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Generative AI Training in Hyderabad – Online Course by Varnik Technologies
Generative AI Training in Hyderabad – Online Course by Varnik Technologies
Transform Your AI Skills with Generative AI Mastery
Join Varnik Technologies comprehensive Generative AI Training in Hyderabad and become industry-ready in one of the most advanced domains in artificial intelligence. This 3-month online program is designed to equip you with the practical knowledge and tools needed to build next-gen AI models, including GANs, LLMs, and real-time generative solutions used across industries like healthcare, fintech, marketing, and automation
Whether you’re a working professional, Generative AI enthusiast, or recent graduate, this course provides a structured path to mastering the future of AI—completely online, from anywhere in India.
Generative AI Training in Hyderabad – Online Course by Varnik Technologies
Generative AI is vital in almost every field. It needs to develop and progress within its systems to handle emerging issues in every industry, business, and organization. The system which solves complex problems should be advanced enough to provide simple solutions. Improvisation in the field of Generative AI will be achievable with more developments and innovations in artificial intelligence and machine learning.
This course will provide you with
- Hands-on learning in Python, Pandas, NumPy, and Machine Learning
- Real-time projects with data visualization and analytics
- Mentoring by Generative AI professionals
- Career support and recognized certification
Course Curriculum
- Module 1 : Core Python
- Module 2 : Introduction to Artificial Intelligence
- Module 3 : Python Programming for AI
- Module 4 : Mathematics – Calculus & Vector Algebra
- Module 5: Machine Learning – Linear & Logistic Regression
- Module 6: Advanced Machine Learning – Boosting Techniques
- Module 7: Fundamentals of Neural Networks & Deep Learning
- Module 8: Neural Network Architectures
- Module 9: Backpropagation Algorithms
- Module 10: Model Parameters & Hyperparameters
- Module 11: Optimization Techniques (SGD, Adam, etc.)
- Module 12: Computer Vision Basics
- Module 13: CNN Architectures
- Module 14: Transfer Learning in Computer Vision
- Module 15: Advanced CNN Implementation
- Module 16: Basics of Natural Language Processing (NLP)
- Module 17: Deep NLP (DNLP) Concepts
- Module 18: Time-Series Forecasting – Part 1
- Module 19: Time-Series Forecasting – Part 2
- Module 19: Time-Series Forecasting – Part 2
- Module 20: Sequence-to-Sequence (Seq2Seq) Models
- Module 21: Advanced NLP Models and Applications
- Module 22: Foundations of Generative AI
- Module 23: GANs & LLMs (Generative Adversarial Networks & Large Language Models)
- Module 24: NLP Transfer Learning Techniques
- Module 25: Autoencoders – Concepts & Use Cases
- Module 26: Real-World AI Applications
- Module 27: Speech Analytics & Audio-Based AI
- Module 28: Reinforcement Learning – Fundamentals
- Module 29: Reinforcement Learning – Advanced Topics
- Module 30: Capstone Project – Real-World Generative AI Implementation
Why Choose Varnik Technologies for Generative AI Training
Expert Mentorship
At Varnik Technologies, our instructors bring over a decade of hands-on industry experience in artificial intelligence, ensuring you gain both theoretical understanding and practical insights in Generative AI.
Industry-Centric Curriculum
Our program is designed to give you end-to-end exposure—from foundational machine learning concepts to the most advanced generative models like GANs and LLMs. You’ll gain real-world knowledge that aligns with current industry needs.
Real-Time Project Experience
Every student works on real-world AI projects that mimic challenges faced by industries today. This hands-on learning approach helps you build a portfolio that employers notice.
Practice-Driven Learning
Our training includes guided lab sessions, coding assignments, and model-building exercises, enabling you to apply what you learn in real scenarios. The goal is not just to learn AI, but to build with AI.
Flexible Learning Modes
Choose from 100% live online training or opt for corporate learning modules. Each mode is supported by recordings, mentor support, and hands-on guidance.
Personalized Learning Support
We believe no two learners are alike. Our dedicated mentors provide personalized support, helping you overcome hurdles, revise concepts, and track your learning progress.
Placement Assistance
We support your transition into the AI workforce with resume-building workshops, mock interviews, and curated job opportunities from our hiring partners.
Professional Networking
Gain access to an expanding community of AI professionals, alumni, and guest speakers who regularly engage with our students through webinars and discussion forums.
Trusted Reputation
Varnik Technologies is known for its commitment to quality education in emerging tech. Our students consistently rate us highly for our structured approach and real-world teaching focus.
Get In touch with us
- Talk to us
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Generative AI Course Modes – Learn the Way That Suits You
Online Training
- Live instructor-led virtual classes
- Recorded sessions for revision
- Interactive Q&A and chat support
- Digital modules and practice labs
- Flexible schedules for working professionals
Corporate Training
- Custom curriculum tailored to your team’s goals
- Hands-on group sessions with expert trainers
- On-site or online delivery
- Progress reports and performance tracking
- Scalable training for enterprises
What is Generative AI?
Generative AI refers to a class of artificial intelligence that can create new content—whether it’s text, images, video, audio, or code. Unlike traditional AI models that analyze or classify data, generative models learn patterns and structures in data to produce original outputs.
Some of the most well-known technologies in this space include:
- Generative Adversarial Networks (GANs)
- Large Language Models (LLMs) such as GPT
- Transformers used in advanced NLP tasks
These models are transforming industries like media, design, healthcare, research, and entertainment by automating creative processes and enhancing productivity. As generative AI becomes more powerful, it also brings important conversations around ethics, originality, and responsible use.
Tools You Will Master in This Training
Our Generative AI Training in Hyderabad (Online) includes hands-on experience with industry-standard tools:
- TensorFlow – Open-source deep learning framework
- PyTorch – Flexible, developer-friendly AI library
- Keras – High-level neural network API
- Hugging Face Transformers – Pre-trained NLP models and APIs
- OpenAI GPT (API-based) – For working with language generation models
- Jupyter Notebooks – Real-time code development and visualization
- Google Colab – Cloud-based development environment
- Docker – Containerization for AI model deployment
- NVIDIA CUDA – GPU acceleration for deep learning tasks
Skills You Will Develop After This Course
Upon completing the course, you’ll be equipped to:
- Build and deploy generative AI models for real-world applications
- Generate realistic content across modalities (text, images, speech)
- Apply deep learning, transfer learning, and NLP techniques effectively
- Fine-tune models for specific tasks using transformers and GANs
- Use AI frameworks and development environments proficiently
- Tackle industry projects and case studies with confidence
- Understand the ethical use of AI and implement best practices
- Present your work through a well-structured portfolio and GitHub repo
Career Opportunities After Generative AI Training
As generative AI continues to disrupt industries like media, finance, healthcare, and automation, the demand for skilled professionals in this field is growing rapidly. After completing our Generative AI Training in Hyderabad (Online), you can explore high-impact roles such as:
Key Job Roles:
- AI Research Scientist Design novel generative algorithms and explore cutting-edge AI model architectures.
- Machine Learning Engineer Build, train, and deploy scalable generative models across real-world applications.
- Generative AI (AI-Focused) Leverage large datasets to create predictive and generative insights using advanced statistical modeling.
- AI Developer Build intelligent applications for text generation, content automation, and visual synthesis.
- Computer Vision Engineer Create image and video generation models using GANs and advanced CNN architectures.
- NLP Engineer Work on transformer-based language models, text-to-speech engines, and chatbot development.
- AI Product Manager Lead cross-functional teams to plan and execute generative AI product lifecycles.
- AI Consultant Guide businesses in integrating generative AI tools to improve workflows, personalization, or automation.
- Ethics & AI Governance Specialist Focus on ensuring responsible and ethical deployment of AI systems in accordance with legal and compliance standards.
- Generative AI Instructor Train individuals or corporate teams in AI technologies through structured learning programs.
Generative AI Placement Support at Varnik Technologies
Our dedicated placement assistance program is designed to help you transition from training to employment with confidence.
Placement Features:
- Career Counseling & Roadmapping
Personalized 1-on-1 guidance to help you understand the right job role based on your background and skills. - Resume Building & Portfolio Reviews
Craft an impactful resume and GitHub profile aligned with AI industry standards. - Mock Interviews
Practice real-time interview scenarios with expert feedback and question banks relevant to AI roles. - Hiring Network Access
Get introduced to hiring opportunities through our pool of recruiter connections and partner companies. - Job Fairs & Recruitment Drives
Participate in exclusive job events and interact directly with hiring managers and startups. - Networking Events
Connect with alumni, guest mentors, and AI leaders through online forums and webinars.
Placement-Oriented Curriculum Highlights
- Intensive 3-Month Online Program
Live classes, assignments, and continuous evaluations make for a robust and immersive learning experience. - Industry Projects
Implement projects similar to those handled by Generative AI and AI teams in real enterprises. - Capstone Projects
Deliver complete end-to-end generative AI solutions—from concept to deployment. - Real-Time Experience
Simulated work environments to prepare you for technical and collaborative expectations of the workplace. - Interview Readiness Program
Topics, challenges, and exercises based on real job descriptions in the AI space.
Traditional Training vs Varnik Technologies Generative AI Program
| Category | Traditional Training | Varnik Technologies Generative AI Training |
| Learning Style | Mostly theory-based, basic concepts only | Advanced, hands-on training with real-time projects |
| Industry Exposure | Limited to classroom learning | Includes industry use cases, datasets, and job-oriented exercises |
| Job Support | Training ends after course completion | Complete placement assistance from start to finish |
| Curriculum Quality | Outdated or generic syllabus | Modern, curated syllabus based on industry trends |
| Payment Flexibility | Full payment upfront | Installment options with minimal upfront cost |
| Industry Connections | Few to no hiring partnerships | Multiple company tie-ups and recruitment support |
| Program Structure | Unstructured, short-duration courses | Systematic 3-month guided program with mentor support |
Prerequisites to Enroll in the Generative AI Course
To make the most of this advanced training program, learners are recommended to have:
- Basic Programming Knowledge
Familiarity with Python or similar programming languages is essential for implementing machine learning and AI models. - Understanding of Machine Learning Fundamentals
Prior exposure to machine learning concepts and basic algorithms will help in grasping advanced generative AI techniques quickly. - Mathematics for AI
A working knowledge of linear algebra, calculus, and probability is beneficial for understanding the core mathematics behind neural networks and generative models. - Data Analysis Skills
Experience with tools like Pandas, NumPy, or Excel for handling datasets will assist you in preprocessing and analyzing large volumes of training data effectively.
Even if you’re new to some of these areas, our structured curriculum and personalized mentorship will help you bridge the gap.
Generative AI Market Trends
Generative AI is no longer just a futuristic concept—it is becoming a core driver of innovation across global industries. Here are some of the most notable trends shaping its growth:
- Rapid Industry Adoption Sectors like media, entertainment, advertising, and design are using generative AI for automated content creation and personalization.
- Transformers & GANs Fueling Innovation Breakthroughs in model architectures such as GANs (Generative Adversarial Networks) and Transformers have made generative tasks more accurate, realistic, and scalable.
- Healthcare & Scientific Applications Generative AI is now being applied to drug discovery, medical imaging, and synthetic data generation for research and simulations.
- Increased Investments in AI R&D Enterprises are investing heavily in generative AI to drive automation and streamline creative and technical workflows.
- Ethical & Regulatory Conversations As AI-generated content grows, so do discussions on bias, copyright, and responsible usage—making ethics a vital skill for future professionals.
- Prompt Engineering is on the Rise The rise of prompt engineering—crafting effective inputs for LLMs like GPT—has created new job roles and niche expertise in guiding AI behavior.
- Growing Career Demand There is a sharp increase in demand for AI engineers and product managers who specialize in generative model development and deployment.
Varnik Technologies – By the Numbers
Here are a few of our key achievements from our journey in training future-ready AI professionals:
- 100+ Active Learners across various AI and Generative AI programs
- 15+ Years of Combined Industry Experience
- 5+ Generative AI Batches Successfully Completed
- Small Batch Sizes to ensure individual attention and mentorship
Highlights of Varnik Technologies Generative AI Course
Our Generative AI Training in Hyderabad (Online) is structured to equip learners with a strong theoretical foundation and practical skills to thrive in today’s AI-driven world. Below are the key highlights of our program:
- Comprehensive Learning Path :The course spans machine learning, deep learning, NLP, and responsible AI practices to give you an end-to-end grasp of generative AI.
- Model Building & Deployment : Learn to design, train, fine-tune, and deploy generative models for real-world applications including text, image, and audio generation.
- Project-Based Curriculum : Every student works on capstone and mini-projects that simulate industry use cases to strengthen real-time problem-solving skills.
- Experienced Faculty : Our trainers are AI practitioners with 10+ years of hands-on industry experience and deep specialization in Generative AI.
- Suitable for All Levels : Whether you’re a beginner or a working professional aiming to reskill or upskill, our modular course structure ensures seamless learning.
- Flexible Learning Options : Live online classes with recordings, weekend batches, and self-paced materials accommodate all kinds of schedules.
- Tool Access & Lab Environment : You’ll work with cutting-edge tools like TensorFlow, PyTorch, Hugging Face, Google Colab, and Docker in a simulated work environment.
- Career Development Support : Benefit from dedicated job readiness sessions, resume reviews, and interview preparation tailored for AI roles.
- Certification Upon Completion : Get an industry-recognized certificate from Varnik Technologies that validates your expertise in Generative AI and boosts your career profile.
- MLOps Integration : Learn real-time DevOps practices tailored to machine learning, making you proficient in model deployment, automation, and monitoring.
Generative AI Course Outline
Our structured curriculum takes you from fundamentals to advanced mastery of generative models. Here’s a breakdown of what you will learn:
- Introduction to Generative AI Explore the concept, scope, and real-world applications of generative AI across industries.
- Machine Learning & Deep Learning Essentials Understand supervised and unsupervised learning, neural networks, activation functions, and model training.
- Generative Models: GANs, VAEs, Transformers Learn the mechanics of popular models used in generative tasks including image synthesis, text generation, and data augmentation.
- Hands-On Model Building Develop and fine-tune models using TensorFlow, PyTorch, and Hugging Face—guided by step-by-step lab assignments.
- Real-Time Project Work Implement projects like AI text generators, art creators, and chatbots using LLMs and GANs.
- Case Studies in Enterprise AI Analyze real-world case studies showing how generative AI is transforming fields such as healthcare, finance, and media.
- Ethical AI & Responsible Deployment Understand the ethical implications of generative content, deepfakes, AI bias, and responsible development practices.
- Model Deployment & Career Support Get trained in deploying AI models to production, maintaining them, and preparing for interviews in AI-focused roles.
Key Highlights
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 – Validate Your Expertise
Upon successful completion of the course, you'll receive a Varnik Technologies Generative AI Certification. This certification demonstrates your ability to design, build, and apply generative models professionally.
Why Certification Matters:
- Adds credibility to your resume and LinkedIn profile
- Demonstrates industry-aligned practical expertise
- Helps you qualify for AI research, ML engineering, and product-focused roles
- Increases employability in startups, enterprises, and R&D labs
Relevant Industry Certifications You Can Pursue Post-Training:
- Google Cloud – Professional Data Engineer Covers ML pipelines, model deployment, and scalable AI architectures.
- Deep Learning Specialization (Coursera by Andrew Ng) Includes generative models, backpropagation, and CNNs.
- GANs Specialization (Udacity) Dedicated to training and applying generative adversarial networks.
- Microsoft AI Fundamentals Provides an AI foundation with modules touching on generative applications.
- NVIDIA Deep Learning Institute Offers hands-on certifications in computer vision, NLP, and GAN-based modeling.
- Stanford Machine Learning Certificate Covers statistical learning theory and neural networks relevant to generative AI.
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
Frequently Asked Questions – Generative AI Training
1. What is Generative AI?
Generative AI refers to a class of artificial intelligence techniques that can create new data such as text, images, audio, or video. It uses deep learning models like GANs (Generative Adversarial Networks) and Transformers to generate content that closely resembles human output.
2. What are the prerequisites for the Generative AI training?
A basic understanding of Python programming is recommended. Familiarity with machine learning fundamentals, linear algebra, and statistics will help you grasp advanced topics more effectively. However, the course is beginner-friendly and includes foundational modules.
3. What topics are covered in the Generative AI training?
The course covers Python programming, machine learning, deep learning, natural language processing (NLP), computer vision, GANs, LLMs, transfer learning, autoencoders, reinforcement learning, and MLOps. It includes hands-on projects and case studies to apply each concept.
4. What is the average salary of a Generative AI Engineer?
In India, the average salary of a Generative AI Engineer ranges from ₹8 LPA to ₹22 LPA, depending on experience, project exposure, and company. Professionals with advanced skills in LLMs and deep learning often command higher packages.
5. What industries use generative AI?
Generative AI is widely used in sectors like media, marketing, healthcare, e-commerce, finance, gaming, and research. Applications include content generation, image synthesis, medical simulation, text summarization, code generation, and more.
6. How is the Generative AI training delivered?
Varnik Technologies offers online live instructor-led sessions with interactive Q&A, practical labs, recorded lectures, and downloadable resources. Flexible batch options are available for both working professionals and full-time learners.
7. What tools and technologies will be used in the training?
You will gain hands-on experience with industry-leading tools such as TensorFlow, PyTorch, Keras, Hugging Face Transformers, OpenAI APIs, Google Colab, Docker, Jupyter Notebooks, and NVIDIA CUDA for GPU acceleration.
8. Can I attend a free demo session before enrolling?
Yes. Varnik Technologies offers a free demo session so you can evaluate the course structure, trainer expertise, and learning experience before committing to full enrolment.
9. How long does the Generative AI training program last?
The duration of the program is 3 months, comprising live sessions, weekend assignments, self-paced learning modules, and real-time project execution.
10. Will I receive a certification after completing the training?
Yes. Upon successful completion of the course, you will receive a Generative AI Certification from Varnik Technologies, which is recognized by employers and adds credibility to your professional profile.
11. What kind of career support is provided?
Our career support includes personalized resume building, interview preparation, mock interviews, LinkedIn profile optimization, and job referrals through our network of hiring partners.
12. Are there any hands-on projects included in the training?
Absolutely. You’ll work on multiple hands-on projects involving text generation, image synthesis, chatbots, and other real-world generative AI use cases. A final capstone project is also part of the curriculum.
13. How can I enroll in the Generative AI training program?
You can enroll by visiting our official website at https://varniktech.com, submitting an inquiry form, or contacting our support team via WhatsApp or call. Free demo registrations are also open before full enrollment.
