VR Generative AI

Experienced AI & Technology Trainers

Our Trainers

Learn Generative AI from experienced professionals with industry exposure, technical expertise, practical demonstrations and project-oriented training.

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Senior Generative AI Trainer

Mr. Sri Chaitanya

Senior Generative AI Trainer

Mr. Sri Chaitanya is a Senior Generative AI Trainer with 10+ years of industry experience, including experience working in an MNC environment. His work and training focus on modern Generative AI technologies, Large Language Models, Prompt Engineering, RAG, AI applications, and practical Generative AI development.

One of the key strengths of his training approach is the way he breaks down complex topics. His sessions combine structured explanations with demonstrations and project-oriented learning, helping learners move from understanding a concept to seeing how it can be applied.

Areas of Expertise

  • Generative AI
  • Large Language Models
  • Prompt Engineering
  • RAG & AI Applications
  • AI Tools & Workflows
  • Generative AI Development
  • Practical AI Projects
  • Industry-Oriented AI Training

Professional & Industry Experience

With more than 10 years of industry experience, Mr. Sri Chaitanya brings substantial exposure to technical training and the practical application of AI technologies.

His areas of focus include LLM applications, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI tools and workflows, and Generative AI development. His training also places considerable attention on projects, allowing learners to see how individual concepts come together when developing AI applications.

Training & Teaching Focus

His sessions begin with the fundamentals and gradually move into more application-focused areas of Generative AI. Learners explore LLM architecture and applications, Prompt Engineering, RAG concepts, AI tools and workflows, practical demonstrations, and project development.

Topics such as RAG and LLM-based application workflows are particularly relevant for learners looking to move beyond basic Generative AI usage and understand how AI applications are structured.

Key Training Strengths

  • Generative AI and LLM concepts
  • Prompt Engineering
  • RAG concepts and applications
  • AI tools and workflows
  • Practical demonstrations
  • Project-oriented Generative AI development

As a Senior Generative AI Trainer, Mr. Sri Chaitanya focuses on making modern AI concepts understandable and applicable, helping learners develop practical knowledge through demonstrations and project-based learning.

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Senior Data Scientist & Weekdays Trainer

Mr. Dhanush

Senior Data Scientist & Weekdays Trainer

Mr. Dhanush is a Senior Data Scientist and Generative AI Trainer with 4+ years of industry experience, including experience working in an MNC environment. His areas of specialization bring together Data Science, Machine Learning, Artificial Intelligence, and Generative AI, giving his training a broader AI foundation.

His approach is practical and example-driven. Instead of looking at Generative AI in isolation, he helps learners understand it alongside the AI, Machine Learning, Data Science, and Python concepts that form an important part of the wider technology landscape.

Areas of Expertise

  • Generative AI
  • Data Science
  • Machine Learning
  • Python for AI
  • Artificial Intelligence & ML Applications
  • LLM Fundamentals
  • Practical AI Projects
  • Project-Based Training

Professional & Industry Experience

Mr. Dhanush has more than 4 years of industry experience and works across areas involving Data Science, Machine Learning, and Artificial Intelligence. His technical focus also includes Generative AI, Python for AI applications, and Large Language Model fundamentals.

This combination allows him to approach Generative AI from both an AI/ML foundation and an application perspective. His training incorporates practical examples and projects to help learners connect concepts with implementation.

Training & Teaching Focus

His training covers Generative AI fundamentals, AI and Machine Learning concepts, Python for AI applications, LLM fundamentals, practical AI tools, hands-on exercises, and Generative AI projects.

For learners who are developing their foundation in AI and want to progress toward Generative AI, his coverage of Python, Data Science, Machine Learning, and LLM fundamentals provides a connected learning path.

Key Training Strengths

  • Artificial Intelligence and Machine Learning
  • Data Science
  • Python for AI applications
  • Generative AI fundamentals
  • LLM fundamentals
  • Hands-on exercises and project-based learning

As Senior Data Scientist & Weekdays Trainer, Mr. Dhanush brings together Data Science, Machine Learning, and Generative AI to help learners develop practical AI knowledge and apply what they learn through exercises and projects.

RK
AI & Data Engineering Professional
Generative AI Trainer

Mr. Raghavendra KVS

AI & Data Engineering Professional | Generative AI Trainer

Mr. Raghavendra KVS is a technology professional with experience across software development, technology and data-oriented roles. His professional background includes experience with organisations such as RP India Private Limited, Wells Fargo, IBM India and Synechron.

His technical interests and recent professional learning activities cover areas including Python, Data Science, Machine Learning, Data Analytics and modern Generative AI technologies. His public professional activity also includes educational content covering Python and NumPy concepts, Machine Learning and the evolving AI ecosystem.
View Professional LinkedIn Profile →

Areas of Technical Expertise

  • Python Programming
  • Data Science
  • Data Analytics
  • Machine Learning
  • Artificial Intelligence
  • Generative AI
  • Large Language Models
  • RAG Concepts
  • AI Ecosystem & Workflows
  • NumPy & Python Libraries

Professional & Industry Experience

Mr. Raghavendra KVS has built his professional background across multiple technology-focused organisations and roles. His publicly available professional profile lists experience associated with RealPage India Private Limited, Wells Fargo, IBM India and Synechron.

This professional journey provides exposure to software, technology and data-oriented environments, creating a broader foundation for understanding how programming, data and AI technologies are used in professional settings.

AI & Generative AI Focus

His recent professional learning and public technical activity demonstrates an interest in the evolving AI ecosystem, including Machine Learning, Generative AI, Large Language Models, Retrieval-Augmented Generation (RAG) and Agentic AI.

He has also shared educational material explaining Python, NumPy, Machine Learning and broader AI learning paths, helping connect foundational programming and data concepts with newer AI technologies.

Training & Learning Focus

His learning-focused content follows a structured approach, beginning with foundational programming and data concepts before moving toward Machine Learning and modern AI technologies.

This approach can help learners understand the relationship between Python, Data Science, Machine Learning, Generative AI, LLMs, RAG and Agentic AI, rather than treating each technology as a completely separate subject.

Professional Technology Journey

Software Development
Data & Technology
Python
Data Science
Machine Learning
Generative AI
LLMs
RAG
Agentic AI

Mr. Raghavendra KVS brings a technology-oriented perspective to AI learning, connecting programming, data, Machine Learning and modern Generative AI concepts to help learners understand the broader AI technology landscape.

Why Our Trainer Profiles Matter for Practical Learning

Our trainer information highlights professional experience, technical expertise, teaching focus and project-oriented learning areas so that learners can understand who is guiding their Generative AI training.

Industry Experience

Trainers with professional industry exposure across AI and related technology domains.

Technical Expertise

Coverage across Generative AI, LLMs, Prompt Engineering, RAG, Data Science and Machine Learning.

Practical Learning

Demonstrations, hands-on exercises and project-oriented learning are part of the training approach.

Application Focus

Learners are guided from fundamental concepts toward practical AI applications and workflows.

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