The AI Edge — AI Training in Amritsar
Our AI Edge course in Amritsar, 12 Weeks. We don't just teach AI concepts. We teach you to build, deploy, and optimize real AI-powered applications using open-source, local-first tools.
₹4,500 / monthSee feesOpen-Weight Models
Local Execution
Years Mentorship
Real Capstone Projects
Master the AI Stack of Tomorrow
Six core modules designed to take you from AI basics to deploying production-ready, self-hosted AI systems.
Local LLMs & Open-Weight Models
Run powerful language models directly on your machine. Learn tokenization, context windows, quantization, and inference engines.
RAG & Vector Databases
Build chatbots that answer questions from your own documents. Master retrieval-augmented generation with vector search.
AI-Driven Development
Supercharge your workflow with AI in your IDE, automated testing, CI/CD summaries, and intelligent debugging.
Privacy-First & Edge AI
Deploy AI that keeps data on-premise. Fine-tune models and run them on edge devices without sending data to the cloud.
AI Agents & Multi-Modal AI
Build autonomous agents that use tools, process images, and complete complex tasks through reasoning.
Self-Hosted Production AI
Deploy your own AI infrastructure with OpenAI-compatible APIs, monitoring, and production-ready scaling.
How the AI Edge Pipeline Works
From raw data to intelligent, self-hosted AI responses — all running on your own infrastructure.
Data
Documents, code, databases
Embed
Vector embeddings & indexing
Retrieve
Semantic search & context
Generate
Local LLM inference
Respond
AI answer to the user
Your AI Edge Journey
A structured progression from running your first local model to deploying a complete self-hosted AI product.
Local LLM Foundations
- Open-weight LLM landscape & Ollama setup
- Tokenization, context windows, quantization
- RAG pipelines with vector databases
AI-Driven Dev Workflows
- AI in your IDE and automated code review
- CI/CD with AI-generated summaries
- AI-assisted debugging & documentation
Privacy-First AI
- On-premise inference & fine-tuning with LoRA
- Edge deployment and ONNX optimization
- Security, prompt injection defense & benchmarking
Self-Hosted Production Systems
- Self-hosted AI stack with Ollama & vLLM
- OpenAI-compatible API layer & multi-modal AI
- Capstone: deploy a complete local AI product
The AI Edge Stack
Most AI courses teach you to call an API. We teach you to build the API. When you rely on cloud AI, you pay per token, hit rate limits, and lose control of your data. When you run your own models, you control everything.
From Ollama and vLLM to LangChain and Qdrant, you will work with the same open-source stack that cutting-edge AI teams use to build private, scalable, and cost-effective AI systems.
What You Will Build
Local RAG Chatbot
Answer questions from your own documents
AI Dev Agent
Automate code review, tests, and docs
Private AI API
Self-hosted OpenAI-compatible API layer
Production AI Stack
Monitored, scalable, and secure
Tools You Will Master
Join AI Edge
Next batch starts 11 October 2026
Interested in the AI Edge track? Drop your details and we will reach out with the full roadmap and sandbox access.
Free Code Examples
Practise alongside the course with our open, beginner-friendly repositories on GitHub.
View Free Code Examples on GitHubCommon Questions
The things people ask us on the phone before they enrol — answered the same way we would answer them there.
There is no separate price for it. WebPrims charges one fee — ₹4,500 / month — and it covers any course in the catalogue, so the AI Edge course works out at about 3 months — around ₹13,500 in total. No admission fee, no registration fee, and the certificate is included.
Monday to Saturday, with batches starting at 11:00 AM, 1:00 PM, 3:00 PM and 5:00 PM. Each slot runs up to two hours — sometimes a session finishes early, never late. That works out at roughly 144 hours of class time across the 12 Weeks. Pick whichever time fits around college or work, and move to another later if your timetable changes; it is the same AI Edge syllabus in each. We are closed on Sunday.
12 Weeks of taught material, which is about 3 months of AI Edge classes. That is the pace of the syllabus; how long you actually take depends on how often you turn up, and nobody is pushed to keep up with the batch.
Some programming, ideally Python. This is our flagship AI program and it moves quickly; beginners are better served starting on Python first.
A self-hosted AI stack you own: open-weight models running on your own hardware, a RAG pipeline over your own documents, and the whole thing in production without a single cloud API key.
Cost and control. An API bill scales with every user you add, and your client's data leaves the building to earn it. A model on your own machine does neither. For Indian businesses watching both, that argument closes deals.
Yes. Book a free demo class and sit in a real AI Edge session — one that was running anyway, not a presentation arranged for you. Write some code on one of our machines, ask the students already in it what it is like, and decide afterwards. Nothing to pay and no obligation.
Something here not answered? Ask us directly or book a free demo class and put it to the AI Edge mentor in person.
Weighing this up against something similar? AI Courses in Amritsar sets them side by side and says which suits whom.