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6-month career track to become a Researchers AI Expert

Accelerate literature review, experimentation and publication with AI tooling.

₹17,999₹35,00049% OFF

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

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250k+ learners

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AI for Researchers programme illustration

AI for Researchers

Foundation → Professional → Master · ₹6 – 30 LPA

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

₹6 – 30 LPA

Typical range for AI for Researchers 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 Researchers interviews.

PythonPyTorchZotero AIWeights & Biases

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 researchers

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 researchers — and where it fails
  • Responsible use, data privacy and review checkpoints

02. Prompt engineering for Researchers

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

03. Core toolkit — Python, PyTorch, Zotero AI

12 hrs
  • Hands-on setup and real workflows in Python
  • Hands-on setup and real workflows in PyTorch
  • Hands-on setup and real workflows in Zotero AI

04. Foundation mini project

12 hrs
  • Build a starter version of the paper summarisation agent
  • Mentor review, rework and Foundation certificate

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

Most chosen02

Professional

Job-ready researchers systems

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

01. Data, automation and workflow design

20 hrs
  • Map and automate the highest-value researchers workflows
  • Connect Weights & Biases 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 researchers agent that completes multi-step tasks
  • Evaluation: accuracy, cost and latency tracking

03. Applied build — Experiment tracker

26 hrs
  • End-to-end build of the experiment tracker
  • Reproducible experiments
  • 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 Research Scientist roles
  • AI-scored mock interviews with feedback

Level outcome: Automate literature review

03

Master

Leadership, strategy and placement

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

01. Capstone — Domain fine-tune

30 hrs
  • Enterprise-scale build of the domain fine-tune
  • 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 researchers 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 Research Scientist, Applied AI Researcher
  • 1:1 career mapping, salary negotiation and offer review
  • Master certificate and lifetime alumni access

Level outcome: AI-assisted writing

Outcomes

What you walk away with

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

3 skills

Learning Outcomes

  • Automate literature review
  • Reproducible experiments
  • AI-assisted writing
2 roles

Career Opportunities

  • Research Scientist
  • Applied AI Researcher
3 projects

Portfolio Projects

  • Paper summarisation agent
  • Experiment tracker
  • Domain fine-tune
Roadmap

Your 6-month AI for Researchers 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 Researchers — month 1 to month 6

6 phases · 1 month each
  1. Month 101

    AI foundations

    Understand AI and set up your researchers toolkit

    • Career assessment and personalised roadmap
    • Prompt engineering fundamentals
    • Set up Python and PyTorch

    Personal prompt library

  2. Month 202

    Applied tools

    Daily researchers workflows run with AI

    • Automate 3 recurring researchers tasks
    • Deep dive into Zotero AI
    • Mini project #1 with mentor review

    Paper summarisation agent

  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 researchers assistant

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

    Experiment tracker

  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

    Domain fine-tune

  6. Month 606

    Interview & launch

    Land Research Scientist

    • 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 Researchers?

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

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Learner reviews

What learners say about AI for Researchers

Verified reviews from learners who completed the AI for Researchers track and moved into roles like Research Scientist.

Excellent

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

Every review collected from enrolled learners after course completion

  • 5-star83%
  • 4-star17%
  • 3-star0%
  • 2-star0%
  • 1-star0%
8 February 2025

Interview prep was brutally useful

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

DG

Devansh Gupta

Research Scientist · Indore

Verified
23 January 2026

Moved into Research Scientist

I was stuck doing the same reporting work for four years. The AI for Researchers track gave me a portfolio, a story and enough PyTorch depth to defend it. Offer letter for the Research Scientist role came in nine weeks after finishing.

AK

Aditi Kulkarni

Applied AI Researcher · Bengaluru

Verified
14 June 2026

Mentor feedback on my Paper summarisation agent

The review call tore my first version apart in the best way — no evals, no error handling, no cost thinking. Version two of the Paper summarisation agent is now the centrepiece of my portfolio.

HJ

Harshit Jain

Academics & R&D · Chennai

Verified
3 May 2026

Strong content, book the doubt slots early

The AI for Researchers curriculum is genuinely current — nothing felt like recycled 2023 material. The 1:1 doubt slots fill up fast though, so plan ahead if you need help with the Experiment tracker.

SB

Swetha Balaji

Research Scientist · Kochi

Verified
12 April 2026

From curious to Applied AI Researcher

I had no formal AI background. The foundation level was patient, the professional level was demanding, and the master capstone is what my current employer asked about for twenty minutes in the final round.

RP

Rohan Pillai

Applied AI Researcher · Kolkata

Verified
6 February 2026

My team now runs on these workflows

I brought the Python and Zotero AI patterns back to work and rolled them out across the team. My manager asked who trained me and enrolled two more people from our department.

LM

Lakshmi Menon

Academics & R&D · Chandigarh

Verified

FAQs

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