See how Data, AI and BI Engineering works in Production.

Come inside the SkillAIPath working environment and see the work, decisions, standards and production cycle behind real engineering.

  • Databricks
  • GitHub
  • SQL
  • PySpark
  • MLOps
  • Dashboards
  • AI Agents
  • Google Sheets / Excel
Join the Live Experience See this week's sessions
workspace.skillaipath.com / edufin-analytics
edufin_daily_refresh
Databricks job · Run 418 · scheduled 06:00
Running · 4 of 5 tasks done
ingest_sheets_exportRaw files from Google Sheets / Excel1m 12s
bronze_loan_applicationsAppend only, schema enforced0m 48s
silver_repaymentsPySpark MERGE on repayment_id2m 05s
gold_collection_kpisSQL model behind the dashboard1m 31s
refresh_dashboardPublishes to the BI layerrunning
Bronze Silver Gold Dashboard
Next session
Independent Engineer · Wednesday, 7:00 PM IST
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Session is live now

Four working sessions

One week inside a working engineering environment.

Each session covers one part of the production cycle: how an engineer decides, how a lead owns the team's work, how open questions get reviewed, and how that review turns into the next release.

All times are in India Standard Time (IST).

Independent Engineer

Engineering Decisions · Data + AI Systems Architecture

Wednesday · 7:00–8:30 PM IST
Next up
  • Where your current path stands against the market
  • What the market actually demands
  • How AI assists engineers
  • What you need to own
  • SkillAIPath technical environment
  • Operating standards
AreaKnowing the toolOperating it
DatabricksRun a notebookSchedule, monitor and recover the job
PySparkTransform a dataframeChoose full load or incremental MERGE
SQLWrite a queryOwn the model behind the dashboard
AI AgentsPrompt a modelReview and ship what AI drafted

See what it means to operate independently rather than simply know individual tools.

Lead Engineer

Ownership Beyond Your Own Work

Friday · 7:00–8:30 PM IST
Next up
  • Efficient task allocation
  • Technical training
  • Team profile improvement
  • Client meetings and updates
  • Escalations, blockers and SLAs
  • Applications and product development initiatives
  • Activity, learning and experience documentation
Content log Thursday entry
Did
Moved silver_repayments to incremental MERGE
Decided
Keep full load for small dimension tables
Learned
Watermarks for late-arriving records
Next
Share the pattern with the team on Friday

Content Log: Build the habit of documenting your own work first, then extend it to the team.

Architecture Review

Resolve What You + AI Could Not Resolve

Saturday · 10:00 AM–12:00 PM IST
Next up
  • Architecture questions
  • Development and deployment decisions
  • Production issues
  • Operating standards
  • Common engineering patterns
  • Online support problems
  • Questions raised from the week's work
Example from a review Open

Why does this full-load dbt model not have a Bronze layer?

1The question
2The system
3The reasoning
4What should change

Feature Release + Sprint Plan

Review → Priority → Sprint → Production

Sunday · 10:00 AM–12:00 PM IST
Next up
  • Open architecture items
  • Ideas and unresolved work
  • Urgent priorities
  • Sprint scope
  • Feature development
  • Release planning
  • Next sprint
Release notes v1.4

Shipped this sprint

  • Incremental MERGE for silver_repayments#57
  • Alert when the daily refresh misses its SLA#55

Next sprint

  • Bronze layer for the repayments loadFrom Saturday
  • Weekly KPI summary agentIdea

Questions from review become actual work.

Included

EduFin AnalyticsData Analytics Portfolio

Set up your workspace, learn the workflow and learn to operate it independently.

Days
Wednesday–Friday
Hours
10 AM–6 PM IST
Format
Online onboarding + operations support
  1. 1Set up your workspace
  2. 2Learn the workflow
  3. 3Learn to operate it independently
Self-serve model Online support No live support calls
EduFin Analytics · Collections overview
Education loan portfolio
Refreshed daily from gold_collection_kpis
Sample data
Loans disbursed₹48.6 Cr+6.2% MoM
Active borrowers12,480+410
Collection efficiency93.4%+1.1 pts
30+ days past due3.8%+0.3 pts
Monthly collections vs. amount due ₹ Cr
6420 MayJunJulAugSepOct
Due Collected Source: Databricks SQL

What you will see

The work around the tools, not just the tools.

The disciplines, the platforms they run on, and the weekly rhythm that moves the work into production.

Disciplines

The kinds of engineering work you will watch.

  • Data Engineering
  • AI Engineering
  • BI & Dashboards
  • MLOps

Platforms

Where the work is built, reviewed and shipped.

  • Databricks
  • GitHub
  • Production Cycles

Working rhythm

How questions become decisions, then releases.

  • Architecture Reviews
  • Feature Releases
  • Sprint Planning

SkillAIPath Live Experience

One weekly engineering experience across four working sessions.

Wednesday, Friday, Saturday and Sunday, with EduFin Analytics onboarding included.

Even if you attend just one, you can leave with a clearer idea of where to move next.

Live Experience Checking your region
₹2,999 for one week

₹2,999 India · $149 International

  • Wednesday · Independent EngineerWed 7:00 PM IST
  • Friday · Lead EngineerFri 7:00 PM IST
  • Saturday · Architecture ReviewSat 10:00 AM IST
  • Sunday · Feature Release + Sprint PlanSun 10:00 AM IST
  • EduFin Analytics portfolio onboardingIncluded

Enrollment isn't currently available for your country/region. Please reach us on WhatsApp for help.

Join the Live Experience
Already filled the form? Pay ₹2,999 now

Use the same WhatsApp number as in the form, so your payment is matched to your registration.

Questions first? Message us on WhatsApp

How to use the week

Come with what you already know.

  1. 1

    Watch the work

  2. 2

    Listen to the decisions

  3. 3

    Ask questions

  4. 4

    Gain clarity

  5. 5

    When it clicks, decide your next step

When you are ready to go further, the Independent and Lead Engineer paths continue the same work in the same environment.

Join the Live Experience