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KRIMKAR

Learn AI.Build with it.Work with it.

From classroom to career in the age of AI.

Krimkar Superintelligence Academy is a practical AI education and workforce platform built to take learners from computing fundamentals to responsible AI, real projects and industry experience.

Explore Bihar AI LaunchpadBook Free Counselling
The Bihar AI Launchpad pathway, drawn to scale across twelve months: Foundations in month 1, Intelligence in months 2 to 3, Application in months 4 to 6 and Industry in months 7 to 12.

  1. 01

    Foundations

    Month 1

  2. 02

    Intelligence

    Months 2–3

  3. 03

    Application

    Months 4–6

  4. 04

    Industry

    Months 7–12

KRIMKAR SUPERINTELLIGENCE ACADEMY
Months
12
Proposed credits
60
Career tracks
2
Months paid internship
6
Monthly internship
₹15,000
Contact hours
108

The thesis

AI is changing the work. Education has to change with it.

Knowing how to use AI is no longer enough.

The next generation of professionals must understand how AI works, how to apply it, how to evaluate it, how to operate it responsibly and how to turn intelligence into useful work.

Krimkar is built around that transition.

From learning AI to working with AI.

  1. Step 1

    Learn

    How computing, data and AI actually work.

  2. Step 2

    Build

    Datasets, agents, dashboards and products.

  3. Step 3

    Operate

    Run AI systems inside real workflows.

  4. Step 4

    Evaluate

    Measure quality, risk and failure.

  5. Step 5

    Work

    Deliver with a host organisation.

Krimkar Bihar AI Launchpad

A 12-month pathway from classroom to career.

A credit-based certification pathway combining foundational computing, AI and LLM fundamentals, specialised learning, practical labs, a capstone project and a six-month paid internship.

Explore the Launchpad

12

Months

6

Months training

6

Months paid internship

60

Proposed credits

108

Contact hours

Awarded

Certificate in AI Application

Programme journey

Twelve months, five stages.

Each training month includes 18 hours of instructor-led class time. The internship begins once the 108 contact hours are complete.

See the full curriculum

  1. 01

    Pre-course

    Fundamentals of Computing

    How computers, operating systems, networks, the internet and data work — alongside digital tools and logical thinking.

    Open to all backgrounds

  2. 02–03

    Foundation

    AI + LLMs

    How AI and LLMs work, prompt engineering, working with data, and responsible AI: ethics, governance, safety and alignment.

    Common to both tracks

  3. 04–06

    Specialisation

    Choose your path

    Developer or Business track modules, with weekly labs and a capstone project.

    Developer or Business

  4. 07–12

    Paid internship

    Real AI projects

    Real AI projects with a host organisation, guided by a Krim mentor.

    ₹15,000 / month

  5. 12

    Certification

    Certificate in AI Application

    Awarded after the final examination and internship review.

    Final exam + review

Choose your track

Two tracks. One responsible AI foundation.

Both tracks share the same foundation in months 2–3, then specialise with weekly labs and a capstone project.

Track 1 · Months 4–6

Developer

Build the intelligence.

Learn to build, operate and evaluate practical AI systems.

Basic Python needed; a free refresher is included.

Modules

  • Python
  • AI Dataset Creation
  • LLM APIs + RAG
  • AI Agents
  • Agent Operations + Policy Review
  • Deployment + Safety Testing

Potential career pathways

  • AI Dataset Creator
  • AI Dataset Builder
  • AI Agent Operator
  • AI Agent Reviewer
  • AI Agent Policy Reviewer
  • AI Developer
  • Generative AI Engineer
  • LLM Engineer
  • AI Agent Engineer
  • AI Evaluation Engineer
  • AI Safety Engineer
Explore Developer Track

Track 2 · Months 4–6

Business

Put intelligence to work.

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

No coding needed.

Modules

  • Business Data Analytics
  • AI Product Management
  • No-Code Automation
  • Marketing + Sales
  • AI Strategy + ROI
  • AI Governance

Potential career pathways

  • Business Data Analyst
  • AI Business Analyst
  • AI Product Manager
  • AI Product Owner
  • AI Solutions Consultant
  • AI Implementation Manager
  • AI Strategy Consultant
  • AI Product Marketing Manager
Explore Business Track

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

Responsible AI

Intelligence without responsibility is incomplete.

Responsible AI is taught as a core subject, not a footnote. Every learner, on either track, studies how to build and use AI that is fair, safe, accountable and aligned with human intent, and applies it in their capstone and internship.

  • AI Ethics
  • AI Governance
  • AI Safety
  • AI Alignment
  • AI Evaluation
  • Responsible Deployment
  • Human Oversight

  1. 01

    Model

    Understand what the system is and what it was trained to do.

  2. 02

    Evaluate

    Measure quality, bias and failure modes before trusting it.

  3. 03

    Validate

    Check it against policy, safety rules and the people it serves.

  4. 04

    Deploy

    Release with guardrails, documentation and a human in the loop.

  5. 05

    Monitor

    Watch real behaviour, review incidents and keep improving.

Learning experience

Not another course.
A working environment.

Classes are where ideas are introduced. Labs, projects and the internship are where they are proven.

  • Learn by building

    Every concept is met with something you make, run or test.

  • Labs

    Weekly labs during specialisation turn modules into working skills.

  • Real projects

    Problems drawn from how AI is actually used inside organisations.

  • Capstone

    A portfolio piece you can show, explain and defend.

  • Mentorship

    Guidance from a Krim mentor and a team of skilled AI instructors.

  • Industry experience

    Six months of paid internship on real AI projects.

Paid internship · Months 7–12

Six months inside real work.

Learning doesn’t end when the classroom does.

Monthly stipend

₹15,000

  • Paid internship, months 7–12
  • Real AI projects with a host organisation
  • Krim mentor guidance
  • Industry exposure
  • Practical delivery experience
  1. Train:

    Months 1–6 build the skills.

  2. Build:

    Contribute to real AI projects.

  3. Ship:

    Deliver work people use.

  4. Learn:

    Review with your Krim mentor.

  5. Grow:

    Leave with experience to show.

Internship placement is subject to programme and host-organisation terms.

How the internship works

Faculty & mentors

Portrait of Shri Vishwanath Jha

Founder / Programme Mentor

Shri Vishwanath Jha

Mentored by Shri Vishwanath Jha and a team of skilled AI instructors.

Mentors the Bihar AI Launchpad with a team of skilled AI instructors, guiding learners from the fundamentals of computing to responsible, practical AI work.

LinkedIn profileMeet the faculty

Example projects

Build things worth showing.

Every learner leaves with portfolio work. These example briefs show the kind of problems learners take on in labs and the capstone.

All project areas

AI Agents

Developer track

A support agent that knows when to hand over

Problem
Routine support questions pile up, but a fully automatic bot creates risk on the hard ones.
Approach
An agent with tool access for lookups, clear policy rules, and an escalation path to a human reviewer.
Outcome
A deployed, reviewed agent with a public demo link and a written policy review.
Technology
PythonLLM APITool callingPolicy checks

RAG Systems

Developer track

Answers grounded in your own documents

Problem
Teams lose time searching scattered manuals, circulars and policies.
Approach
Index the documents, retrieve the relevant passages and generate answers that cite their sources.
Outcome
A searchable assistant with citations and an evaluation set of real questions.
Technology
PythonEmbeddingsVector indexLLM API

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

Voice AI

Developer track

A bilingual voice assistant for first-line queries

Problem
Many callers prefer to speak, and in Hindi as often as English.
Approach
Speech-to-text, an LLM with a narrow, well-tested scope, and speech output, with safe fallbacks.
Outcome
A prototype voice flow tested against a scripted set of real caller questions.
Technology
Speech-to-textLLM APIText-to-speech

AI Evaluation

Developer track

Measuring whether an AI assistant is actually right

Problem
An assistant looks impressive in demos but nobody knows how often it is wrong.
Approach
Build a labelled test set, define pass criteria, and run repeatable evaluations after every change.
Outcome
An evaluation report with accuracy, failure categories and recommended fixes.
Technology
PythonTest datasetsScoring rubrics

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

AI Product Prototypes

Business track

A costed AI product plan for a real business

Problem
A local business wants to use AI but cannot judge which idea is worth funding.
Approach
Map the customer problem, prototype the experience, and model costs and return on investment.
Outcome
A clickable prototype and a costed product plan with a clear go / no-go recommendation.
Technology
Product discoveryNo-code prototypeROI model

Careers

Where AI skills become work.

Explore the roles each track prepares you for, and the modules that lead to them.

Potential pathways · AI data & agent operations

  • AI Dataset Creator
  • AI Dataset Builder
  • AI Agent Operator
  • AI Agent Reviewer
  • AI Agent Policy Reviewer

Builds on

  • AI Dataset Creation & Curation
  • Agent Operations, Review & Policy Compliance

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

Who it’s for

Built for people entering the AI economy.

Fundamentals of Computing is open to learners from all backgrounds.

  • Final-year Engineering students
  • Management students
  • BCA students
  • MCA students
  • Working professionals
  • Learners transitioning into AI

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.

Apply for Bihar AI LaunchpadBook Free Counselling

EMI available

Why Krimkar

Education for the intelligence era.

  1. 01

    Foundations

    Computing, data and how AI really works — before tools and shortcuts.

  2. 02

    Practice

    Labs, a capstone and real projects, so skills are proven rather than claimed.

  3. 03

    Responsibility

    Ethics, governance, safety and alignment taught as core subjects, not footnotes.

  4. 04

    Industry

    A six-month paid internship with a host organisation and a Krim mentor.

About Krimkar

Krimkar is the education and workforce initiative built around practical AI learning, responsible technology and industry readiness.

About the Academy

  1. Superintelligence

    The horizon in its name: ever more capable AI

  2. Krimkar

    The Superintelligence Academy

  3. AI education

    Foundations, tracks, labs and a capstone

  4. AI workforce

    Paid internships and industry readiness

Insights

Notes on learning and working with AI.

Essays on AI careers, engineering, responsible AI and the future of work.

Read Insights

Responsible AI4 min read

Why AI evaluation matters

If you cannot measure how often a system is wrong, you cannot responsibly decide where to use it.

AI Products4 min read

From AI tools to AI workflows

The value of AI inside a business rarely comes from a single tool. It comes from redesigning the work around it.

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

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

Apply to Bihar AI LaunchpadBook Free Counselling

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

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