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6-month career track to become a Students AI Expert

Graduate with AI skills, projects and a portfolio that gets interviews.

₹7,999₹20,00060% OFF

Get 100% fees back as a reward if you complete the 6-month challenge.

Free Career Assessment
ARSK

250k+ learners

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AI for Students programme illustration

AI for Students

Foundation → Professional → Master · ₹4 – 18 LPA (fresher)

1:1

Live mentors

3+

Projects

3 levels

Certificate

Mentors live now

1-on-1 live doubt solving with expert mentors

Never stay stuck. Real practitioners join you on call, review your screen and unblock you the same evening.

Daily live doubt support

Mentors online 7 PM – 11 PM, every single day.

7 days / week

Instant doubt clearing

Audio + screen share sessions until it truly clicks.

< 5 min wait

Personalised guidance

Project reviews and 1:1 career mapping with your mentor.

1:1 sessions

Portfolio & CV building

Line-by-line help to make you recruiter-ready.

Recruiter-ready
Overview

Everything in this career track

Earning potential

₹4 – 18 LPA (fresher)

Typical range for AI for Students roles after completing all three levels and building a recruiter-ready portfolio.

Certification

Level-wise ACRY certificate

Commitment

6–8 hrs / week, self-paced

Tools you'll master

Hands-on with the exact AI stack hiring teams ask for in AI for Students interviews.

Pythonscikit-learnStreamlitGitHub

3 levels

Foundation → Master

100%

Project-based learning

Curriculum

Foundation Professional Master

One ladder, three levels. Each level ends with a shippable project, a certificate and a clear next step.

01

Foundation

AI fundamentals mapped to students

Weeks 1-4 · 40 hrs 4 modules · 11 topics

01. How AI actually works

6 hrs
  • LLMs, tokens, context windows and hallucinations explained simply
  • Where AI genuinely helps in students — and where it fails
  • Responsible use, data privacy and review checkpoints

02. Prompt engineering for Students

10 hrs
  • Role, context, constraint and example-driven prompt frameworks
  • Reusable prompt library for recurring students tasks
  • Chain-of-task prompting and output quality scoring

03. Core toolkit — Python, scikit-learn, Streamlit

12 hrs
  • Hands-on setup and real workflows in Python
  • Hands-on setup and real workflows in scikit-learn
  • Hands-on setup and real workflows in Streamlit

04. Foundation mini project

12 hrs
  • Build a starter version of the capstone ai app
  • Mentor review, rework and Foundation certificate

Level outcome: Confidently use AI copilots inside day-to-day students work.

Most chosen02

Professional

Job-ready students systems

Weeks 5-12 · 90 hrs 4 modules · 12 topics

01. Data, automation and workflow design

20 hrs
  • Map and automate the highest-value students workflows
  • Connect GitHub with APIs, Zapier / n8n style automation
  • Quality gates, human-in-the-loop and error handling

02. RAG, agents and custom copilots

24 hrs
  • Vector databases, retrieval and grounding on your own documents
  • Build a students agent that completes multi-step tasks
  • Evaluation: accuracy, cost and latency tracking

03. Applied build — Data analysis project

26 hrs
  • End-to-end build of the data analysis project
  • 3+ portfolio projects
  • Weekly mentor code / work reviews

04. Portfolio, resume and interviews

20 hrs
  • Case-study style portfolio with before/after metrics
  • Resume and LinkedIn rewritten for AI Associate roles
  • AI-scored mock interviews with feedback

Level outcome: Strong AI fundamentals

03

Master

Leadership, strategy and placement

Weeks 13-20 · 80 hrs 4 modules · 11 topics

01. Capstone — Portfolio site

30 hrs
  • Enterprise-scale build of the portfolio site
  • Architecture review, cost model and documentation
  • Live demo day in front of a mentor panel

02. AI strategy and team enablement

18 hrs
  • Build an AI adoption roadmap for a students function
  • Governance, risk, vendor selection and ROI modelling
  • Train and lead a team on new AI workflows

03. Consulting and freelance practice

14 hrs
  • Scoping, proposals and pricing for AI projects
  • Client discovery calls and delivery playbook

04. Placement accelerator

18 hrs
  • Referrals and applications for AI Associate, Junior Data Analyst, AI Intern → Engineer
  • 1:1 career mapping, salary negotiation and offer review
  • Master certificate and lifetime alumni access

Level outcome: Placement readiness

Outcomes

What you walk away with

Skills, job titles and a portfolio — the three things a recruiter actually checks.

3 skills

Learning Outcomes

  • Strong AI fundamentals
  • 3+ portfolio projects
  • Placement readiness
3 roles

Career Opportunities

  • AI Associate
  • Junior Data Analyst
  • AI Intern → Engineer
3 projects

Portfolio Projects

  • Capstone AI app
  • Data analysis project
  • Portfolio site
Roadmap

Your 6-month AI for Students roadmap

Six focused months — what you learn, what you build and what you can show at the end of every month.

6-Month Roadmap

AI for Students — month 1 to month 6

6 phases · 1 month each
  1. Month 101

    AI foundations

    Understand AI and set up your students toolkit

    • Career assessment and personalised roadmap
    • Prompt engineering fundamentals
    • Set up Python and scikit-learn

    Personal prompt library

  2. Month 202

    Applied tools

    Daily students workflows run with AI

    • Automate 3 recurring students tasks
    • Deep dive into Streamlit
    • Mini project #1 with mentor review

    Capstone AI app

  3. Month 303

    Systems build

    Data, automation and integrations

    • Connect tools with APIs and automation
    • Design quality checks and review loops
    • Weekly live doubt rooms

    Automated workflow with metrics

  4. Month 404

    AI agents & RAG

    Build an intelligent students assistant

    • Vector database and retrieval on your own data
    • Multi-step agent with tool calling
    • Evaluate accuracy, cost and speed

    Data analysis project

  5. Month 505

    Portfolio & proof

    Turn work into recruiter-ready evidence

    • Case-study portfolio with before/after numbers
    • Resume and LinkedIn rewrite
    • Deploy and document the capstone

    Portfolio site

  6. Month 606

    Interview & launch

    Land AI Associate

    • AI-scored mock interviews and feedback
    • Referrals, applications and outreach plan
    • Salary negotiation and 30-60-90 day job plan

    Certificate + interview pipeline

Included

AI career services bundled free

AI Resume Builder

ATS-ready resumes tailored to each AI role.

AI Portfolio Builder

Turn projects into a recruiter-ready portfolio.

AI LinkedIn Optimizer

Positioning that attracts inbound recruiters.

AI Mock Interview

Realistic interviews with instant scoring.

AI Skill Gap Analysis

Know exactly what to learn next.

AI Career Roadmap

A personalised month-by-month plan.

Ready to start AI for Students?

Join the 6-month challenge, build real projects and get placement support from day one.

Learner reviews

What learners say about AI for Students

Verified reviews from learners who completed the AI for Students track and moved into roles like AI Associate.

Excellent

Rated 4.8 out of 5 based on 12 verified learner reviews for the AI for Students programme.

Every review collected from enrolled learners after course completion

  • 5-star83%
  • 4-star17%
  • 3-star0%
  • 2-star0%
  • 1-star0%
12 May 2026

Finally a AI for Students course that ships work

I came in able to talk about AI but not build with it. By week three I had the Capstone AI app running end to end and could explain every decision in it. That single project got me shortlisted twice.

TS

Tanvi Shah

AI Associate · Bhubaneswar

Verified
15 February 2026

Intense, but the pace is honest

Be ready to put in real hours — the assignments are graded and you get sent back if the Data analysis project does not work. I lost a weekend to it and learned more than a year of videos. Only wish the recordings were indexed better.

GC

Gaurav Chauhan

Junior Data Analyst · Pune

Verified
14 July 2025

Good fit for college students

I was worried it would be too engineering-heavy for my background. It was not. The concepts are taught through the actual work college students do, and the Streamlit module clicked immediately.

AR

Ananya Rathi

College Students · Delhi NCR

Verified
7 February 2025

Salary went up 80%

Two projects, one certificate and a much sharper way of explaining what I do with Python and scikit-learn. I negotiated with a number in my head for the first time and got it.

RD

Rahul Deshpande

AI Associate · Jaipur

Verified
18 February 2026

Practical, not theoretical

Zero fluff slides. Every session ended with something in my repo. The Data analysis project in particular is the closest thing to real production work I have done outside a job.

FS

Fatima Sheikh

Junior Data Analyst · Indore

Verified
16 July 2025

Interview prep was brutally useful

The mock panel asked exactly the kind of questions I later faced for the AI Associate interview — trade-offs, cost, failure modes. Walking in the second time felt like revision, not an exam.

DG

Devansh Gupta

College Students · Bengaluru

Verified

FAQs

AI for Students: your questions answered

Still unsure? Our counsellors answer within 12 hours on working days.