A learning initiative of MindForgeAIMeet the programme faculty ↗
JigyasaBY MINDFORGEAIFor your college ↗

ENGINEERING IN THE AI ERA

Your next idea.
Your first evidence.

Four practical workshop days for four stages of your engineering degree. Ask a better question. Build something you can explain.

CSE · IT · AI & DS   /   One day per cohort   /   CPU-ready practicals

Concept illustration of four rising stages of engineering learning

GUEST LECTURE / INTERACTIVE WORKSPACE

Machine Learning in the Age of AI

From an equation to a trained model: explore BabyX, visual lecture slides, working ML demonstrations, research-paper attention, notebooks and project examples.

Open the lecture workspace ↗

WORKSHOP 01 / THIRD-YEAR MACHINE LEARNING

Machine Learning: From Data to Decisions

A complete campus-energy case study: prepare data, build regression and classification models, evaluate predictions and explain the evidence. One proposed eight-hour day, starting with basic Python.

Explore the workshop & timetable ↗
THE WORK YOU TAKE HOME

A result is a beginning.
An explanation makes it useful.

You will investigate data, make a prediction and test what happened. Every workshop ends with an artifact, a failure you understand and a next step you can take.

Work in pairs. Rotate the keyboard. Challenge the result. Your individual explanation matters as much as the code.

FOUR YEARS. FOUR STARTING POINTS.

Choose your year.

Each is a separate 09:00–17:00 workshop.
405 learning minutes. 75 minutes of breaks.

A SMALL EXPERIMENT

See the decision change.

Explore a teaching demonstration here.
The full experiment is in your notebook.

YOUR EIGHT-HOUR DAY

Time to think.
Time to try.

The breaks are part of the plan. Each practical has checkpoints and a recovery route.

    Illustration of a fictional student workshop, not a photograph of a delivered event

    LEARN WITH OTHER ENGINEERS

    The keyboard changes hands.
    The reasoning stays yours.

    Our proposed classroom model pairs up to 60 students with a lead facilitator and two lab mentors. Short demonstrations leave room for questions, mistakes and a second attempt.

    Original illustrative scene. No institutional endorsement implied.

    YOUR WORKSHOP DESK

    Open the pack.
    Keep building.

    Original synthetic data. No paid AI API.
    Colab upload or local Python and Jupyter.

    Your preparation checklist

    Saved only in this browser. This is a personal checklist, not enrolment, assessment or certification.

    ONE IDEA IN A MINUTE

    A short visual explanation.

    Captioned silent explainers for classroom discussion. Pause, predict and replay.

    AFTER THE WORKSHOP

    One day opens a question.
    The next week builds an answer.

    A voluntary internship readiness application can use your workshop evidence. Future batch dates, seats, fees and selection rules will be announced separately. Completion does not guarantee admission or placement.

    Explore the internship platform ↗

    PROGRAMME FACULTY

    Akash Chatake

    Practitioner, researcher and educator. Explore the work behind the programme and discuss a workshop for your institution.