
“I liked how the course focused on fundamentals first and then moved to implementation. The projects were also good enough to include in my resume.”

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.




























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.
Transformers, RAG, fine-tuning, vLLM, evals. Build & deploy production-scale language model apps.
CNNs, ViTs, edge deployment, real-time object detection on NVIDIA Jetson. Lab-heavy, no toy datasets.
Kubernetes, CI/CD for ML, model versioning, A/B testing at 99.9% uptime. Production-grade pipelines.
Quantization, distillation, on-device inference. Ship models to phones, drones, IoT — not just clouds.
Deep learning architectures from first principles. Backprop by hand, then build transformers from scratch.
GPU clusters, distributed training, inference optimization. The plumbing big AI labs run on, demystified.
Vision-language models, audio + text fusion, CLIP, LLaVA. Build assistants that see, hear, and reason.
Tool-use, function calling, multi-step planning. Build agents that actually do work, not just chat.



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.
Real stories from graduates who transformed their careers with VGI Skill.

“I liked how the course focused on fundamentals first and then moved to implementation. The projects were also good enough to include in my resume.”

“Hands-on lessons showed easy ways to study data. Fixed my weak spots and helped my job switch. Nice for real changes.”

“Theory and practice fit well—no early errors. Built my samples fast, made my jump easy. Works from the start.”

“Clustering concepts tied everything together intuitively.”

“The workflow method shared in the training is very practical.”

“Training schedule was efficient and focused on important topics.”

“I learned a lot from the Clustering videos and its implementation and techniques to improve it.”

“Good learning experience with both theory and implementation.”

“Simplified Bagging and Boosting topic helped me to initiate my project design and model Improvement.”

“The project work helped me build something I can confidently show on my resume.”

“Improved my steps to make good accuracy model using the instructors teaching style.”

“The course helped me build a solid understanding of Deep Learning basics.”

“Good guidance from experienced trainers throughout the training.”

“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.”

“Data handling tips were a big help. Made my move from operations to ML smooth, with tools I use every day.”
Join the next cohort or book a 15-minute consultation with our team to map the right track to your goals.