Business track · Months 4–6

Put intelligence to work.

Apply AI to analytics, products, operations, strategy and business transformation — without requiring a coding-first pathway.

No coding needed.

Modules

Six modules, weekly labs, one capstone.

The Business track follows the shared foundation in months 2–3 and carries 20 of the programme’s 60 proposed credits.

  1. 01Business Data Analytics with AI4 credits
  2. 02AI Product Management4 credits
  3. 03No-Code Automation3 credits
  4. 04AI for Marketing & Sales3 credits
  5. 05AI Strategy & ROI3 credits
  6. 06AI Policy & Governance in Business3 credits

Outcomes

What you’ll gain

  • Turn business data into decisions
  • Plan, launch and manage AI products
  • Lead responsible AI adoption in your team

You’ll build

An analytics dashboard and a costed AI product plan for a real business.

Career pathways

Where this track can lead.

Career pathways show the kinds of roles the programme prepares learners for. They are not guaranteed job outcomes.

Data analytics & product

Turn data into decisions and lead AI products.

  • Business Data Analyst
  • AI Business Analyst
  • AI Product Manager
  • AI Product Owner

Strategy, consulting & growth

Plan, implement and grow AI adoption in organisations.

  • AI Solutions Consultant
  • AI Implementation Manager
  • AI Strategy Consultant
  • AI Product Marketing Manager

Before you specialise

Months 1–3 are shared by both tracks.

Fundamentals of Computing in month 1, then ai foundations for all: common to developer and business tracks, before learners specialise.

  • How AI, machine learning and LLMs really work
  • Prompt engineering and AI productivity
  • Working with data using AI
  • AI ethics and responsible use
  • AI governance, policy and data privacy
  • AI safety and alignment fundamentals

Example projects

The kind of work you’ll do.

Data Products

Business track

From spreadsheet sprawl to one decision dashboard

Problem
A business tracks sales and operations across disconnected spreadsheets.
Approach
Clean and join the data with AI assistance, define the few metrics that matter, and build a dashboard.
Outcome
A live analytics dashboard and a one-page decision memo for the owner.
Technology
SpreadsheetsAI-assisted analysisDashboard tools

AI Automation

Business track

An enquiry workflow that runs itself

Problem
Enquiries arrive by form, email and phone and are followed up inconsistently.
Approach
A no-code workflow that captures, classifies and routes enquiries, with AI drafting first replies.
Outcome
A working automation with before-and-after response times documented.
Technology
No-code automationLLM classificationCRM

Responsible AI

Both tracks

A risk review before an AI tool goes live

Problem
An organisation wants to adopt an AI tool but has no process for assessing its risks.
Approach
Apply a risk assessment covering bias, privacy under the DPDP Act, safety and human oversight.
Outcome
A documented risk assessment and a go-live checklist the organisation can reuse.
Technology
Risk frameworksPolicy templatesRed-teaming

Prefer the other path?

Explore the Developer track

Admissions

Five steps to your first class.

Weekday (Mon, Wed, Fri) or weekend (Sat, Sun) batches, 18 hours a month. EMI is available for the paid course.

  1. Step 01

    Register

    Tell us about yourself through the short registration form.

  2. Step 02

    Choose your track

    Developer or Business, and a weekday or weekend batch.

  3. Step 03

    Counselling

    A free one-to-one session to check fit and answer your questions.

  4. Step 04

    Complete admission

    Confirm your place in the paid course. EMI is available.

  5. Step 05

    Begin the programme

    Start with Fundamentals of Computing in month one.

Your AI career doesn’t start with a job. It starts with capability.

Build the foundations. Learn the systems. Work on real problems.

Questions? Call +91 84476 13585 or write to admin@krimkar.com.

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