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B4· Business, management and commerce

AI for HR & People Ops

You will hire, onboard and support people with AI as your assistant, and you will know how to check that the AI is fair, lawful and never the one making the decision about a person.

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Who it is for
BBA and MBA-HR students, and anyone heading into HR, talent acquisition or people operations at a growing Indian business.
AI core
9 units · 20 h
This course
6 modules · 12 lessons · 4.3 h
Live projects
2, on Professional and Career
01Roles it prepares you for
  • HR executive
  • Talent acquisition associate
  • HR operations associate
  • People analytics associate

The skills these roles ask for. Preparation, not a promise of a job.

02Tools you will use
  • Claude (free plan)Free tier
  • ChatGPT (free plan)Free tier
  • Gemini (free plan)Free tier
  • NotebookLMFree tier
  • Google FormsFree tier
  • Google SheetsFree tier
  • Looker StudioFree tier
  • n8n (Saarthi-hosted sandbox)Saarthi sandbox
  • Saarthi anonymised seller data packSaarthi sandbox

You never pay for a tool subscription. “Verified” means we checked the free access on the vendor’s own site this month. Tool names describe what you learn; no vendor endorses Launchpad.

03Syllabus

What you will learn, in order.

Lesson films are narrated with an AI voice, over visuals made with AI tools and checked by our team. Saarthi, the coach, is an AI. Mentors and reviewers are people.

Part 1 · The AI core, shared by every stream

00Set up your coach1 hLearn how the core works, write the learning-context document that tells every AI tool who you are, and set Saarthi up as a coach that makes you think instead of thinking for you.
  1. How this core works6 min
  2. Write your learning-context document8 min
  3. Seven roles for AI, and study modes7 min
01How LLMs work and fail2.5 hBuild a working mental model of a large language model: tokens, prediction, context windows and memory. Then learn its predictable failures (hallucination, sycophancy, stale knowledge, bad arithmetic) and reproduce them yourself.
  1. Tokens and next-word prediction7 min
  2. Context windows and memory7 min
  3. Hallucination, sycophancy and other failures8 min
  4. Lab: one prompt, three models, five failures8 min
02Description and context engineering3.5 hWrite briefs that get the right output the first time: role, task, context, examples and format. Then make them reusable with Claude and ChatGPT Projects, Gemini Gems, custom GPTs and NotebookLM, and learn to work with PDFs, spreadsheets and images.
  1. The brief: role, task, context, format8 min
  2. Examples and output formats7 min
  3. Projects in Claude and ChatGPT8 min
  4. Gems, custom GPTs and NotebookLM8 min
  5. Working with files: PDFs, spreadsheets, images8 min
03Verify everything2.5 hCheck AI output the way fact-checkers do: lateral reading, tracing citations and numbers to the original, using deep-research modes without trusting them blindly, and testing a prompt properly with a 10-case golden set.
  1. Lateral reading7 min
  2. Checking citations and numbers8 min
  3. Deep-research modes: use and limits7 min
  4. Your first eval: a 10-case golden set8 min
04Connectors and MCP2 hConnect AI to the places your work lives (Drive, Gmail, Sheets, business data) without writing code. Learn what an MCP server is, why a reviewed directory differs from unreviewed community servers, how to grant the least access that works, and how to keep browser extensions on a short leash.
  1. What connectors and MCP are8 min
  2. Trust, least privilege and the reviewed directory8 min
  3. Browser extensions and AI browsers7 min
  4. Lab: ask the seller-data MCP server, check every answer8 min
05Agents and automations3.5 hHand multi-step work to AI safely. Tell an agent from an automation, decide what to delegate, use browser and coding agents with care, and build an n8n workflow that uses AI with a human-approval step before anything leaves the system.
  1. Agents vs automations: what to delegate8 min
  2. Browser agents, safely7 min
  3. Automation basics with n8n and Zapier8 min
  4. Lab: build an automation with a human-approval step8 min
  5. Failure modes and your failure-mode note7 min
06AI for learning and careers1.5 hUse AI to learn faster without outsourcing the learning, write applications that still sound like you, and practise interviews out loud with Saarthi.
  1. Learning with AI, not instead of learning7 min
  2. Applications in your own voice7 min
  3. Mock interview with Saarthi8 min
07Diligence: law, ethics, integrity2.5 hThe rules that apply when you use AI in India: the DPDP Act 2023 and its 2025 Rules, academic integrity and disclosure, copyright (including where Indian law is still unsettled), and bias. You finish by writing your own AI-use policy.
  1. DPDP Act 2023: personal data and AI8 min
  2. Academic integrity and disclosure7 min
  3. Copyright and AI in India8 min
  4. Bias and fairness7 min
  5. Write your personal AI-use policy7 min
08Core capstone1 hPut all four Ds together on one anonymised marketplace settlement file: ask good questions, automate one step, verify every number against Saarthi's P&L engine, and defend your work live in five minutes.
  1. The capstone brief6 min
  2. Lab: ask, automate, verify8 min
  3. Prepare your 5-minute defence7 min

Part 2 · AI for HR & People Ops

01HR in an AI-native small business2 lessonsWhere AI helps across the employee lifecycle, where it must never decide, and the Indian laws that shape HR work today.
  1. Where AI helps, where it must not decide12 min
  2. Set up an HR assistant with refusals that work25 min
02Job design and job descriptions2 lessonsSkills-based job descriptions for warehouse and office roles, inclusive language, and posts candidates can read in their own language.
  1. Job descriptions that attract the right people10 min
  2. Write and lint two job descriptions25 min
03Screening rubrics and bias audits2 lessonsStructured, anchored rubrics; how AI-assisted screening goes wrong; and how to audit a rubric for bias with counterfactual tests and selection-rate comparisons.
  1. Fair screening is designed, not hoped for14 min
  2. Audit an AI screening rubric35 min
04Onboarding and SOP assistants2 lessonsBuilding an assistant that answers new joiners' questions from the company's own policies and SOPs, in their language, and refuses or escalates what it should not answer.
  1. Grounded assistants with guardrails12 min
  2. Build an onboarding assistant over seller SOPs35 min
05People analytics: the hiring funnel2 lessonsThe metrics that show whether hiring works, building a funnel dashboard for warehouse hiring, and reading it without over-reading it.
  1. Funnel metrics that matter10 min
  2. Build a warehouse hiring-funnel dashboard35 min
06HR automation and employee data protection2 lessonsAutomating routine HR workflows with n8n and a human approval step, and handling candidate and employee data the way the DPDP Act expects.
  1. Personal data in HR, under the DPDP Act12 min
  2. An n8n onboarding workflow with a data-flow map35 min
04Live projects

Two briefs. Real-shaped work.

  1. Project 1

    SOP and onboarding assistant built on seller policies, with refusal guardrails

    The fictional warehouse packs for three online sellers with different SOPs, and new pickers keep making the same mistakes. Build an onboarding assistant that answers joiners' questions from the warehouse handbook and the sellers' anonymised SOPs, in their language, with citations, and that refuses or escalates anything about a specific person, harassment, safety emergencies, pay disputes, medical or legal matters. Prove it with a test set, and demo it live to Saarthi playing the operations head.

    You hand in

    • Assistant instructions, version-dated source list and 'Who to ask' list
    • A test set of at least 40 questions across answerable, not covered, refuse/escalate and tricky (including at least 10 non-English or Hinglish)
    • Scored results for the first and final runs, with zero unsafe answers in the final run
    • A one-page guardrail rationale: what it refuses, why, and where it routes
    • A maintenance plan: owner, review cadence, retest triggers
    • A 5-minute live demo with the operations head persona

    Data: Saarthi data pack, HR extracts: a fictional warehouse's handbook, POSH and grievance procedure with placeholder contacts, safety procedures, and anonymised packing SOPs from three fictional seller clients. No real employee or seller data.. Reviewed by Saarthi against a published rubric, signed off by a mentor.

  2. Project 2

    Warehouse-staff hiring funnel dashboard and a bias audit of an AI screening rubric

    The fictional warehouse is hiring for the festive season and wants to use AI to screen catalogue-executive applications. Build a hiring-funnel dashboard from the synthetic applicant data, then audit the AI screening rubric the operations head drafted: test consistency, run counterfactual name and college swaps, compare selection rates across audit groups, fix the rubric and re-audit. Present a recommendation on whether, and how, AI should be used in screening, with a person making every decision.

    You hand in

    • One-page hiring-funnel dashboard with source quality, median time to hire, retention and an aggregated fairness view
    • Audit workbook: baseline scores, consistency test, counterfactual differences, selection-rate ratios
    • The fixed anchored rubric and evidence-quoting prompt
    • Re-audit results and a before/after findings table with limitations
    • A two-page recommendation memo for the operations head
    • A 5-minute live defence

    Data: Saarthi data pack, HR extracts: a synthetic applicant-tracking export for a festive hiring drive and 40 synthetic catalogue-executive applications with controlled variants. Every applicant is invented; audit-group labels exist only for testing.. Reviewed by Saarthi against a published rubric, signed off by a mentor.

05Practise out loud

In voice mock interviews and client calls, Saarthi plays: Suresh Patil (fictional), operations head of a 60-person e-commerce warehouse near Bhiwandi that packs for several online sellers. He needs twelve pickers and two catalogue executives before the festive season, has no HR team, and has heard AI can screen CVs. He asks you how to hire fast without hiring wrong, and what could get him into legal trouble.

On plans that include mock interviews. You get written feedback after every call.

06Enrol

Pick a plan for AI for HR & People Ops.

One payment. The access deadline for each plan is shown before you pay.

  • Foundation

    01

    Learn the AI your field now runs on.

    ₹2,999

    One payment. GST included.

    • Access for 120 days (about 4 months) from the day you pay
    • No 1:1 mentor sessions
    • The common AI core and your domain course
    • Saarthi, your AI coach, any hour
    • Hands-on labs on free tools
    • Verifiable certificate
    Enrol on Foundation

  • Professional

    02

    Prove it on real work.

    ₹7,999

    One payment. GST included.

    • Access for 180 days (about 6 months) from the day you pay
    • One 1:1 session with a mentor
    • Everything in Foundation
    • Two live projects, reviewed by Saarthi and a mentor
    • Public portfolio page of verified work
    • Voice mock interviews
    • One 1:1 coaching session
    Enrol on Professional

  • Career

    03

    Work alongside our team.

    ₹14,999

    One payment. GST included.

    • Access for 240 days (about 8 months) from the day you pay
    • Four 1:1 sessions with a mentor
    • One 1:1 call with an industry expert
    • Everything in Professional
    • Four-week supervised practicum with the Saarthi team
    • Four 1:1 coaching sessions with your mentor
    • An exclusive 1:1 call with an industry expert in your field
    • CV and LinkedIn review
    • Priority mentor replies
    Enrol on Career

Your access period starts the day you pay and is shown before you pay. One exam pause per enrolment, for up to 15 days. When access ends the course locks, and your portfolio page and certificate stay live. Full refund within 7 days, pro-rata after that, and an automatic refund for any practicum, 1:1 mentor or expert session we do not deliver. Refund policy