Trainer profile & workshop guide
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AliveProfileTrainer / Educator04 / 27 · DESIGN COLLECTION
Trainer profile & workshop guide04

Kavya Rao

Practical AI & Data Educator

Less passive learning.
More “I built this.”

Hands-on AI and data workshops for learners who want to understand the workflow, not just watch a demo. Every session connects a concept to a practical exercise and a reviewable output.

03workshop tracks
04learning stages
01artifact per session
THE PROFILE IN CONTEXT

I design learning experiences for mixed-confidence groups, from students trying a new tool to teams changing how they work. Sessions use short explanations, guided practice and time to ask why a result happened. I show where AI outputs need verification and where human judgment stays essential. The curriculum is adapted to the audience and their existing skills rather than copied unchanged between groups.

AI literacyData storytellingGuided labsPrompt designTeam enablement
Audience
Students · Professionals · Teams
Formats
Workshop / cohort / corporate lab
Language
English with Hindi support
Assessment
Exercise + feedback + reflection
Pune · Live online & in-person
AliveProfileTrainer / Educator04 / 27 · DESIGN COLLECTION
CAPABILITY / CONTENT / EVIDENCE

Choose a learning lab

01

AI workflow essentials

Break a task into context, prompting, review and a usable final artifact.

Prompt worksheet + verification checklist
02

Data to a clear story

Turn a small dataset into a question, a useful visual and a defensible explanation.

Analysis notebook + presentation outline
03

Team-specific practice lab

Work through a sanitized version of a real business task with guided feedback.

Tailored exercise + reusable playbook

What learners make

WORKSHOP ARTIFACT

A research brief with visible evidence

ContextParticipants start with a vague question and a small set of source material.

ContributionDemonstrate how to separate facts, assumptions, missing information and questions for review.

A one-page brief with source notes and an explicit uncertainty section.

GUIDED LAB

A dashboard that answers one question

ContextLearners receive a fictional service dataset with missing values and ambiguous labels.

ContributionGuide cleaning, metric definition and chart selection before any visual polish.

A small dashboard plus a written explanation of limitations.

These examples show the intended content structure. They are original fictional studies—not verified clients, completed research, clinical outcomes, endorsements or product performance.

AliveProfileTrainer / Educator04 / 27 · DESIGN COLLECTION
APPROACH / EXPECTATIONS / NEXT STEP

A session learners participate in

01

Understand

A short explanation grounded in a real task.

02

Try

A guided exercise with small checkpoints.

03

Review

Discuss outputs, mistakes and verification.

04

Apply

Choose a next task and a practice routine.

Teaching foundations

Practice

Applied, not tool worship

Teach transferable thinking and verification, not reliance on one interface.

Classroom

Safe to ask basic questions

Use shared language, pause points and alternate exercises for different skill levels.

Materials

Reusable after the session

Provide activity sheets, sample data and a practice roadmap within the agreed scope.

GOOD FIT

Teams and learning groups with a clear audience, use case and time for practice.

IMPORTANT BOUNDARY

Claims of guaranteed jobs, certification equivalence or expertise after one session.

Are tool subscriptions included?

Tool access and paid accounts must be agreed separately before the session.

Can sessions be recorded?

Recording and participant consent should be agreed with the organizer in advance.

How is the workshop customized?

Share audience level, desired tasks, time available and technology constraints.

THE NEXT CONVERSATION

Plan a workshop.

kavya@profile.example · placeholder only

USEFUL CONTEXT TO SHARE
Audience and current skill levelTopic and expected learning outputFormat, group size and preferred dates

This is not a live contact channel. Use verified details in a real profile.