AI · ML · Deep Learning · GenAI · Build RAG · LLM Fine-Tuning · Python · MERN · MEAN Stack · AI-Powered AppsAI Internship in Jalandhar — 45 Days · 3 Months · 6 MonthsNo Need to Go to Chandigarh or Mohali — Learn AI Right Here in JalandharAfter +2? Start Your AI Career with Grow2Grab InfotechIndustry Expert Mentors Who Actually Ship AI — Not Just Teach ItUpcoming Batch Enrolling Now — 45 Days · 3 Months · 6 Months InternshipMake Your Future Bright — AI Internship Starting Soon in JalandharReal Projects. Real Mentors. Real Career — Grow2Grab Infotech JalandharCall Us Now — +91 76579 61346 · Grow2Grab Infotech JalandharAI · ML · Deep Learning · GenAI · Build RAG · LLM Fine-Tuning · Python · MERN · MEAN Stack · AI-Powered AppsAI Internship in Jalandhar — 45 Days · 3 Months · 6 MonthsNo Need to Go to Chandigarh or Mohali — Learn AI Right Here in JalandharAfter +2? Start Your AI Career with Grow2Grab InfotechIndustry Expert Mentors Who Actually Ship AI — Not Just Teach ItUpcoming Batch Enrolling Now — 45 Days · 3 Months · 6 Months InternshipMake Your Future Bright — AI Internship Starting Soon in JalandharReal Projects. Real Mentors. Real Career — Grow2Grab Infotech JalandharCall Us Now — +91 76579 61346 · Grow2Grab Infotech Jalandhar
AI Courses in Jalandhar, Punjab

Best AI Coursesin Jalandhar, Punjab.

Grow2Grab Infotech runs eight practical AI programmes from its centre in Jalandhar — from Python and machine learning foundations through to deep learning, generative AI, LLMs and RAG, autonomous agents, AI automation and production deployment. Every programme is taught live by working AI engineers, runs between six and twelve weeks, and ends with a project you can show an employer.

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Jalandhar + Online6 – 12 weeks8 programmesCertificate + portfolio
AI Programs

AI courses available in Jalandhar

Each program is built around outcomes — real skills, real projects, real jobs.

1

AI Fundamentals & Core Architecture

  • Python, NumPy, Pandas
  • Math for AI
  • Machine Learning (Sklearn, RF, XGBoost)
2

Deep Learning & Core Frameworks

  • PyTorch / TensorFlow
  • Computer Vision (YOLOv11)
  • Transformers & Time Series
3

Generative AI, LLMs & Advanced RAG

  • LLMs, Fine-Tuning (LoRA, QLoRA)
  • Vector DBs, RAG, Hybrid Search
  • LangChain, LlamaIndex, MCP
4

Autonomous Agents & Multi-Agent Frameworks

  • CrewAI, LangGraph
  • n8n, Zapier, Make.com
  • Voice Agents (Deepgram, Twilio)
5

Production, Deployment & Edge AI

  • ONNX, TensorRT, Quantization
  • Docker, FastAPI, APIs
  • GPU Servers, CI/CD
6

Full-Stack AI Application Development

  • Next.js, Supabase, Prisma
  • Server-Driven UI (SDUI)
  • AI Testing & QA
7

Specialized AI Domains

  • Recommendation Systems
  • Financial & Stock Analysis
  • NLP & Semantic Search
8

AI-Powered Growth, SEO & Marketing

  • AI SEO & Programmatic SEO
  • GEO (Generative Engine Optimization)
  • AI Marketing & Automation
Find your path

Which AI course should you choose?

Find the line below that sounds most like you — each card points to the right programme.

I'm completely new to AI and I don't code

01

Start with AI Fundamentals & Core Architecture. It opens with Python, NumPy and Pandas before touching any AI, then covers the maths you actually need, then machine learning with scikit-learn. Ten weeks, and it assumes nothing.

Machine Learning course in Jalandhar

I want to learn Machine Learning specifically

02

Eight to ten weeks on Python for ML, core algorithms — regression, decision trees, Random Forest, XGBoost, SVM, KNN — unsupervised learning, model evaluation and tuning, and deploying models through FastAPI. You finish with three or more ML projects.

Machine Learning course in Jalandhar

I want to work with ChatGPT-style models

03

Take Generative AI, LLMs & Advanced RAG — the most requested programme here. Ten to twelve weeks on how LLMs work, prompt engineering, RAG pipelines, vector databases, LangChain and LlamaIndex, and fine-tuning. Basic Python recommended.

Generative AI course in Jalandhar

I want to go deep on RAG and vector databases

04

The LLM & RAG course is the specialisation: chunking strategies, embedding models, naive versus advanced versus modular RAG, Pinecone, Weaviate, Chroma and FAISS, hybrid retrieval and RAG evaluation.

LLM & RAG course in Jalandhar

I want to build AI agents

05

Autonomous Agents & Multi-Agent Frameworks — eight weeks on CrewAI, LangGraph, multi-agent orchestration and voice agents with Deepgram and Twilio. Agents call LLMs, so a working understanding of LLMs helps.

AI Agents course in Jalandhar

I want to automate work, not become an engineer

06

Start with AI Automation. It uses n8n, Zapier and Make.com alongside LLM-powered workflows, and it is the most accessible route for someone who wants results without a heavy coding background.

AI Automation course in Jalandhar

I already build web apps and want to add AI

07

Full-Stack AI Application Development — ten weeks on Next.js, Supabase and Prisma, server-driven UI, AI backend integration and AI testing. It assumes you can already build a web application.

See the full syllabus

I want practical experience, not just a certificate

08

Do a course first, then apply for the paid internship. Fourteen tracks, two to four months on real client projects, with a stipend, a certificate and a letter of recommendation. Training builds the skill; the internship gives you the work experience.

AI internship in Jalandhar

I'm a working professional with limited time

09

Pick one specialisation rather than the full path. Generative AI, AI Agents and AI Automation each run six to ten weeks and stand alone if you have some technical background. Sessions are recorded, so a missed class is not a lost class.

Talk to a counsellor

I'm a college student — B.Tech, BCA or MCA

10

With two or more semesters left, run AI Fundamentals then Generative AI, and use the internship in your final year. Already in final year? Go straight to Generative AI and build your capstone into your portfolio before placement season.

Book a free demo
Learning Path

How the AI learning path fits together

The programmes form a progression. Knowing where you sit on it makes the choice much simpler.

1
Step 1

Foundations

Python, NumPy, Pandas, and the statistics and linear algebra machine learning actually depends on. You finish able to load a real dataset, clean it, explore it and reason about it. This unlocks everything that follows.

2
Step 2

Machine Learning

Supervised and unsupervised learning with scikit-learn, Random Forest and XGBoost; evaluation metrics, cross-validation and feature engineering. You finish able to build a model that makes a defensible prediction — and to explain why it is or isn't any good.

3
Step 3

Deep Learning

Neural networks in PyTorch and TensorFlow, CNNs for computer vision, object detection with YOLOv11, and transformers with self-attention. You finish able to train a network on a GPU and understand the architecture underneath every modern language model.

4
Step 4

Generative AI and LLMs

How large language models work, prompt engineering, and fine-tuning open-source models with LoRA and QLoRA. You finish able to build on top of GPT, Claude and Llama rather than only using them.

5
Step 5

RAG

Chunking, embeddings, vector databases and hybrid retrieval with LangChain and LlamaIndex. This is how you make a language model answer questions about your own documents — the architecture behind most real business AI applications.

6
Step 6

Agents and automation

CrewAI, LangGraph, multi-agent orchestration, voice agents, and workflow automation with n8n, Zapier and Make.com. You finish able to build systems that plan and carry out multi-step tasks, not just answer single prompts.

7
Step 7

Deployment and production

ONNX, TensorRT, quantization, Docker, FastAPI, GPU servers, CI/CD and edge deployment.This is the stage most courses skip, and the one that separates a notebook from a product.

You don't have to walk the whole path. Most learners join at the stage matching their current level and take two or three programmes. The demo class includes a short conversation about where you should start.

Projects

Projects you build during the course

Every programme ends in a capstone. Each one is chosen to demonstrate a specific, interview-relevant skill — and it goes into your GitHub portfolio.

Project 01Generative AI, LLMs & Advanced RAG

AI Resume Screener

  • An LLM-powered tool that ranks CVs against a job description
  • You learn document parsing, embeddings and prompt design for structured output
  • It demonstrates that you can apply a language model to a real business process rather than just chat with one
LLMsEmbeddingsPython
Project 02Generative AI / LLM & RAG

Customer Support Bot

  • A RAG chatbot trained on a supplied knowledge base
  • You learn chunking strategies, vector storage, retrieval, and grounding an answer in source documents
  • It demonstrates the single most commercially requested AI skill right now
RAGVector DBLangChain
Project 03Specialized AI Domains / Machine Learning

Stock Price Predictor

  • A model trained on real market data with visualised forecasts
  • You learn time series handling, feature engineering, and — importantly — how to evaluate a model honestly rather than overfit it
  • It demonstrates disciplined ML practice
MLPandasPlotly
Project 04Deep Learning & Core Frameworks

Image Classifier

  • A computer vision model that identifies and labels objects
  • You learn CNN architecture, transfer learning and working with image data at scale
  • It demonstrates practical deep learning rather than theory
PyTorchCNNsTransfer Learning
Project 05Autonomous Agents & Multi-Agent Frameworks

AI Automation Agent

  • An agent that reads email and drafts replies
  • You learn tool use, function calling and agent state management
  • It demonstrates that you can build a system that acts, not just one that responds
AgentsFunction Callingn8n
Project 06Full-Stack AI Application Development

Generative AI App

  • A full-stack web application with a generative AI backend, deployed to production
  • You learn API integration, streaming responses and deployment
  • It demonstrates end-to-end ownership, which is what hiring managers look for in a portfolio
Next.jsSupabaseClaude API

What learning at Grow2Grab actually looks like

Classes are live, not pre-recorded

You attend a scheduled session with a mentor, ask questions while the code is on screen, and get an answer in the room. Every session is also recorded, so missing one doesn't mean falling behind.

Doubt resolution runs between classes

Grow2Grab commits to 24-hour doubt resolution through a dedicated community channel, plus weekly office hours with your mentor.

Batches are capped at 20 students

Small enough that a mentor can see everyone's screen and nobody coasts through the term.

Learn in person or online

Offline classes run at the Jalandhar centre — KK Tower, Building 43 Central Market, behind Narinder Cinema, close to the Bus Stand. Online live batches serve learners elsewhere in Punjab and across India. Same mentor, same syllabus, same capstone either way.

Your mentors build AI for a living

Grow2Grab Infotech is a working AI and software company as well as a training institute — the team ships custom AI integrations, LLM work, autonomous agents and ML systems for clients. The people teaching the syllabus are the people writing that code.

Visiting before you decide

You're welcome to come and see a class before enrolling. Call ahead so a mentor is free to talk, and bring the questions that matter: batch size, what happens if a class is missed, and what your child or you will have built by week ten.

Duration, format, fees and admission

Programme length

Programmes run between six and twelve weeks. AI-Powered Growth & SEO is the shortest at six weeks; Autonomous Agents, Production & Edge AI and Specialized AI Domains run eight weeks; AI Fundamentals, Deep Learning and Full-Stack AI run ten weeks; Generative AI runs ten to twelve weeks depending on the batch.

₹20,000 – ₹40,000

Generative AI course at the Jalandhar centre, depending on track and batch duration. EMI available. Fees for the other seven programmes vary by length and batch — get the full fee structure on WhatsApp.

EMI & ISA

EMI on course fees, and an Income Share Agreement for qualifying students — you pay after you are placed.

Eligibility

There is no formal qualification requirement. The foundations programme assumes no prior coding. Intermediate and advanced programmes assume basic Python — and if you don't have it yet, the counsellor will tell you so rather than sell you the wrong course.

How admission works

1

Book a free demo. Call, message on WhatsApp, or use the enquiry form. No payment and no commitment.

2

Attend the demo and a short counselling conversation. You see how a real class runs and get a recommendation on which programme fits your background.

3

Choose your programme and batch. Confirm timing and mode — offline in Jalandhar or online.

4

Complete enrolment. Discuss fee options, including EMI and whether you qualify for the Income Share Agreement.

5

Start learning. You receive your schedule, mentor and community access before the first session.

After you finish

Certificate, career support and the internship pathway

These are four different things, and it's worth being precise about each.

01

The certificate

On completion

On completing a programme you receive a Grow2Grab certificate of completion and a LinkedIn badge. It records what you studied and what you built. It is not — and nobody's certificate is — a guarantee of employment. What actually moves a hiring conversation is the project you can open and explain.

02

Your project portfolio

GitHub capstone

Every programme ends in a capstone that goes into your GitHub. In an interview this does more work than any certificate, because it is evidence rather than assertion.

03

Placement support

Included for all students

Every enrolled student gets resume review, GitHub portfolio guidance, LinkedIn optimisation, mock interviews and interview preparation, plus referrals through Grow2Grab's industry network. This is support, not a placement guarantee — the outcome depends on your work, your interviews and the market.

04

The internship pathway

Separate paid programme

A separate, paid programme, and where training turns into work experience. Fourteen tracks — including AI, Machine Learning and Deep Learning — lasting two to four months on real client projects with one-to-one mentorship. You present the final project to a panel and receive a certificate and a letter of recommendation. Top performers may receive a pre-placement offer.

Who it's for

Who these AI courses are for

Built for different starting points — find yours below.

01

College students

B.Tech, BCA, MCA, BSc and computer science students in Jalandhar and across Punjab. With time before placements, run foundations then a specialisation. In your final year, take one specialisation and build the capstone into your placement portfolio. Batch timings can work around your college schedule.

02

Working professionals

Developers, analysts and IT professionals adding AI to an existing profile. Take a single specialisation rather than the full path — Generative AI, AI Agents and AI Automation each stand alone in six to ten weeks. Sessions are recorded, so a work trip doesn't cost you a module.

03

Career switchers and non-CS backgrounds

You're not starting at a disadvantage — you're starting at the beginning, which the foundations programme is built for. It opens with Python from scratch. Expect to spend longer on the first four weeks than a CS graduate would. Come to a demo and be honest about your background; the counsellor's job is to tell you the realistic path, not the fastest-sounding one.

04

Parents evaluating an institute

Three things are worth checking at any AI institute, including this one. Is the teaching live? Here it is — scheduled sessions with a mentor present, not a video library. Does the student build something? Every programme ends in a project that goes into a public portfolio. Can you see the place? The centre is at KK Tower, Building 43 Central Market, behind Narinder Cinema by the Bus Stand — visit, sit in on a free demo with your child, and ask the mentor directly about batch size and missed classes. Fee options include EMI, and an Income Share Agreement is available to qualifying students. Call +91 76579 61346 to arrange a visit.

Why Grow2Grab

Why learn Artificial Intelligence
at Grow2Grab in Jalandhar

8Programmes
LiveMentor-led
RealProjects
100%Practical
01

A working AI company, not only a training institute

Grow2Grab Infotech builds custom AI integrations, LLM systems, autonomous agents, ML models and automation pipelines for clients. The syllabus reflects what the team is actually shipping.

02

The curriculum covers what came after machine learning

Most AI courses in the region stop at classical ML and deep learning. These programmes continue through LLMs, RAG, vector databases, multi-agent frameworks, workflow automation, and production deployment with Docker, FastAPI, ONNX and TensorRT.

03

Choose a path instead of buying a bundle

Eight separate programmes means you take the six to twelve weeks that match your goal, rather than committing to a six-month course covering things you don't need.

04

Genuinely local, with online reach

The centre is in Jalandhar, in Central Market near the Bus Stand — easy to reach from most of the city and the surrounding towns. Online batches extend the same programmes to learners elsewhere in Punjab.

AI courses in Jalandhar

Frequently Asked Questions

Get Started

Start your AI journey
in Jalandhar today.

Book a free demo class in Jalandhar

The fastest way to decide is to sit in on a class. You'll see how a session actually runs, meet a mentor, and get a straight recommendation on which of the eight programmes fits your background — including being told if now isn't the right time. No payment, no obligation.

WhatsApp +91 76579 61346Call +91 76579 61346

Grow2Grab Infotech · KK Tower, Building 43 Central Market, behind Narinder Cinema, Near Bus Stand, Jalandhar, Punjab

grow2grab@gmail.com

Explore by specialisation

Full syllabus, fees & FAQs on each dedicated course page

Machine Learning Course

Jalandhar

Python, scikit-learn, real ML models & deployment. 8-10 weeks.

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Deep Learning Course

Jalandhar

CNNs, transformers, PyTorch & computer vision. 8-10 weeks

View Details

Generative AI Course

Jalandhar

LLMs, RAG, AI agents & fine-tuning. 10-12 weeks

View Details

LLM & RAG Course

Jalandhar

Large language models, RAG pipelines & vector databases.

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AI Agents Course

Jalandhar

CrewAI, LangGraph, multi-agent systems & voice agents.

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AI Automation Course

Jalandhar

n8n, Zapier, Make.com & LLM-powered workflows.

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AI Internship

Jalandhar

Fourteen tracks,2-4 months, paid, with certificate and LOR.

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All training programmes

Jalandhar

The complete Grow2Grab course catalogue, beyond AI.

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AI carrer guides

Jalandhar

Learning paths,tooling and career notes from the team.

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