Generative AI Online Course in Hyderabad

Batch Details

Trainer Name	Nithish Reddy
Trainer Experience	10+ Years Experience
Next Batch Date	22nd Nov 2025 (11:00 AM IST Offline)
Training Modes	Online Training (Hyderabad)
Course Duration	3 Months
Call us at	+91 7330619292
Email Us at	info@varniktech.com

Generative AI Online Course Curriculum

Module 1 : Core Python
Module 2: Artificial Intelligence
Module 3: Python Programming
Module 4: Mathematics – Calculus and Vector Algebra
Module 5: Machine Learning (Linear and Logistic Regression)
Module 6: Machine Learning (Boosting)
Module 7: Introduction to Neural Networks and Deep Learning
Module 8: Neural Network Architecture
Module 9: Backward Propagation
Module 10: Parameters and Hyperparameters
Module 11: Optimizers
Module 12: Computer Vision
Module 13: CNN Architecture
Module 14: Transfer Learning in Computer Vision
Module 15: Advanced CNN Techniques
Module 16: Basic NLP Concepts and Models
Module 17: Deep NLP (DNLP)
Module 18: Forecasting with Deep Learning – I
Module 19: Forecasting with Deep Learning – II
Module 20: Seq2Seq Models
Module 21: Advanced NLP Models
Module 22: Generative AI Fundamentals
Module 23: GANs and Large Language Models (LLM)
Module 24: Transfer Learning in NLP
Module 25: Autoencoders
Module 26: AI Applications in Real-World Scenarios
Module 27: Speech Analytics
Module 28: Reinforcement Learning – I
Module 29: Reinforcement Learning – II
Module 30: Advanced Generative AI and Practical Use Cases

Trainer Profile – Generative AI online Training in Hyderabad

Mr. Nithish Reddy

Generative AI Authority & Principal Data Scientist
Experience: 10+ Years

About the Tutor

Mr. Prasad is a leading AI specialist and Principal Data Scientist with over two decades of professional experience in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI. His technical expertise extends across Python, R, statistical analysis, biological data modeling, and advanced panel analytics.

Recognized as an authority in Generative AI, Mr. Prasad is known for simplifying complex concepts and presenting them through clear, practical explanations. His teaching approach blends theoretical understanding with real-world applications, enabling learners from diverse backgrounds to confidently apply AI tools and frameworks in professional projects.

With extensive experience in the healthcare and medical analytics domain, he has successfully managed and delivered AI-driven projects for clients across the US, UK, Australia, and Canada. His specialization in image processing and disease detection using Generative AI makes his sessions both insightful and industry-relevant.

Through his mentorship at Varnik Technologies, Mr. Prasad continues to guide learners toward building a strong foundation in artificial intelligence, preparing them for impactful careers in data science and AI innovation.

Why Choose Varnik Technologies for Generative AI online course

Expert Faculty

At Varnik Technologies, our Generative AI Training in Hyderabad is led by highly qualified instructors with extensive industry experience. Each trainer brings deep technical expertise in Machine Learning, Deep Learning, and Generative AI, ensuring students gain insights from professionals who actively work on AI applications in real-world environments.

Complete Curriculum

The course is structured to cover everything from foundational AI and Python concepts to advanced Generative AI techniques, LLMs, and real-time AI applications. This ensures a comprehensive learning path for students seeking both theoretical understanding and hands-on exposure.

Hands-On Learning

Learning at Varnik Technologies is project-driven. Students participate in live coding sessions, capstone projects, and real-time assignments, translating theory into practical skills essential for working on Generative AI systems and tools.

Industry-Relevant Projects

The program includes industry-focused projects designed around current trends in AI and data science. Learners gain experience solving realistic challenges, preparing them for professional roles in AI development, model fine-tuning, and automation.

State-of-the-Art Infrastructure

Varnik Technologies provides modern lab facilities, updated AI tools, and access to cutting-edge software environments required for Generative AI experimentation and deployment.

Personalized Mentorship

Our team offers individual guidance and one-on-one mentorship, helping each learner progress at their own pace. We focus on personalized feedback, academic support, and tailored career advice to ensure every student’s success.

Career Assistance

We provide comprehensive career support, including portfolio development, resume building, mock interviews, and job placement assistance through our partner network of AI-focused companies in Hyderabad and beyond.

Professional Networking Opportunities

Students gain access to an active community of AI professionals, alumni, and industry leaders, encouraging collaboration, mentorship, and continued growth in the AI ecosystem.

Flexible Learning Options

Varnik Technologies offers online, classroom, and hybrid learning formats, allowing learners to choose the schedule and mode that best fit their availability and career goals.

Proven Track Record

With a strong reputation as a leading AI training institute in Hyderabad, Varnik Technologies has consistently received excellent feedback from students and recognition from professionals across industries, reflecting our commitment to quality and innovation in AI education.

What is Generative AI

Generative AI is a specialized branch of artificial intelligence that focuses on creating new and original content — such as text, images, videos, audio, or code — using advanced machine learning models. Unlike traditional AI systems that only analyze or classify data, generative AI learns from existing datasets to produce entirely new outputs that closely resemble human creativity.

Generative AI models are powered by deep neural networks and transformer-based architectures, such as Generative Adversarial Networks (GANs) and Large Language Models (LLMs). These systems identify complex patterns, structures, and relationships within data to generate high-quality, realistic results.

Key Applications of Generative AI Online

Generative AI has transformed multiple industries and fields, including:

Content creation – automated text generation, storytelling, and copywriting
Design and art – creating digital artwork, product designs, and concept visuals
Entertainment and media – producing visuals, animations, and music compositions
Healthcare and research – generating synthetic data and aiding in medical image analysis
Technology and simulations – building AI-driven chatbots, virtual environments, and data augmentation

As Generative AI continues to evolve, it opens new possibilities in automation, creativity, and innovation — while also raising essential discussions around ethics, originality, and responsible AI development.

If you’re looking to master this transformative technology, Varnik Technologies offers one of the most comprehensive and practical Generative AI Training in Hyderabad, led by experienced AI professionals. This program covers everything from foundational AI principles to advanced generative modeling, helping learners develop real-world expertise in this rapidly growing field.

Tools Covered in Generative AI online Training

The Generative AI Online Training in Hyderabad by Varnik Technologies equips learners with practical experience using the most powerful tools and frameworks in artificial intelligence and deep learning. Each tool plays a critical role in building, training, and deploying generative AI models for real-world applications.

Below are the major tools and technologies covered in this program:

TensorFlow

TensorFlow is an open-source machine learning framework developed by Google. It is widely used to build, train, and deploy neural networks for deep learning and generative AI applications. Students learn to use TensorFlow for model development, image generation, and advanced AI computations.

PyTorch

PyTorch is a flexible and efficient deep learning library that simplifies the process of creating neural networks and generative models. It offers dynamic computation graphs, making it ideal for rapid prototyping and experimentation in generative AI.

Keras

Keras is a user-friendly, high-level API built on top of TensorFlow. It allows learners to design and train deep learning architectures quickly, providing an accessible way to implement GANs, VAEs, and LLM-based models during the course.

Hugging Face Transformers

Hugging Face Transformers is a leading library for natural language processing (NLP) and generative AI. It offers pre-trained models like GPT, BERT, and T5, enabling participants to fine-tune and deploy models for text generation, sentiment analysis, and conversational AI.

OpenAI GPT

The OpenAI GPT (Generative Pre-trained Transformer) model is central to modern generative AI. Participants gain hands-on experience in leveraging GPT for text synthesis, chatbot creation, and AI-driven automation, learning how to work with APIs and custom integrations.

Jupyter Notebooks

Jupyter Notebooks provide an interactive coding environment for writing and running Python code, visualizing data, and documenting workflows. Learners use Jupyter extensively during the course to build, test, and refine their generative AI models.

NVIDIA CUDA

NVIDIA CUDA is a parallel computing platform that accelerates deep learning computations on GPUs. Students understand how to optimize model training and inference using CUDA-enabled systems to enhance performance and scalability.

Google Colab

Google Colab offers a cloud-based environment for developing and sharing Jupyter notebooks. It provides free access to GPUs and simplifies collaborative work on Generative AI projects without requiring local installations.

Docker

Docker is an essential tool for deploying and managing AI models. It allows learners to containerize applications, ensuring consistent environments for AI model deployment, testing, and scalability across systems.

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Skills Developed After Generative AI online in Hyderabad

The Generative AI Training in Hyderabad offered by Varnik Technologies is designed to build a comprehensive set of technical and analytical skills required to excel in the field of Artificial Intelligence. Upon completing this program, learners gain the ability to design, develop, and deploy generative AI models that solve real-world problems across multiple domains.

Key Skills You Will Develop

Model Design and Implementation
Gain expertise in designing, implementing, and optimizing generative AI models for diverse applications, including text generation, image creation, and speech synthesis.
Content Creation Using AI
Learn to generate realistic and human-like content, such as articles, visuals, and audio, using advanced AI algorithms and neural networks.
Strong Foundation in Machine Learning and Deep Learning
Develop a solid understanding of core concepts in machine learning, deep learning, and neural networks, forming the base for advanced generative modeling.
Knowledge of Generative Models
Master various generative frameworks such as GANs (Generative Adversarial Networks) and Transformers, and understand how they are applied in AI innovation and automation.
Practical Experience Through Projects
Apply theoretical knowledge to real-world projects and case studies, building hands-on experience that prepares you for professional AI development environments.
Model Evaluation and Fine-Tuning
Learn techniques for evaluating model accuracy, performing fine-tuning, and improving overall performance through optimization strategies and feedback loops.
Ethical AI Practices
Understand the ethical and responsible use of AI, addressing issues of bias, originality, and data integrity while developing generative systems.
Proficiency with AI Tools and Frameworks

Gain confidence in using leading AI tools such as TensorFlow, PyTorch, Keras, Hugging Face, and OpenAI GPT to manage and deploy generative models efficiently.

Job Opportunities After Generative AI online Course

The field of Generative AI offers a wide range of career opportunities as industries increasingly adopt artificial intelligence for automation, creativity, and data-driven innovation. Graduates of the Generative AI Online Training in Hyderabad by Varnik Technologies are well-prepared to pursue diverse roles across technology, research, healthcare, media, and enterprise sectors.

Prominent Career Roles in Generative AI

AI Research Scientist
Leads research initiatives to develop new generative models, improve existing architectures, and advance AI capabilities in language, vision, and creativity.
Machine Learning Engineer
Designs, trains, and deploys machine learning and generative AI models for applications such as image synthesis, recommendation systems, and automation.
Data Scientist
Utilizes statistical analysis and machine learning to derive insights from complex datasets and build data-driven generative AI solutions for business challenges.
AI Developer
Builds and integrates AI applications powered by generative models, including text generation, image creation, and interactive AI-based tools.
Computer Vision Engineer
Specializes in image and video generation, object detection, and visual analytics using deep learning and GAN-based architectures.
Natural Language Processing (NLP) Engineer
Works with transformer-based models and large language systems to develop text generation, summarization, and conversational AI solutions.
Product Manager – AI Solutions
Oversees the lifecycle of AI-driven products, managing cross-functional teams and aligning generative AI capabilities with business objectives.
AI Consultant
Provides strategic guidance to organizations on adopting and integrating generative AI technologies, optimizing workflows, and automating content creation.
AI Ethics and Compliance Specialist
Ensures the ethical, secure, and responsible deployment of generative AI, addressing challenges related to bias, transparency, and data governance.
AI Trainer / Instructor Delivers professional training programs, workshops, and certification courses on Generative AI tools and frameworks, sharing knowledge with new learners and professionals.

Generative AI Placement Program

The Generative AI Placement Program at Varnik Technologies is designed to help students of our Live online AI classes Hyderabad secure meaningful and rewarding career opportunities. This comprehensive program combines skill development, practical experience, and career guidance to prepare learners for competitive roles in the AI industry.

Key Features of the Placement Program

Personalized Career Counseling
Receive one-on-one guidance from industry experts to identify career paths aligned with your strengths and goals.
Resume Building and Interview Preparation
Learn how to craft an impactful resume and prepare for interviews with mock sessions, question banks, and scenario-based guidance tailored to AI roles.
Industry Networking and Job Opportunities
Gain access to a robust network of leading tech companies, AI startups, and industry professionals, including exclusive job openings, recruitment drives, and networking events.
Job Fairs and Recruitment Drives
Participate in curated events designed to connect you directly with recruiters and decision-makers from top organizations.
Intensive Hands-On Training
Engage in a 3-month immersive curriculum with assignments, real-time projects, and tasks that simulate industry practices.
Complete Project Execution
Implement end-to-end projects reflecting real-world workflows, giving you the confidence to handle professional AI challenges.
Capstone Projects
Work on multiple capstone projects to showcase your expertise in Generative AI, including applications in text, image, and video generation.
Practical Work Experience
Gain hands-on experience in a simulated professional environment, preparing you for the expectations and challenges of the AI industry.
Simulated Work Environment
Experience a realistic AI project lifecycle, including teamwork, deadlines, and problem-solving scenarios similar to industry standards.

Outcome

Upon completing the Generative AI Placement Program, learners are fully equipped with both technical and professional skills, positioning them for top-tier roles in Generative AI, Machine Learning, and Data Science. Varnik Technologies ensures that graduates are not only job-ready but also capable of making a significant impact in the evolving AI landscape.

Difference Between Traditional Training and Varnik Technologies

Traditional Training	Varnik Technologies Training
Focuses mostly on basic theory	Provides advanced practical training with hands-on experience aligned to industry requirements
Limited practical exposure; rarely meets industry standards	Delivers real-world, application-driven learning, including projects and case studies
No job assurance; students are responsible for finding employment	100% placement assistance with interview scheduling, resume guidance, and employability support
Basic curriculum covering generalized concepts	Industry-ready curriculum curated by experts, including advanced Generative AI topics
High upfront course fees for training and materials	Flexible payment options, including installment plans to reduce financial burden
Few corporate connections; limited hiring opportunities	Partnerships with top industry companies providing direct career opportunities
Unstructured, short-term training programs	Systematic 3-month training program with both online and offline support for comprehensive learning
Minimal focus on career growth or skill application	Career development-oriented program, designed to prepare students for professional Generative AI roles

Pre-requisites to Attend Generative AI Training Online – Varnik Technologies

To gain the most from the Machine learning online course Hyderabad offered by Varnik Technologies, learners are encouraged to have the following foundational knowledge and skills:

Basic Programming Skills
Familiarity with programming languages, particularly Python, is essential for developing, implementing, and experimenting with generative AI models.
Fundamentals of Machine Learning and Statistics
Understanding basic concepts in machine learning and statistical analysis helps learners grasp advanced generative AI techniques more effectively.
Mathematical Foundations
Knowledge of linear algebra, calculus, and probability is beneficial for understanding the inner workings of generative models, neural networks, and optimization algorithms.
Data Handling and Analysis Skills
Prior experience with data manipulation and analysis tools ensures learners can work confidently with real-world datasets, preparing them for hands-on projects and practical applications.

By meeting these pre-requisites, participants can maximize their learning experience, gain practical expertise, and fully benefit from the industry-focused training provided by Varnik Technologies.

Generative AI Market Trends

Advances in AI Models
Innovations in Generative Adversarial Networks (GANs) and Transformer architectures are driving the expansion of AI capabilities, enabling more sophisticated content generation and automation.
Healthcare and Scientific Applications
Generative AI is seeing rising adoption in healthcare, including drug discovery, medical simulations, and predictive modeling, transforming research and patient care.
Business Investment and Automation
Companies are investing heavily in generative AI to improve efficiency, streamline creative workflows, and enhance automation in business processes.
Increased Accessibility
The development of user-friendly tools and platforms has made generative AI more accessible to professionals, creators, and organizations, enabling widespread adoption.
Ethical and Regulatory Considerations
As AI-generated content becomes more prevalent, discussions around ethics, originality, and responsible use are gaining importance across industries.
Expanding Job Opportunities
The growth of generative AI is creating high-demand roles in AI research, data science, machine learning engineering, and prompt engineering, requiring skilled professionals to develop, deploy, and manage AI solutions.
Prompt Engineering A critical skill for modern AI practitioners, prompt engineering involves designing inputs to guide generative AI models in producing accurate, contextually relevant outputs.

Key Highlights

The Generative AI course by Varnik Technologies is designed to provide a complete understanding of generative AI technologies.

The course covers key topics like machine learning, deep learning, natural language processing (NLP), AI ethics, and MLOps.
Students will learn how to build and deploy generative AI models for various applications, including text, image, and audio generation.
The curriculum includes hands-on projects and real-world case studies to enhance practical skills.
Varnik Technologies has the most experienced instructors who are industry experts with extensive knowledge in Generative AI.
The course is suitable for beginners as well as professionals looking to upskill in generative AI.
Online and flexible learning options are available to accommodate different learning schedules.
Students will gain access to exclusive AI tools and resources provided by Varnik Technologies.
The institute provides career support and networking opportunities to help students advance in the AI field.
Upon completion, students receive a certification from Varnik Technologies, recognized by leading tech companies.
Covers important modules like MLOps, which help you in the real-time work environment while executing projects.

150+ Live Sessions

530+ Self Paced Resources

230+ Assignments

60+ Practice & Aptitude Tests

Live Doubt Clarification

Labs For Hands-On Practice

Job Portal with 100+ Jobs

Flexible EMI Options

Generative AI Certification

Earning a certification in Generative AI validates your expertise and proficiency in working with advanced AI technologies capable of generating original and creative content. These certifications are highly valued in the industry, demonstrating a solid understanding of generative models such as GANs (Generative Adversarial Networks) and Transformers, along with their applications across various domains.

Obtaining a certification can significantly enhance career prospects, provide a competitive edge in the job market, and open doors to advanced roles in AI research, development, and deployment.

Popular Generative AI Certifications

Google Cloud Professional Data Engineer – Includes coverage of machine learning and AI technologies, including generative models.
Deep Learning Specialization by Coursera – Offered by Andrew Ng, covering key aspects of deep learning, including generative models.
Machine Learning and AI Foundations by Microsoft – Provides foundational knowledge in AI, with practical applications of generative AI.
Generative Adversarial Networks (GANs) Specialization by Udacity – Focused specifically on GANs, a core technology in generative AI.
M AI Engineering Professional Certificate – Covers various AI technologies, including generative AI applications in real-world scenarios.
NVIDIA Deep Learning Institute Certifications – Offers certifications in deep learning and AI, including advanced generative techniques.
Stanford University’s Machine Learning Certificate – Includes coursework on machine learning techniques relevant to generative models and AI applications.

Completing the Data science with AI Hyderabad equips learners with the knowledge and skills needed to pursue these certifications confidently, strengthening career growth in the rapidly expanding AI domain.

What Our Customers Say About Varnik Technologies

Aligning training programs to suit business needs. thereby enabling organisations to have a skilled workforce that can cater to the evolving and dynamic needs of their customers.Focus on equipping individual learners with best in class skills to enable them start and have a successful career in the IT sector. Clearly understanding student needs and aspirations Use of orientation tools for skill assessment baselining

Naresh Reddy

Developer

Tools Covered

At Varnik Technologies, we integrate industry-leading tools into our training to give learners real-world exposure

FAQs

1. What is Generative AI?

Generative AI is a type of artificial intelligence that creates original content, including text, images, audio, and video, using advanced algorithms and models like GANs and Transformers.

2. What are the prerequisites for the Generative AI online training?

Basic knowledge of Python programming, machine learning fundamentals, statistics, and familiarity with linear algebra and data handling is recommended.

3. What topics are covered in the Generative AI training?

The course covers machine learning, deep learning, neural networks, NLP, GANs, Transformers, MLOps, AI ethics, and real-world generative AI applications.

4. What is the average salary of a Generative AI Engineer?

Generative AI Engineers can expect salaries ranging from ₹8–25 LPA in India, depending on experience, expertise, and industry.

5. What industries use generative AI?

Industries such as entertainment, design, marketing, healthcare, finance, education, and technology widely adopt generative AI for content generation and automation.

6. How is the Generative AI training delivered?

Training is available in online, offline, and hybrid formats, offering flexibility to suit different learning schedules.

7. What tools and technologies will be used in the training?

Students learn to use TensorFlow, PyTorch, Keras, Hugging Face Transformers, OpenAI GPT, Jupyter Notebooks, Google Colab, Docker, NVIDIA CUDA, and other industry-standard AI tools.

8. Will I receive a free demo before signing up for the training?

Yes, Varnik Technologies provides a free demo session to help you understand the course structure, curriculum, and teaching methodology.

9. How long does the Generative AI online training program last?

The course is 3 months long, including hands-on projects, real-world case studies, and practical assignments.

10. Will I receive a certification after completing the online training?

Yes, participants receive a certificate from Varnik Technologies, recognized by leading tech companies.

11. Will I get a job after completing the training?

The program includes 100% placement assistance, interview preparation, and career guidance, but employment depends on individual performance and opportunities.

12. Are there hands-on projects included in the training?

Yes, the course includes practical projects, capstone projects, and real-time case studies to ensure applied learning.

13. How can I enroll in the Generative AI online course program?

You can enroll by contacting Varnik Technologies via call, email, or WhatsApp, or by registering through the website.

14. Why is Generative AI important today?

Generative AI is transforming industries by automating content creation, enhancing creativity, improving efficiency, and enabling innovation across domains.

15. Who can join the Generative AI course online?

The course is suitable for students, professionals, freshers, and anyone looking to upskill in AI, including non-technical learners.

16. What are some real-life use cases of Generative AI?

Use cases include image and video generation, text synthesis, chatbots, music creation, drug discovery, virtual environments, and content automation.

17. What is Prompt Engineering in Generative AI?

Prompt engineering is the process of designing inputs to guide generative AI models in producing accurate, relevant, and high-quality outputs.

18. What are the top tools covered in the course?

Key tools include TensorFlow, PyTorch, Keras, Hugging Face, OpenAI GPT, Jupyter Notebooks, Google Colab, NVIDIA CUDA, and Docker.

19. What support is given after the course?

Varnik Technologies provides career guidance, mentorship, interview support, and networking opportunities even after course completion.

20. Can freshers join and get a job in Generative AI?

Yes, freshers with dedication and completion of hands-on projects can secure opportunities through our placement assistance program.

21. I have a long career gap. Will this course help me?

Yes, the practical training, certification, and placement support help professionals with career gaps re-enter the AI field confidently.

22. Can non-technical people understand Generative AI?

Yes, the course is designed to be beginner-friendly, providing step-by-step guidance, hands-on projects, and conceptual clarity for non-technical learners.

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