Transform your future with

Generative AI Training In Hyderabad

Master the future of Artificial Intelligence with VR Generative AI’s expert-led training in Hyderabad. Gain hands-on experience, learn industry-relevant skills, and become a certified AI professional. Enroll today to transform your career in AI!

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Choose your preferred mode of learning—attend classes online or in person for maximum convenience

Live Webinar

Engage with industry experts through interactive live sessions and master practical AI skills.

Certification

Earn a prestigious certification to validate your AI expertise and accelerate your career growth.

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Top Companies hire VR Generative AI Trainings Learners

Leading organizations across industries trust VR Generative AI Trainings for skilled professionals. Our learners are equipped with cutting-edge AI expertise, making them valuable assets in the competitive job market. Kickstart your career with training that employers rely on.

Why VR Generative AI Institute in Hyderabad is Your Best Choice

Comprehensive Generative AI Training in Hyderabad, designed to provide in-depth knowledge and hands-on experience with real-world applications.

Learn from expert trainers at VR Software Trainings, offering unmatched guidance and industry insights.

Flexible learning options, including Generative AI course online, to suit your schedule and learning preferences.

Gain expertise in cutting-edge tools and technologies used in Generative AI Training institutes in Hyderabad to stay ahead in the field.

Access to a well-structured curriculum that covers foundational concepts to advanced techniques in Generative AI course in Hyderabad.

Work on live projects and case studies to develop practical skills and problem-solving abilities.

Dedicated career support, including resume building, interview preparation, and placement assistance.

Join a growing community of AI enthusiasts and professionals at VR Software Trainings, fostering networking and collaboration opportunities.

Affordable course fees with flexible payment options to make learning accessible for everyone.

Certification upon course completion, recognized by top companies globally, to boost your career in the field of Generative AI.

Top Placements After Generative AI Training in Hyderabad

At VR Generative AI, we take immense pride in the achievements of our students. Our Generative AI Training in Hyderabad equips aspiring professionals with cutting-edge AI skills, opening doors to prestigious roles in the fast-growing AI industry.

Curriculum

Enroll for Free Demo

Module 1: Introduction to Generative AI

Understanding Artificial Intelligence and Machine Learning fundamentals.
Overview of Generative AI and its applications.
Importance of Generative AI in modern industries.
Key tools and technologies used in Generative AI Training in Hyderabad.

Module 2:Deep Learning Foundations

Neural networks: Architecture and working principles.
Key concepts: Supervised, unsupervised, and reinforcement learning.
Activation functions, backpropagation, and optimization techniques.
Hands-on: Building simple neural networks.

Module 3: Generative Models

Introduction to generative models: GANs, VAEs, and Autoencoders.
Understanding and implementing Generative Adversarial Networks (GANs).
Applications of Variational Autoencoders (VAEs).
Real-world examples

Module 4: Advanced Techniques in Generative AI

Transfer learning and fine-tuning pre-trained models.
Sequence modeling with transformers and LSTMs.
Hands-on: Building AI systems for image and text generation.
Exploring state-of-the-art models like ChatGPT and DALL-E.

Module 5: Tools and Frameworks

Introduction to TensorFlow and PyTorch.
Utilizing Hugging Face for NLP and transformers.
Hands-on with popular tools used in Generative AI course online.

Module 6: Ethical Considerations and AI Governance

Responsible AI practices.
Understanding AI biases and mitigating risks.
Legal and ethical frameworks for deploying AI systems.

Module 7: Real-World Applications of Generative AI

Industry use cases: Healthcare, finance, gaming, and more.
AI for business: Automating processes and enhancing productivity.
Practical projects to apply your knowledge in real-world scenarios.

Module 8: Career Support and Certification

Building AI-driven projects for your portfolio.
Preparing for interviews and technical discussions.
Certification from VR Software Trainings, recognized by leading companies globally.

Demo Date : 29/01/2025
Time Duration : 12 weeks
Study Lecture : 20 Lectures
Skill Level : Advance Course
No. Of Students : 120 Students
Job Placements : 100%
Certificate : Yes

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Course Fee :

Rs. 35000 /_

Course Outline

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100% No-Risk Money Back Guarantee!

We’re confident that our Generative AI Training in Hyderabad will exceed your expectations. That’s why we offer a 14-day unconditional money-back guarantee. If, for any reason, you feel the course isn’t the right fit for you, let us know within the first 14 days, and we’ll refund your payment—no questions asked. Your satisfaction and learning are our top priorities. Take the leap with zero risks and start building your AI career today!

Trainer Profile

Dr. Anil Kumar

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Meet Your Expert Trainer:

Dr. Anil Kumar, a seasoned professional in Artificial Intelligence and Machine Learning, leads our Generative AI training program. With over a decade of experience working on cutting-edge AI projects and collaborating with leading organizations, Dr. Kumar is dedicated to empowering learners. His hands-on teaching approach combines in-depth theoretical knowledge with practical application, ensuring you gain real-world skills. Dr. Kumar’s passion for AI education makes him the perfect guide to help you master Generative AI and achieve your career aspirations.

Our Students Success Stories

Discover how our Generative AI Training in Hyderabad has transformed careers. Hear directly from our students who’ve achieved their dreams with us!

Our Students Success Stories

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Our Students Placed In

Proudly celebrating the success of our students placed in leading companies after completing Generative AI Training in Hyderabad. Join us to kickstart your dream career today!

Job Roles and Responsibilities in Generative AI

Generative AI professionals are in high demand across a wide range of industries. Below are some of the key job roles and their responsibilities:

Generative AI Engineer

Develop and implement generative models such as GANs and VAEs. Optimize AI models for efficiency and scalability. Collaborate with cross-functional teams to integrate AI into products.

Machine Learning Engineer

Design, build, and deploy machine learning algorithms. Work with large datasets to train generative AI models. Troubleshoot model performance and fine-tune hyperparameters.

Data Scientist

Analyze data to identify trends and patterns that can be used in generative models. Develop AI-based solutions to solve business problems. Implement machine learning algorithms to improve model accuracy.

AI Research Scientist

Conduct research on new generative AI techniques and models. Publish findings to advance the field of artificial intelligence. Experiment with cutting-edge technologies like reinforcement learning and deep learning.

AI Product Manager

Manage the development of AI-powered products and services. Define project requirements and coordinate between engineering and business teams. Ensure that AI models are integrated seamlessly into the product roadmap.

Deep Learning Specialist

Specialize in neural networks and deep learning algorithms for AI model training. Develop and optimize deep learning architectures for generative tasks. Stay up-to-date with the latest research and advancements in deep learning.

AI Software Developer

Develop software solutions that incorporate generative AI models. Implement and maintain AI-based features within software applications. Collaborate with other developers to ensure proper AI model integration.

Creative AI Specialist

Utilize generative AI for creative fields such as content creation, design, and media. Develop AI-generated art, music, and text for various applications. Work with artists and designers to enhance creative projects using AI.

Tools Covered in Generative AI Training

TensorFlow

Learn to build, train, and deploy AI models using TensorFlow, one of the most widely used machine learning frameworks.

PyTorch

Gain proficiency in PyTorch, a powerful open-source deep learning framework for developing dynamic AI models.

Keras

Use Keras, a user-friendly neural network library, to quickly prototype and experiment with deep learning models.

OpenAI GPT

Work with OpenAI’s Generative Pre-trained Transformer models to understand how language models generate human-like text.

Hugging Face Transformers

Dive into Hugging Face, a library providing pre-trained models for natural language processing and text generation tasks.

NVIDIA CUDA

Utilize CUDA for accelerated computing to speed up deep learning model training on GPUs.

Google Colab

Leverage Google Colab’s cloud-based environment to run AI experiments and access free GPU resources for deep learning.

GANLab

Explore and visualize the training process of Generative Adversarial Networks (GANs) with GANLab.

MATLAB

Understand the basics of AI and machine learning using MATLAB for simulation and modeling of generative algorithms.

Testimonial

What our students say about us

The Generative AI Training in Hyderabad at VR Software Trainings was a game-changer for me! I got hands-on experience with building AI models, and the instructors were extremely knowledgeable. This course has really given me the skills to kickstart my career in AI.

I took the Generative AI course online, and it was fantastic! The course was structured in a way that allowed me to learn at my own pace, and the real-world projects made all the difference in understanding the concepts.

I highly recommend the Generative AI course in Hyderabad. The course was well-organized and covered everything from basics to advanced AI techniques. It was a great learning experience, and I now feel equipped to pursue a career in AI.

I had no prior knowledge of Generative AI, but after completing the Generative AI course in Hyderabad, I now feel confident in my ability to build and deploy AI models. The hands-on learning and projects made a huge difference.

The Generative AI Training institute in Hyderabad gave me a comprehensive understanding of the field. The projects were realistic and helped me apply what I learned, making it one of the best educational experiences I’ve had.

Skills Developed After Completing the Generative AI

Learning Objectives of the Generative AI Course

Understand Generative AI Models

Gain in-depth knowledge of generative models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).

Develop AI-Powered Applications

Learn how to design and deploy AI applications for real-world use cases in various industries.

Master Deep Learning Techniques

Get hands-on experience with deep learning algorithms and tools for training generative models.

Create Realistic Content

Learn to generate high-quality, realistic images, videos, and text using AI models.

Explore AI Ethics and Responsibility

Understand the ethical implications of AI and how to implement responsible AI practices.

Stay Ahead in AI Trends

Keep up-to-date with the latest advancements in Generative AI and its applications in various industries.

15+

Years of Experience

What Is Generative AI?

Generative AI refers to advanced artificial intelligence systems capable of creating new content, such as images, text, music, or code, by learning from existing data.
It uses deep learning techniques like neural networks to identify patterns and generate outputs that mimic human creativity.
Popular applications include chatbots, content creation, image generation, virtual assistants, and automated software development.
Generative AI powers tools like ChatGPT, DALL-E, and other transformative technologies shaping industries worldwide.
By learning Generative AI Training in Hyderabad, you gain expertise in developing and leveraging AI systems to solve complex real-world problems.
The field is rapidly expanding, making skills in Generative AI highly sought-after by industries like healthcare, entertainment, finance, and technology.
VR Software Trainings provides a structured approach to mastering Generative AI, ensuring a strong foundation and hands-on experience.

Pre-requisites to learn the Course

Basic understanding of programming concepts, especially Python.

Familiarity with machine learning and deep learning fundamentals.

Analytical thinking and problem-solving skills.

No prior experience in Generative AI is required; beginners are welcome.

Career Opportunities After the Generative AI Course

Upon completing the Generative AI Training in Hyderabad at VR Software Trainings, you’ll unlock a world of career opportunities in one of the most exciting and rapidly growing fields.

AI Developer

Design and develop cutting-edge AI models, leveraging generative algorithms to solve real-world problems.

Machine Learning Engineer

Work on advanced AI systems, enhancing machine learning models and ensuring their performance in dynamic environments.

Data Scientist

Use generative models to analyze large datasets, predict trends, and provide valuable insights for businesses.

AI Researcher

Conduct research in AI and machine learning to develop novel algorithms and technologies for a wide range of applications.

AI Consultant

Provide expert advice to companies looking to integrate AI solutions into their business strategies and operations.

Natural Language Processing (NLP) Specialist

Specialize in developing models for language understanding and generation, a key aspect of generative AI.

Who needs Generative AI Professionals

Generative AI professionals are in high demand across various sectors. As Generative AI continues to evolve, industries are seeking skilled professionals to help them leverage its potential, making this a high-demand skill in the job market.
Here’s a look at the industries and organizations that require Generative AI trained individuals:

Leading tech giants like Google, Microsoft, and Adobe need AI experts to develop advanced AI models for automation, product enhancements, and more.

Healthcare Industry

Healthcare organizations are increasingly using Generative AI for drug discovery, personalized treatments, medical imaging, and predictive analysis.

Entertainment & Media

Film studios, gaming companies, and digital artists are turning to Generative AI to create realistic characters, scenes, music, and more.

E-commerce Platforms

Online retailers require AI professionals to personalize shopping experiences, recommend products, and generate customer insights.

Financial Institutions

Banks and financial institutions use Generative AI for fraud detection, risk analysis, and predictive financial modeling.

Startups and Entrepreneurs

Many startups are incorporating Generative AI into their products or services, requiring trained professionals to develop and deploy AI-driven solutions.

Automotive Industry

Car manufacturers are adopting Generative AI for autonomous vehicle development, smart manufacturing, and enhanced customer experiences.

Marketing & Advertising Agencies

Generative AI is used for creating targeted ad campaigns, automating content creation, and analyzing consumer behavior.

Research Institutions & Universities

AI researchers and academic institutions need experts in Generative AI to push the boundaries of innovation in AI technologies.

Advantages of Learning the Generative AI Course

Learning Generative AI offers numerous advantages, positioning you for a successful career in one of the most exciting and rapidly evolving fields.

01 High Demand for AI Professionals

As businesses across industries adopt AI-driven solutions, there is a growing demand for skilled professionals in Generative AI. Learning this technology opens up a wide range of job opportunities in tech, healthcare, finance, entertainment, and more.

02 Hands-On Experience with Cutting-Edge Technology

By mastering Generative AI, you’ll work with advanced models like GANs and VAEs, gaining practical experience that is highly valued by employers.

03 Career Advancement

Whether you’re looking to switch careers or advance in your current role, Generative AI Training will significantly enhance your skill set, positioning you for better job prospects, higher salaries, and greater professional recognition.

04 Creative Freedom

Generative AI allows you to create innovative and creative content, such as images, text, music, and more. With the right skills, you’ll be able to push the boundaries of digital creation and unlock new ways of thinking.

05 Improved Problem-Solving Skills

The complexity of Generative AI algorithms will help sharpen your problem-solving and analytical skills, allowing you to tackle complex challenges with innovative solutions.

06 Diverse Applications Across Industries

From developing AI-powered art and enhancing customer experiences to driving automation in various sectors, learning Generative AI gives you the flexibility to work in diverse fields, shaping the future of technology.

07 Ethical and Responsible AI Development

With the rise of AI, ethical considerations are becoming increasingly important. Learning Generative AI allows you to develop a strong understanding of responsible AI practices, ensuring that your work contributes positively to society.

08 Prepare for the Future of Technology

As Generative AI continues to advance, it is poised to revolutionize industries and create new technologies. By learning this skill now, you’ll be well-prepared for the future of technology and digital transformation.

Generative AI Market Trend

Generative AI is rapidly reshaping the tech industry, and its impact is being felt across various sectors. Staying ahead of these trends can give you a competitive advantage. Here are some key market trends shaping the future of Generative AI:

01

Increased Adoption Across Industries: From healthcare and finance to entertainment and retail, companies are increasingly adopting Generative AI to streamline operations, enhance customer experiences, and create innovative products.

02

Advancements in Deep Learning Models: Generative models like GANs and VAEs continue to evolve, enabling the creation of hyper-realistic content, such as images, videos, and even music, which is revolutionizing digital media and content creation.

03

Ethical AI Development: As the use of Generative AI grows, there is an increasing focus on ensuring the ethical deployment of AI systems. Understanding ethical guidelines and regulations is becoming crucial for professionals in the field.

04

AI-Generated Content: The rise of AI-generated content for marketing, entertainment, and customer service is opening up new avenues for creativity and productivity, allowing businesses to create high-quality content at scale.

05

Growth of AI in Healthcare: Generative AI models are being applied to drug discovery, medical imaging, and personalized treatments, making significant strides in improving healthcare outcomes.

06

Increased Demand for AI Experts: With the rapid expansion of AI technology, there is a growing demand for skilled professionals trained in Generative AI. Organizations are seeking talent capable of implementing AI-driven solutions across various use cases.

07

AI-Powered Automation: Many industries are utilizing Generative AI to automate complex tasks, improving operational efficiency and reducing costs, making it an integral part of digital transformation strategies.

08

Real-Time AI Applications: The demand for real-time AI solutions, such as chatbots, virtual assistants, and personalized recommendations, is growing as businesses focus on enhancing customer experiences and engagement.

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Why is Generative AI So Popular?

01

Endless Creativity
It enables the creation of innovative content across industries, boosting creativity in entertainment, art, and marketing.

02

Content Automation
Generative AI helps businesses automate content creation, improving efficiency and reducing costs.

03

Powerful Deep Learning
Advancements in neural networks and algorithms like GANs have made Generative AI more accurate and realistic.

04

Wide Industry Applications
From healthcare to retail, Generative AI is transforming multiple sectors by solving complex problems and offering personalized solutions.

05

Increased Productivity
It enhances productivity by automating tasks like writing, designing, and coding.

06

Future Potential
The continued evolution of Generative AI promises groundbreaking innovations, making it a key technology for the future.

07

Personalized Experiences
Generative AI delivers customized experiences, improving user engagement and satisfaction.

08

Accessibility
As AI tools become more accessible, businesses and individuals alike can harness the power of Generative AI for innovation.

FAQs

What is Generative AI?

Generative AI involves algorithms that create new, synthetic data like text, images, or sound based on existing patterns. It includes techniques like GANs and VAEs for realistic data generation.

How does Generative AI work?

Generative AI works by learning patterns from large datasets and then generating new content that resembles the original data. It typically uses neural networks for this purpose.

What are the key applications of Generative AI?

Generative AI is used in fields like content creation, synthetic data generation, drug discovery, gaming, and even music composition. Its applications are expanding across industries.

What programming language is needed for Generative AI?

Python is the primary language used in Generative AI due to its vast libraries and frameworks, such as TensorFlow, PyTorch, and Keras.

Can I take the Generative AI course without prior experience in AI?

Yes, our course is designed to accommodate beginners. We cover foundational concepts before advancing to more complex topics like GANs and deep learning models.

Is there a certification provided after the course?

Yes, upon successful completion, you will receive a certification from VR Software Trainings that demonstrates your proficiency in Generative AI.

How long does it take to complete the Generative AI course?

The course typically takes 4-6 weeks, depending on your mode of learning (offline, online, or corporate training).

What are the prerequisites for this course?

Basic knowledge of Python and machine learning concepts is helpful but not required. We start from the basics and build up to advanced topics.

What tools will I learn to use in this course?

You will learn to use tools like TensorFlow, PyTorch, Keras, Hugging Face, and OpenAI GPT for building and deploying generative models.

Is there any job placement assistance?

Yes, we provide job placement assistance through our network of industry partners, helping you land your first role in AI or machine learning.

Can I take the course online?

Yes, we offer the Generative AI course online, so you can learn from anywhere at your own pace while receiving the same quality training as offline courses.

Is this course suitable for professionals already working in AI?

Yes, this course is ideal for professionals who want to specialize in Generative AI, as we cover both introductory and advanced topics.

How is the course delivered?

The course is delivered through live sessions, recorded lectures, and practical hands-on projects that ensure a comprehensive understanding of the subject matter.

What industries use Generative AI?

Industries like healthcare, finance, e-commerce, entertainment, and automotive are actively leveraging Generative AI for various applications like content creation, personalization, and automation.

What career opportunities are there in Generative AI?

After completing the course, you can work as a Generative AI Engineer, Machine Learning Engineer, Data Scientist, or AI Researcher in various sectors.

What are the career prospects after completing the course?

With growing demand for AI professionals, completing the course opens opportunities for high-paying roles in tech companies, startups, and research institutions.

How do I enroll in the Generative AI course?

You can easily enroll through our website by selecting the course mode (online/offline) and filling out the enrollment form.

Will I get hands-on experience in this course?

Yes, the course includes hands-on projects where you will apply what you learn in real-world scenarios, including working with generative models like GANs.

What is the difference between Generative AI and traditional AI?

Traditional AI focuses on classification and prediction, whereas Generative AI creates new data or content by learning the underlying patterns in datasets.

What makes VR Software Trainings stand out for Generative AI training?

Our expert instructors, practical approach, and focus on the latest tools and technologies make our Generative AI training one of the best in Hyderabad.