10+ Years in Training & IT
Profile Summary:
Sri Chaitanya is a skilled Generative AI Trainer with more than 10 years of experience in teaching and implementing AI-based technologies. He specializes in Generative AI, Prompt Engineering, LLM Model Training, Python Programming, and AI Automation Tools. His training style focuses on real-time use cases, making complex concepts simple and practical for learners.
Key Expertise:
- Generative AI & Prompt Engineering
- Large Language Models (ChatGPT, Claude, Gemini, LLAMA, etc.)
- Model Fine-Tuning & Custom AI Solutions
- Python for AI Development
- Data Processing & Optimization
- AI Tools for Business Automation
Teaching Style:
Sri Chaitanya ensures learning is interactive, practical, and easy to understand. He demonstrates real-life applications of AI to help students gain confidence in implementing AI solutions independently.
ABOUT US
At VR Trainings, we are committed to empowering the next generation of innovators through advanced Generative AI Training.
Our mission is to make artificial intelligence accessible, practical, and career-ready for students and professionals alike.
We specialize in training individuals to harness the power of AI tools such as ChatGPT, Midjourney, DALL·E, and other leading LLMs to create intelligent solutions, automate workflows, and transform industries.
Our programs are designed by industry experts and blend theory with hands-on practice — ensuring every learner gains real-world skills in prompt engineering, AI content generation, model integration, and automation.
Whether you are a student, working professional, or business enthusiast, our Generative AI training helps you stay ahead in the fast-evolving digital era and become a leader in the AI revolution.
Benefits
1. Master the Future of Technology
Gain in-depth knowledge of cutting-edge AI concepts like deep learning, transformers, and large language models. This course empowers you to understand how AI is transforming industries and prepares you to be part of the innovation wave.
2. Wide Range of Career Options
Generative AI skills are valuable across multiple domains — from fintech and e-commerce to media and education. Whether you aim to become an AI Developer, Automation Specialist, or AI Consultant, this training sets a strong foundation for diverse career paths.
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3. Build Creative Intelligence
Learn how to combine human creativity with machine intelligence. Explore how AI can generate art, music, marketing campaigns, and content that redefine creativity in the digital era.
4. Strong Industry Demand
Top organizations are integrating AI-driven systems into their operations. Completing Generative AI Training in Hyderabad boosts your employability, making you a preferred candidate for high-growth companies seeking AI-skilled professionals.
5. Hands-On Learning Experience
Our program emphasizes practical implementation through real-world projects, helping you build and deploy models for automation, content creation, and data-driven insights.
6. Learn Anytime, Anywhere
Enjoy the flexibility of both online and offline training options, designed to suit students, professionals, and entrepreneurs who want to learn at their own pace without compromising on quality.
7. Networking & Collaboration
Join a thriving community of learners, mentors, and professionals. Collaborate on projects, share ideas, and grow your network in the ever-evolving AI ecosystem.
8. Global Career Readiness
Generative AI is a global skill — and mastering it here in Hyderabad prepares you for international job roles and remote work opportunities with top global tech companies.
Pre-requisites
To ensure a meaningful and rewarding experience in our Generative AI program, we recommend the following foundational skills and knowledge:
Basic Programming Skills
A strong grasp of basic coding concepts is essential. Proficiency in at least one programming language—preferably Python, given its widespread use in AI applications—will help you confidently navigate the course content.Ability to Understand and Write Code
You should be comfortable reading and writing code to fully engage with the material. This will enable you to actively participate in hands-on exercises and grasp core concepts more effectively.Foundational Understanding of Machine Learning
While the course covers machine learning in depth, having a basic understanding of key principles—such as supervised and unsupervised learning, as well as commonly used algorithms—will enhance your learning experience.Experience Working with Data
Familiarity with handling data—cleaning, preprocessing, and performing simple analyses—is highly recommended. Experience using libraries like pandas or NumPy will be particularly beneficial, as they are integral to many of the course’s practical components.
Generative AI Course Curriculum
Module 1: CORE PYTHON
- Intro – Programing Cycle of Python, Python IDE, Variables, Datatype.
- Operator, Decision making & Control flow statements.
- Mathematical functions, Random function, Trigonometric function.
- Strings, Number type conversion.
- List, Tuples, Sets, Dictionary – Functions & Methods.
- Date & time, Calendar module and Time module.
- Functions, Modules,Packages.
- Files in Python, Directories and Exception Handling
- OOPS concepts, Class, Objects, Inheritance, Overriding methods like _init_,Overloading operators, Data hiding.
- Regular Expressions – match function, search function,matching vs searching
- Regular exp modifiers and patterns.
- Introduction to Flask framework, overview, environment, Apps life cycle, creating viewsApplication.
Module 2: SQL
- Introduction to SQL and Databases
- Basic SQL Queries
- Working with Data
- Aggregations and Grouping
- Joins
- Subqueries and CTEs
- Data Cleaning and Transformation
- Hands-on Practice & Case Studies
- Python Libraries – NumPy,Pandas,Matplotlib.
Module 3: Machine Learning
- Introduction to Machine Learning & its applications
- Understanding Machine Learning Fundamentals
- Python revision
- Introduction to TensorFlow and Keras
- Mathematics: Calculus, Vector Algebra
- Optimization, Derivatives, Function, Probability
- Scalar, Vector, Matrix, Vector spaces
Read Also: Machine Learning Projects with Source Code for Beginners
Regression Models:
- Linear Regression
- Logistic Regression
- Evaluation Metrics
- Classification Models:
- Decision Trees
- Random Forest
- Clustering:
- K-Means Clustering
- Hierarchical Clustering
- Ensemble Methods.
Module 4: DEEP LEARNING
• Introduction to Deep Learning & Neural Networks
• Human Brain vs Neural Network
• Gradient Descent, Backpropagation
• Neural Network Architecture
• Regularization, Dropout, Activation Functions
• CNN: Convolution, Pooling, Padding, Strides
• Object Detection: RCNN, YOLO, Faster RCNN, Mask RCNN
• Transfer Learning in Vision
• NLP (Natural Language Processing):
Text pre-processing, TF-IDF
Word Embedding (Word2Vec, CBOW, Skip-Gram)
Sentiment Analysis, Named Entity Recognition
• RNN, LSTM, GRU
• Seq2Seq Models, Encoder-Decoder
Transformers & Attention:
BERT, GPT, T5, RoBERTa
• Autoencoders, Variational Autoencoders
• Forecasting using Deep Learning
• Real-world deep learning applications
Module 5: PROMPT ENGINEERING
- Understanding of AI, Intro to NLP
Core concepts of NLP, Basics of language understanding.
What is GPT, Its evolutions and generational changes - Intro to GPT and ChatGPT, Fundamentals of Prompt Engineering
The nature of AI, Comparison of Descriptive AI and Generative AI
What is Prompt engineering, its importance,types of prompt
Read Also : The Purpose of Prompt Engineering in AI Systems
- Content generation with Prompts
Strategies for generating text, music and video using prompt. - Applications of Prompt Engineering
Question-Answering systems, Conversational AI, Sentiment Analysis. - Code Generation
GitHub Copilot Exploration
Module 6: CHATGPT
- Introduction to ChatGPT
- what Is Chatgpt?
History and Development of ChatGPT
Examples of ChatGPT use in various industries. - Generative AI
Key concepts and principles of Generative AI
Examples of Generative AI models including ChatGPT, LaMDA and Others. - ChatGPT in Everyday life
ChatGPT applications in everyday life such as writing, translation and creativity
Explore ChatGPT potential for Entertainment and Education. - Coding using ChatGPT, Customer service
Practical coding tasks and automation using ChatGPT
Implementing ChatGPT as Virtual assistant or Chatbot for customer service. - ChatGPT for Business
Utilizing ChatGPT for Content creation, social media engagement and personalized
marketing campaigns. - Training and Optimization
Accessing OpenAI -API keys and Rate Limits
Conversion flows-GPT in Chatbots Testing and Iteration
Dataset preparation, Fine-tuning Techniques, Model Performance Monitoring. - Prompt Engineering with ChatGPT
Writing Clear, Concise and Focused prompts to maximize ChatGPT’s Performance.
Module 7: GENERATIVE AI
- What is Generative AI?
- LLM
Real-world applications and case studies of LLMs
Chatbot Creation. - Finetuning LLM using Transformers for different tasks
Fine-tuning a model process
LSTM vs GRU
Fine tuning Transformers model. - Evolution of GenAI
History Of Generative AI,
Generative AI (GenAI): The evolution of creativity through technology. - GenAI Models & Basic: GPT Models with Prompt Engineering
ChatGPT- GPT-2, GPT-3, GPT-3.5
LLAMA-2
Open Chat Model
Prompt Engineering Hallucination in LLM - Finetuning LLM LLAMA-2
Simple finetuning of LLM: LLAMA-2.
Module 8: Agentic AI
- What Is Agentic AI?
Auto GPT, CAG, and Lang Chain Agents - AI Agents Overview
- AutoGPT, BabyAGI, AgentGPT
- Chain of Abstraction Generation (CAG)
- Multi-Agent Use Case LangChain Agents
- Personal AI Assistant Project
Module 9: INTERVIEW PREPARATION
• Resume building for AI careers
• Common DL/NLP/ ML interview questions
• Mock interviews & feedback
• Communication & GD preparation
• GitHub portfolio building
• Real-world case studies
Module 10: TOOLS & LIBRARIES
• Git, GitHub
• Jupyter Notebook, Google Colab
• TensorFlow, Keras, PyTorch
• Scikit-learn, OpenCV, Hugging Face
• LangChain, Streamlit
• APIs: OpenAI, StabilityAI
• Model Deployment Basics
• Docker & Cloud Introduction
Module 11: PLACEMENT ASSISTANCE
- Career guidance & mentorship
- Job market analysis for AI roles
- Support in applying for jobs
- Weekly job updates
- LinkedIn optimization
- One-on-one mentoring sessions
Generative AI Explained: What It Is and How It Works
Generative AI is a specialized field within artificial intelligence that focuses on producing new and original content such as text, images, audio, and videos.
Instead of simply analyzing data, it uses advanced algorithms and deep learning models to understand patterns and generate creative, human-like outputs.
These models learn from large datasets and then apply that knowledge to create new, similar content.
Popular Generative AI architectures include Generative Adversarial Networks (GANs) — which use two neural networks competing against each other to create realistic data — and Transformer models like GPT-4, which predict and generate text based on contextual understanding.
For students pursuing Generative AI Training in Hyderabad, understanding these core technologies is essential, as they form the foundation for AI model development, automation, and creative applications.
Generative AI is transforming industries such as digital art, content marketing, music production, game development, healthcare, and education by enabling faster, smarter, and more personalized creations.
The advantages of Generative AI include enhanced productivity, innovation through creative automation, and the ability to customize content for specific audiences.
However, learners must also be aware of challenges like ethical use, accuracy verification, and data privacy, all of which are key focus areas covered in Generative AI Training programs in Hyderabad.
What Our Learners Say About Generative AI
Generative AI Training Certification
1. Aspiring AI Professionals
Individuals aiming to start a career in artificial intelligence, data science, or automation will find this training a solid foundation for understanding AI model development and implementation.
2. IT and Software Developers
Developers looking to upgrade their skills can explore how Generative AI can enhance coding efficiency, automate workflows, and build intelligent systems that solve real-world problems.
3. Digital Marketers and Content Creators
Marketing professionals and creators can leverage AI tools to produce personalized content, social media posts, ad campaigns, and visuals, helping brands grow faster with minimal effort.
4. Business Leaders and Startups
Entrepreneurs can use Generative AI to design innovative business models, automate customer engagement, and optimize operations — unlocking new opportunities for growth and scalability.
5. Students and Recent Graduates
Students pursuing degrees in engineering, computer science, or management can gain an early advantage by mastering AI technologies that are in high demand across industries.
6. Designers and Creative Professionals
Graphic designers, video editors, and animators can explore the creative potential of AI tools to produce original artwork, 3D visuals, and interactive media faster than ever.
7. Non-Technical Professionals
Even those from non-technical backgrounds — such as educators, writers, or business analysts — can benefit by learning how AI can streamline tasks, enhance productivity, and support innovation in their domains.
1. Understanding of AI and Machine Learning Concepts
Build a strong foundation in artificial intelligence, neural networks, and deep learning, which are the core components behind generative models.
2. Proficiency in Python Programming
Gain hands-on coding experience using Python, the most widely used programming language for AI development, along with popular libraries like TensorFlow, PyTorch, and Keras.
3. Knowledge of Generative Models
Learn how Generative Adversarial Networks (GANs), Transformers, and Diffusion Models work to create new data, images, and text.
4. Prompt Engineering & AI Interaction
Master the art of prompt engineering — crafting effective instructions for AI models such as ChatGPT and DALL·E to generate accurate and creative outputs.
5. Data Handling & Model Training
Develop skills in data preprocessing, model fine-tuning, and evaluation to build and optimize generative AI systems effectively.
6. Creative Problem Solving
Enhance your ability to use AI tools for content generation, product design, automation, and idea development, combining creativity with technology.
7. Ethical & Responsible AI Use
Understand the importance of AI ethics, data privacy, and responsible AI deployment, which are vital in building trustworthy AI solutions.
8. Real-World Project Implementation
Work on hands-on projects that simulate real industry scenarios — from chatbots and AI-driven content systems to creative design tools.
1. Market Size and Growth
- Global Market Value: The generative AI market is projected to reach $62.72 billion in 2025, with a compound annual growth rate (CAGR) of 41.53% from 2025 to 2030.
- Long-Term Projections: By 2034, the market is expected to expand to $1 trillion, reflecting a CAGR of 44.20% from 2025 to 2034.
2. Regional Insights
- Asia-Pacific Growth: The Asia-Pacific region is anticipated to be the fastest-growing market, with a projected CAGR of 27.6% from 2025 to 2034.
- India’s Role: India is emerging as a significant player in the generative AI landscape, with startups like LimeChat developing advanced AI chatbots capable of handling up to 95% of customer queries, leading to increased automation in sectors like customer service.
3. Investment Trends
- Private Sector Investment: In 2024, generative AI attracted $33.9 billion in private investment globally, marking an 18.7% increase from 2023.
- Corporate Partnerships: Companies like Salesforce have deepened their AI capabilities through partnerships with OpenAI and Anthropic, integrating advanced AI models into their platforms to enhance enterprise-grade tools.
4. Industry Applications
- Enterprise Solutions: Platforms like Salesforce’s Agentforce 360 are incorporating generative AI to enable businesses to create, deploy, and manage AI agents, streamlining operations across various sectors, including finance and healthcare.
Customer Service Automation: Generative AI is revolutionizing customer service by automating responses and interactions, leading to cost savings and efficiency improvements in industries such as telecommunications and e-commerce
- AI Specialist
- Machine Learning Engineer
- Data Scientist
- AI Research Scientist
- Generative AI Developer
- AI Consultant
- Product Manager for AI Solutions
- Entrepreneur in AI
- AI Trainer or Educator
- Roles in Various Sectors (Healthcare, Finance, Marketing, etc.)
Salaries After the Generative AI Training
Completing the Generative AI course from VR Trainings opens doors to some of the most exciting and high-paying roles in tech. With the demand for AI professionals rapidly increasing, skilled individuals are being hired across industries with impressive salary packages..
Salary for Freshers
Freshers who complete the Generative AI Training at VR Trainings are stepping into a booming industry with excellent starting salaries. Thanks to hands-on project experience, mentorship from industry experts, and internship opportunities, our learners are job-ready from day one.
On average, freshers can expect salary packages ranging from:
₹6 LPA to ₹11 LPA
Higher packages for those with strong portfolios, internship experience, or prior tech background
Freelancing and remote roles may offer project-based income starting from ₹30,000 to ₹1,00,000+ per month
Salary for Experienced Professionals
For working professionals with prior experience in tech, analytics, or data-related roles, completing the Generative AI Training at VR Trainings can lead to significant career growth — both in role and compensation.
Here’s what professionals typically earn after upskilling with us:
Mid-Level Roles (2–5 years experience): ₹12 LPA to ₹18 LPA
Senior-Level Roles (5+ years experience): ₹20 LPA and above
AI Consultants / Architects / Product Owners: ₹25–40+ LPA (depending on expertise and domain)
Freelancers or contractors in AI projects often earn ₹1–3 lakhs per project, or more
Generative AI is transforming every industry, and companies are actively hiring professionals who can combine domain expertise with AI innovation. VR Trainings equips you with exactly that competitive edge
Salary for Advanced Level Experts
For professionals with advanced expertise in AI, data science, or software development, our Generative AI training acts as a powerful accelerator — opening doors to leadership roles, niche consulting, and high-value freelance projects.
Here’s what advanced-level experts can command:
Lead AI Engineers / AI Architects / AI Product Managers: ₹30 LPA to ₹50+ LPA
Chief AI Officers / R&D Heads / AI Strategists: ₹60 LPA and beyond (based on company & role)
Freelance AI Consultants: ₹2–5 lakhs per project, or even more for specialized engagements
Global remote roles offer $100K–$200K+ annually, especially for those with multi-domain experience
At VR Trainings, we ensure that even experienced professionals gain hands-on expertise in cutting-edge tools, frameworks, and real-time implementations — helping them position themselves as top-tier AI talent in a rapidly evolving market.
Placements Support
VR Trainings offers 100% placement assistance to ensure your transition from learning to employment is smooth and successful.
Personalized resume and LinkedIn profile building
Mock interviews with industry experts
Dedicated job alerts and referral opportunities
Career roadmap sessions tailored to your goals
We don’t just teach — we help you build your future with confidence.
Generative AI Tools we are covered
At VR Trainings Institute, we prepare students for these opportunities through hands-on training with real-world projects and industry tools. Our curriculum covers essential Generative AI tools and frameworks such as:
ChatGPT & OpenAI API
Midjourney & DALL·E
Hugging Face Transformers
Prompt Engineering
Python for AI Automation
LangChain, AutoGPT, and Stable Diffusion
We also offer complete placement support, including resume building, mock interviews, career coaching, and job referrals. Our dedicated placement team works actively to connect students with top hiring companies.
With expert training, project exposure, and placement support from VR Trainings, students are well-equipped to launch successful careers and grow rapidly in the field of Generative AI.