mentorship

AI Project Lab

Build 2 real AI projects with expert guidance. Walk into any interview and explain your work with confidence.

3 months Hybrid 1 enrolled

About this programme

Why AI Projects Matter

Every interviewer asks: "Tell me about a project you've built." Most students mumble about their 6th-semester group project that barely worked. AI Project Lab changes that.

You'll build 2 real AI-powered projects with structured expert guidance — not a course, not tutorials, but hands-on mentorship on YOUR projects.

How It Works

You Build. We Guide.

This isn't a coding service. You write the code. We help you think — pick the right problem, choose the right architecture, select the right AI model, and build something that actually works and impresses.

3 Expert Calls Per Project (6 Total)

CallWhenWhat Happens
KickoffProject startIdea validation, problem framing, architecture, tech stack, roadmap
Mid-ReviewMidwayProgress check, design review, course correction
Final ReviewCompletionProject polish, interview prep — "how to explain this in 2 minutes"

Unlimited Email Support

Ask anything, anytime, throughout your 3 months. Architecture questions, model selection, approach validation — we respond within 24-48 hours.

What You'll Be Able to Say in Interviews

"I built an AI-powered resume screener. I started with the problem — most students apply to 50 companies with the same resume. I chose Claude's API because the context window handles full job descriptions. I designed it as a Flask app with a simple frontend. User uploads resume, the app sends it with the JD to the API, and returns a fit score with suggestions."

That answer gets you placed. You understand the problem, made architecture decisions, chose tools with reasoning, and can explain the flow.

Extension

Need more time? After 3 months, continue at ₹999/month with email support + 1 expert call per month.

What you'll learn

How to pick an AI project that impresses interviewers
Choosing the right AI model for your use case
Designing architecture for AI-powered applications
Building with APIs — Claude, OpenAI, and others
How to explain your project confidently in any interview
Real-world software design patterns

Curriculum

Idea selection and validation. Problem framing — what are you solving and why? Architecture design and tech stack selection. Project roadmap with milestones. 1-hour expert call.

Progress check against roadmap. Code and design review. Course correction if needed — are you building this right? Unblock any architectural decisions. 1-hour expert call.

Project completeness check. Code quality and documentation feedback. Interview preparation — how to explain this project in 2 minutes. Demo practice. 1-hour expert call.

Second project idea validation (different domain/approach from Project 1). Architecture and tech stack. New roadmap. 1-hour expert call.

Progress review. Design feedback. Apply lessons from Project 1. 1-hour expert call.

Final project polish. Portfolio review — both projects together. Mock interview practice: "Tell me about a project you built." Resume bullet points for both projects. 1-hour expert call.

Prerequisites

  • Basic Python knowledge (loops, functions, classes)
  • Familiarity with Git and GitHub
  • A laptop with internet access
  • 3rd year or final year engineering student
  • Willingness to dedicate 8-10 hours/week for 3 months
₹4999
₹2999
  • 2 real AI projects for your resume
  • 6 expert calls (3 per project)
  • Unlimited email support for 3 months
  • Interview-ready project explanations
  • Architecture & tech stack guidance
  • No fluff — you build, we guide
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