Master
Gen AI & It's Applications
Build Production-Ready AI Systems
Transform your career with hands-on training in LLMs, Computer Vision, Edge AI, and MLOps. Learn from industry practitioners who ship AI to production — not lecture about it.
LLM Systems & Production Deployment
- Meta
- Microsoft
- NVIDIA
- Amazon
- Goldman Sachs
- Mercedes-Benz
- Deloitte
- Walmart
- Flipkart
- Myntra
- Uber
- Ola
- Paytm
- Meta
- Microsoft
- NVIDIA
- Amazon
- Goldman Sachs
- Mercedes-Benz
- Deloitte
- Walmart
- Flipkart
- Myntra
- Uber
- Ola
- Paytm
Choose Your
AI Specialty.
Comprehensive training in the technologies driving the AI revolution — taught by senior engineers who ship GenAI to production. Each track is project-based: you finish with a portfolio, not a certificate.
LLM Systems
Transformers, RAG, fine-tuning, vLLM, evals. Build & deploy production-scale language model apps.
Computer Vision
CNNs, ViTs, edge deployment, real-time object detection on NVIDIA Jetson. Lab-heavy, no toy datasets.
MLOps
Kubernetes, CI/CD for ML, model versioning, A/B testing at 99.9% uptime. Production-grade pipelines.
Edge AI
Quantization, distillation, on-device inference. Ship models to phones, drones, IoT — not just clouds.
Neural Networks
Deep learning architectures from first principles. Backprop by hand, then build transformers from scratch.
AI Infrastructure
GPU clusters, distributed training, inference optimization. The plumbing big AI labs run on, demystified.
Multimodal AI
Vision-language models, audio + text fusion, CLIP, LLaVA. Build assistants that see, hear, and reason.
AI Agents
Tool-use, function calling, multi-step planning. Build agents that actually do work, not just chat.
Aryan Agrahari
NIT Agartala. Builds and ships GenAI systems at scale. Teaches the actual problems engineers hit in production — not toy demos. Joined by co-founders Madhusudan Singh Deo (IIT Kharagpur, Computer Vision & Edge AI) and Akash Kumar (IIT Kharagpur, Deep Learning & Research).
Learn from people who ship — not people who lecture.
Every instructor at VGI has shipped AI to production at a top company. No PhDs reading textbook proofs. No bootcamp recruiters. Just engineers showing you the messy, useful parts of building AI that survives contact with users.
What Our Learners Say
Real outcomes from graduates who turned VGI training into shipped AI and bigger paychecks.
Theory and practice mixed well — skipped early mistakes fast. Built my work samples quick, easing my jump to consulting. Starts working right away.
Projects were meaningful and close to real industry work. I joined as a fresher and walked out shipping production RAG within three months.
Good guidance from experienced trainers throughout the training. The Edge AI track alone paid back the cost — twice over — in my first quarter.
Best part: instructors actually answer your DMs at 2am. Built a multimodal pipeline I'd never have shipped on my own. Worth every rupee.
Switched from data analyst to ML engineer in 6 months. The MLOps track is what most courses skip — and it's exactly what got me hired.
I deployed a YOLO model on Jetson in week three. Three. The labs are no joke — you actually leave with hardware you've programmed.
Stop watching tutorials.
Start shipping AI.
Join the next cohort or book a 15-minute consultation with our team to map the right track to your goals.