Generative AI Course In Hyderabad



    Generative AI Course In Hyderabad

    Batch Details

    Details

    Information

    Trainer Names

    Ananya Reddy, Dr. Vivek Sharma

    Trainer Experience

    12+ Years, 18+ Years in Artificial Intelligence & Machine Learning

    Next Batch (Offline)

    22nd September 2025 – 11:00 AM IST (Hyderabad Classroom Training)

    Next Batch (Online)

    24th September 2025 – 09:30 AM IST (Live Interactive Online Training)

    Training Modes

    Classroom Training (Hyderabad) & Online Training

    Course Duration

    3 Months (Comprehensive Generative AI Program)

    Certification

    Industry-Recognized Generative AI Certification from AI Academy Hub

    Contact Number

    +91 7330619292

    Email

    info@varniktech.com

    Demo Session

    +91 7330719292

    Generative AI Training in Hyderabad – Course Curriculum

    • Module 1: Fundamentals of Python Programming
    • Module 2: Foundations of Artificial Intelligence
    • Module 3: Advanced Python for AI & ML
    • Module 4: Applied Mathematics – Calculus and Vector Algebra
    • Module 5: Machine Learning Essentials – Linear & Logistic Regression
    • Module 6: Machine Learning Techniques – Boosting Methods
    • Module 7: Introduction to Neural Networks and Deep Learning
    • Module 8: Designing Neural Network Architectures
    • Module 9: Backpropagation Concepts
    • Module 10: Model Parameters and Hyperparameter Tuning
    • Module 11: Optimization Algorithms for AI Models
    • Module 12: Computer Vision Basics
    • Module 13: Convolutional Neural Network (CNN) Architecture
    • Module 14: Transfer Learning in Vision Applications
    • Module 15: Advanced Concepts in CNNs
    • Module 16: Introduction to NLP and Core Models
    • Module 17: Deep Learning for NLP (DNLP)
    • Module 18: Deep Learning for Forecasting – Part 1
    • Module 19: Deep Learning for Forecasting – Part 2
    • Module 20: Sequence-to-Sequence (Seq2Seq) Architectures
    • Module 21: Advanced NLP and Transformer Models
    • Module 22: Introduction to Generative AI
    • Module 23: Generative Adversarial Networks (GANs) & Large Language Models (LLMs)
    • Module 24: Transfer Learning for NLP Applications
    • Module 25: Autoencoders and Representation Learning
    • Module 26: Real-World AI Use Cases & Applications
    • Module 27: Speech Processing & Analytics
    • Module 28: Reinforcement Learning – Fundamentals
    • Module 29: Reinforcement Learning – Advanced Techniques
    • Module 30: Generative AI Final Capstone Project

    Trainer Details – Generative AI Training in Hyderabad

    INSTRUCTOR

    Trainer Name: Ms. Anjali Verma
    Designation: Senior Data Scientist & Generative AI Consultant
    Experience: 11+ Years in Artificial Intelligence & Data Science

    About the Instructor

    Our mentor is a seasoned Data Scientist and Generative AI specialist with over a decade of expertise in the field. She has worked extensively on Large Language Models (LLMs) such as GPT and LLaMA, along with Prompt Engineering for advanced AI applications.

    Her skill set includes:

    • Predictive analytics and statistical modeling
    • Data preparation and feature engineering
    • Natural Language Processing (NLP) and text mining
    • Machine Learning and Deep Learning frameworks

       

    As a leading industry professional and dedicated trainer, she brings real-world insights into the classroom. Her approach focuses on combining hands-on projects, industry-relevant tools, and live case studies to help learners master Generative AI and prepare for rewarding careers in AI, Data Science, and Machine Learning.

    Why Choose Us for Generative AI Training in Hyderabad

    1. Expert Mentors

    At Varnik Technologies, our trainers are seasoned professionals with extensive experience in Generative AI, Data Science, and Machine Learning. Their real-world expertise ensures you gain both practical and theoretical knowledge.

    2. Comprehensive Curriculum

    Our program is designed to cover everything from fundamentals to advanced Generative AI concepts, including Large Language Models (LLMs), NLP, GANs, and Deep Learning. You’ll graduate with an end-to-end understanding of AI.

    3. Practical, Hands-On Learning

    We believe in learning by doing. Our sessions include live projects, case studies, and coding exercises, giving you the confidence to solve real-world AI challenges.

    4. Industry-Oriented Projects

    Work on industry-specific projects that mirror actual business use cases in healthcare, finance, e-commerce, and more, preparing you for high-demand AI roles.

    5. Cutting-Edge Infrastructure

    Our classrooms and virtual labs are equipped with state-of-the-art tools, cloud environments, and the latest AI frameworks to enhance your training experience.

    6. Personalized Guidance

    Each learner receives one-on-one mentorship, doubt-clearing sessions, and tailored support to ensure steady progress toward their career goals.

    7. Career Support & Placement Assistance

    From resume building and interview preparation to job referrals and placement support, we help you transition smoothly into the AI industry.

    8. Professional Networking

    Gain access to our growing alumni network and industry experts, opening doors for collaborations, mentorship, and career opportunities.

    9. Flexible Learning Modes

    Choose the training format that works best for you—classroom training in Hyderabad, online live sessions, or hybrid options for maximum convenience.

    10. Trusted Brand in AI Education

    With a proven record of successful alumni and industry recognition, Varnik Technologies is known for delivering quality Generative AI training in Hyderabad.

    Generative ai course in hyderabad

    Modes of Generative AI Course in Hyderabad

    Classroom Training

    • Interactive face-to-face learning with expert trainers
    • Immediate feedback and doubt clarification
    • Group discussions and collaborative activities
    • Practical exposure through industry projects
    • Coverage of both core concepts and advanced Generative AI topics

    Online Training

    • Live virtual classes with real-time interaction
    • Access to daily recordings for flexible revision
    • Instructor support through webinars and Q&A sessions
    • Digital modules and online practical labs
    • Flexible schedules suitable for students and professionals

    Corporate Training

    • Customized training programs tailored to organizational needs
    • Daily recordings provided for future reference
    • Focus on team development and upskilling
    • Delivered by experienced AI professionals
    • On-site or virtual workshops with performance tracking and feedback

    What is Generative AI?

    Generative AI is a branch of artificial intelligence focused on creating new and original content, including text, images, audio, and even videos. Unlike traditional AI systems that analyze or classify data, Generative AI is designed to produce completely new outputs by learning underlying patterns and structures within massive datasets.

    These models leverage deep learning and neural networks to generate results that appear human-like and highly realistic. Some of the most popular Generative AI techniques include:

    • Generative Adversarial Networks (GANs) – used for image synthesis, design, and creative applications
    • Transformers and Large Language Models (LLMs) – used for natural language processing, chatbots, and text generation

    Generative AI is rapidly transforming industries such as:

    • Content Creation & Design – automating artwork, marketing content, and creative writing
    • Entertainment & Media – generating music, movies, and digital art
    • Healthcare & Research – supporting drug discovery and scientific simulations
    • Technology & Business – enabling automation, predictive modeling, and AI-powered tools

    With its ability to mimic human creativity, Generative AI also raises important conversations around ethics, originality, and responsible usage.

    Tools Covered in Generative AI Training in Hyderabad

    As part of our Generative AI Course in Hyderabad, participants get hands-on experience with the most widely used tools and frameworks in AI and machine learning. These tools are essential for building, training, and deploying Generative AI models.

    TensorFlow

    An open-source machine learning framework extensively used for creating and training deep neural networks.

    PyTorch

    A flexible deep learning library that makes it easy to design, train, and test generative AI models.

    Keras

    A high-level API built on top of TensorFlow, enabling faster prototyping and experimentation with deep learning models.

    Hugging Face Transformers

    A popular library offering pre-trained models and utilities for Natural Language Processing (NLP) and generative tasks.

    OpenAI GPT

    One of the most powerful Large Language Models (LLMs), designed for generating human-like text and conversational AI applications.

    Jupyter Notebooks

    An interactive coding environment ideal for data analysis, model development, and visualization.

    NVIDIA CUDA

    A GPU-accelerated computing platform that speeds up the training and execution of complex AI and deep learning models.

    Google Colab

    A free cloud-based platform that allows learners to write, execute, and share Python code in Jupyter notebooks with GPU support.

    Docker

    A containerization tool used for deploying, packaging, and managing AI applications across different environments.

    Skills You Will Develop After Generative AI Training in Hyderabad

    By completing our Generative AI Course in Hyderabad, learners will gain the following in-demand skills:

    • Expertise in designing and implementing Generative AI models for real-world applications
    • Ability to generate realistic content including text, images, audio, and video using advanced AI techniques
    • Strong foundation in machine learning and deep learning concepts relevant to generative models
    • Hands-on knowledge of GANs, Transformers, and Large Language Models (LLMs) with practical applications
    • Experience working on live projects and case studies to apply Generative AI solutions to business scenarios
    • Skills to fine-tune, evaluate, and optimize AI models for better performance and accuracy
    • Awareness of AI ethics, responsible usage, and best practices in deploying generative technologies

    Proficiency in using industry-standard tools and frameworks like TensorFlow, PyTorch, Hugging Face, and OpenAI APIs

    Job Opportunities After Generative AI Training in Hyderabad

    The demand for professionals skilled in Generative AI is growing rapidly as organizations across industries adopt this transformative technology. After completing our training program, you can explore diverse career paths such as:

    • AI Research Scientist – Innovates and develops new generative AI models while improving existing algorithms.

    • Machine Learning Engineer – Designs, builds, and deploys machine learning and generative AI systems across applications.

    • Data Scientist – Extracts insights from complex datasets and applies generative techniques to solve business challenges.

    • AI Developer – Creates and integrates AI-powered applications for tasks like text, image, and audio generation.

    • Computer Vision Engineer – Specializes in generative models for image recognition, video synthesis, and analysis.

    • Natural Language Processing (NLP) Engineer – Works on text generation, conversational AI, and language understanding using LLMs and transformers.

    • AI Product Manager – Leads the strategy, development, and launch of AI-driven products using generative technologies.

    • AI Consultant – Guides organizations in adopting and implementing generative AI solutions for business transformation.

    • AI Ethics & Compliance Specialist – Ensures responsible, fair, and ethical use of generative AI in organizations.
    • AI Trainer / Instructor – Educates professionals and students on the applications and best practices of generative AI.

    Companies That Hire

    Generative AI Placement Program in Hyderabad

    At Varnik Technologies, we provide a dedicated placement support program to ensure students of our Generative AI Training in Hyderabad successfully transition into high-demand careers. Our placement initiative is designed to bridge the gap between training and employment by offering personalized guidance, real-world exposure, and direct industry connections.

    What Our Placement Program Includes

    • Career Counseling & Guidance
      One-on-one sessions to align your career goals with industry opportunities and identify the right path forward.

    • Resume Building & Portfolio Development
      Expert support in crafting a strong resume, LinkedIn profile, and project portfolio that highlights your Generative AI skills.

    • Mock Interviews & Interview Preparation
      Focused practice sessions and guidance on frequently asked technical and behavioral questions.

    • Industry Partnerships & Job Opportunities
      Access to job openings through collaborations with leading tech companies, startups, and AI-driven organizations.

    • Recruitment Drives & Networking Events
      Opportunities to connect directly with recruiters, hiring managers, and industry professionals through job fairs and exclusive events.

    Highlights of the Placement Track

    • Intensive 3-Month Training – Gain practical knowledge through structured assignments and tasks.

    • Real-Time Project Execution – Work on complete end-to-end Generative AI projects simulating real industry practices.

    • Capstone Projects – Showcase your expertise with multiple advanced projects designed to impress employers.

    • Hands-On Experience – Build confidence by working in environments that replicate workplace challenges.

    • Interview Readiness – Prepare with the guidance of industry experts to crack technical and HR rounds successfully.
    • Simulated Work Environment – Develop problem-solving skills in a training environment modeled on professional settings.

    Traditional Training vs Generative AI Training at Varnik Technologies

    Aspect

    Traditional Training

    Generative AI Training at Varnik Technologies

    Learning Approach

    Focuses mainly on theory with basic concepts

    Hands-on, advanced practical training aligned with industry needs

    Practical Exposure

    Minimal or no real-world application

    Extensive practical experience through live projects and case studies

    Job Support

    No job assistance after course completion

    100% placement assistance including interviews and career guidance

    Curriculum

    Generalized and basic concepts

    Industry-ready, curated curriculum covering advanced Generative AI topics

    Course Fees

    High upfront cost for training and materials

    Flexible payment options with installment plans

    Industry Connections

    Few corporate partnerships, limited job opportunities

    Strong partnerships with leading tech companies for career placement

    Program Structure

    Fast-paced, unstructured training

    Systematic 3-month program with online and offline learning support

    Career Focus

    Limited guidance for career development

    Career-oriented program designed to secure high-demand AI roles

    Job Market Outlook

    Limited support for entering the AI industry

    Over 5000+ active job openings in Generative AI across industries

    Prerequisites for Enrolling in the Generative AI Course Online

    To make the most of our Generative AI Training in Hyderabad, learners are recommended to have the following foundational knowledge:

    • Basic Programming Skills – Familiarity with languages like Python, essential for developing and implementing AI and machine learning models.

    • Foundational Machine Learning & Statistics – Understanding basic ML concepts and statistical methods helps in grasping advanced generative AI techniques.

    • Mathematical Knowledge – A working knowledge of linear algebra and calculus is beneficial for comprehending the underlying mathematical principles of generative models.

    • Data Handling Skills – Experience with data manipulation, analysis, and visualization tools will enable effective work with real-world datasets.

    By meeting these prerequisites, participants can fully engage with the hands-on projects and advanced topics covered in the course, ensuring a smooth learning journey.

    Generative AI Market Trends

    The Generative AI industry is experiencing rapid growth due to its ability to produce original and realistic content across text, images, audio, and video. This transformative technology is being widely adopted across sectors such as entertainment, design, marketing, and advertising, where it enhances creativity and enables personalized content generation.

    Key trends shaping the Generative AI market include:

    • Advancements in AI Models – Cutting-edge models like GANs and Transformers are driving innovation, enabling more complex and accurate outputs.

    • Healthcare Applications – Generative AI is increasingly used for drug discovery, medical simulations, and predictive diagnostics.

    • Automation and Efficiency – Companies leverage Generative AI to streamline creative processes and improve operational efficiency.

    • Accessible Tools & Platforms – User-friendly AI platforms are making Generative AI more accessible to businesses and individuals alike.

    • Ethical and Regulatory Focus – Discussions around the ethical use, originality, and responsibility of AI-generated content are gaining prominence.

    • Expanding Job Opportunities – The growing adoption of Generative AI is driving demand for professionals in AI research, data science, machine learning, and prompt engineering.

    • Prompt Engineering Expertise – Crafting effective inputs to guide AI models is becoming a critical skill in ensuring accurate and contextually relevant AI outputs.

    The market for Generative AI is projected to continue its upward trajectory, with increased adoption in both enterprise and consumer applications, creating exciting career opportunities for trained professionals.

    Our Achievements – Generative AI Training in Hyderabad

    • Active Students: 100+ learners currently advancing their skills in Generative AI

    • Expert Trainers: 2+ industry professionals guiding students with hands-on expertise

    • Years of Experience: 15+ years of combined experience in AI, machine learning, and data science
    • Batches Completed: 15+ successful batches trained with real-world projects and industry-focused curriculum

    Generative AI Learners Testimonials

    Aditi Sharma
    “The Generative AI Training in Hyderabad at Varnik Technologies completely transformed my career. The hands-on projects and guidance from expert instructors gave me deep insights into AI, helping me secure a role in a leading tech firm. Highly recommended!”

    Rajesh Patel
    “The course offers an outstanding learning experience with a well-structured curriculum and flexible learning options. Practical sessions and real-world projects made understanding and applying Generative AI concepts straightforward and effective.”

    Priya Deshmukh
    “I was impressed by the depth of knowledge and continuous support from Varnik Technologies. The program balanced theory with practical applications, equipping me with the skills required to excel in the AI industry. Truly a valuable investment for anyone looking to grow in Generative AI.”

    Arjun Mehta
    “The training exceeded my expectations. Industry expert instructors simplified complex topics, and the hands-on projects provided invaluable experience. This course played a crucial role in helping me land my position as a data scientist.”

    Sneha Reddy
    “The Generative AI training at Varnik Technologies combines theoretical knowledge with practical skills perfectly. The course materials were well-organized, and instructor support was excellent. I now feel fully prepared to tackle challenges in the AI field.”

    Ashwin
    “The program strikes an ideal balance between theory and practice. The course content was meticulously structured, and the instructors were always available for guidance. I feel confident applying the skills I gained to real-world AI projects.”

    Anusha
    “Coming from a project management background, I found the course exceptionally useful. The trainers provided practical strategies for managing AI projects effectively, and I now feel equipped to lead AI initiatives in my organization.”

    Suchith
    “The Generative AI Training in Hyderabad at Varnik Technologies exceeded my expectations. The program offered a strong foundation in generative models and deep learning, with hands-on projects making complex concepts easy to grasp. I feel confident applying these skills in my work.”

    Highlights of the Generative AI Course in Hyderabad

    • Comprehensive Curriculum – Gain a complete understanding of Generative AI technologies, including machine learning, deep learning, NLP, and AI ethics.

    • Hands-On Learning – Work on practical projects and real-world case studies to apply your skills effectively.

    • Model Development & Deployment – Learn to build and deploy generative AI models for applications such as text, image, and audio generation.

    • Expert Instructors – Learn from industry professionals with extensive experience and deep knowledge in Generative AI.

    • Beginner to Advanced Friendly – The course is suitable for both beginners and professionals aiming to upskill in AI.

    • Flexible Learning Options – Choose between online or offline training to match your schedule and learning preferences.

    • Access to Exclusive Tools & Resources – Utilize industry-standard AI tools, frameworks, and platforms for practice and projects.

    • Career Support & Networking – Benefit from placement guidance, mentorship, and access to industry connections to advance your career.

    • Industry-Recognized Certification – Receive a certificate upon completion that is acknowledged by leading technology companies.
    • Advanced Modules – Includes important topics like MLOps, preparing you for real-time project execution and professional AI workflows.

    Generative AI Masters Course Outline

    01 – Introduction to Generative AI
    Begin with a comprehensive overview of generative AI, its principles, and real-world applications across industries.

    02 – Core Machine Learning & Deep Learning Concepts
    Learn essential machine learning and deep learning techniques that form the foundation of generative AI models.

    03 – Generative Models Overview
    Explore different generative models, including GANs, Transformers, and Large Language Models, and understand their use cases.

    04 – Hands-On Model Development
    Gain practical experience in building, training, and fine-tuning generative AI models for various tasks.

    05 – Practical Projects
    Work on projects focused on text, image, and audio generation, applying theoretical knowledge to real-world scenarios.

    06 – Industry Case Studies
    Analyze real-time case studies to understand how generative AI is implemented across sectors like healthcare, entertainment, and design.

    07 – Ethics & Responsible AI Practices
    Learn about ethical considerations, compliance, and best practices to ensure responsible deployment of generative AI solutions.

    08 – Deployment & Career Support
    Conclude the course with guidance on deploying AI models effectively and receive support for career advancement in the AI industry.

    Generative AI Certifications

    Earning a certification in Generative AI demonstrates expertise in cutting-edge AI technologies that create original content across text, images, and audio. These credentials are highly regarded in the industry, showcasing proficiency in generative models such as GANs, Transformers, and Large Language Models, and their practical applications across various domains.

    A Generative AI certification can:

    • Enhance your career prospects and open doors to advanced AI roles

    • Provide a competitive edge in the growing AI job market

    • Validate your ability to implement and manage real-world generative AI projects

    Popular Generative AI Certifications:

    • Google Cloud Professional Data Engineer – Covers machine learning, AI technologies, and generative models.
    • Deep Learning Specialization by Coursera – Led by Andrew Ng, focusing on deep learning and generative AI techniques.
    • Machine Learning and AI Foundations by Microsoft – Provides foundational knowledge, including generative AI applications.
    • Generative Adversarial Networks (GANs) Specialization by Udacity – Focused specifically on GANs and their industry applications.
    • AI Engineering Professional Certificate – Covers a wide range of AI technologies, including generative AI concepts.
    • NVIDIA Deep Learning Institute Certifications – Offers training and certification in deep learning and generative AI methodologies
    • Stanford University Machine Learning Certificate – Includes coursework relevant to generative AI models and their implementation.

    By completing a recognized certification, learners gain industry-recognized credentials that validate their skills and prepare them for a successful career in Generative AI.

    Frequently Asked Questions – Generative AI Training in Hyderabad

    Here are the most commonly asked questions from aspiring students, curated from “People Also Ask” on search engines and refined for clarity, relevance, and search optimization.
    1. What is Generative AI?
    Generative AI is a type of artificial intelligence that can create original content such as text, images, audio, or video by learning patterns from existing data.

    A basic understanding of Python programming, fundamentals of machine learning and statistics, and familiarity with linear algebra and calculus is recommended.

    The course includes core Python, machine learning, deep learning, neural networks, GANs, Transformers, NLP, computer vision, AI ethics, MLOps, and hands-on projects.
    Salaries vary based on experience and location, but skilled Generative AI professionals in India typically earn between ₹8–25 lakhs per year, with opportunities in top tech companies offering higher packages.
    Generative AI is widely used in entertainment, design, marketing, healthcare, finance, e-commerce, research, and technology sectors for content creation, automation, and innovation.
    The program is offered in classroom training in Hyderabad, live online sessions, and hybrid learning formats to suit different preferences.
    Participants will work with TensorFlow, PyTorch, Keras, Hugging Face, OpenAI GPT, Jupyter Notebooks, Google Colab, NVIDIA CUDA, and Docker.
    Yes, Varnik Technologies provides a free demo session to help you understand the course structure and learning approach.

    The program spans 3 months, combining live sessions, hands-on projects, and real-world case studies. 

    Yes, you will receive a certificate recognized by industry leaders, validating your Generative AI expertise.
    The course includes 100% placement support, including resume building, interview preparation, and industry connections to help you secure a role.
    Absolutely. The program includes practical projects, real-world case studies, and capstone assignments to ensure applied learning.
    You can enroll online or contact us via phone/email to secure your seat in the next batch.
    Generative AI is transforming industries by automating content creation, enhancing creativity, and enabling intelligent solutions in multiple domains.
    The course is suitable for beginners, professionals, students, and anyone looking to build a career in AI.
    Applications include AI-generated art, music composition, text generation, chatbots, image synthesis, drug discovery, and virtual simulations.
    Prompt engineering involves crafting inputs effectively to guide AI models in producing accurate, relevant, and desired outputs.
    Key tools include TensorFlow, PyTorch, Keras, Hugging Face, OpenAI GPT, Google Colab, Docker, and NVIDIA CUDA.
    Students receive career guidance, mentorship, placement assistance, and access to industry networks.
    Yes, the course is designed to help freshers gain practical skills and secure entry-level positions in AI and data science.
    Absolutely. The course equips learners with industry-relevant skills and hands-on experience to re-enter the workforce confidently.
    Yes. The training is structured to introduce concepts from the basics, making it accessible to learners with minimal technical background.
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