AI for
Data Management
A practical 8-week roadmap for working professionals — from data fluency to AI-powered automation, on the tools you'll actually use at work.
The essentials, up front.
- Audience
- Working Professionals
- Location
- Karachi (Physical)
- Duration
- 8 Weeks
- Format
- Instructor-Led + Labs
- Certificate
- Automation Specialist
Eight weeks. Eight things you'll ship.
AI & Data Foundations
- AI vs ML vs GenAI — what each actually means
- Structured, unstructured & semi-structured data
- The data lifecycle: capture → store → prepare → use
- Warehouses, lakes, ETL, APIs — vocabulary that matters
- Where AI already lives in your daily tools
Explain to a colleague, in plain words, how AI can raise data quality in your department.
Data Management Essentials
- Governance, stewardship & data ownership roles
- Quality dimensions: accuracy, completeness, consistency, timeliness
- Master data & catalogs — one version of the truth
- Privacy & compliance: GDPR, PECA (Pakistan), company policy
- Cloud platforms at awareness level: Azure, AWS, GCP
Draft a one-page data-governance checklist for your team.
AI Applied to Data
- AI-assisted cleaning, deduplication & preparation
- Predictive analytics: forecasting, churn, risk scoring
- NLP on unstructured data — emails, contracts, feedback
- AI inside BI: Copilot in Power BI, Tableau Pulse
- Automated cataloging & anomaly detection
Shortlist 3 AI use cases in your function, each with a rough ROI estimate.
The Hands-On Toolkit
- Excel's AI layer: Analyze Data, Flash Fill, Copilot
- SQL you'll actually use: SELECT, JOIN, GROUP BY
- Power BI: a dashboard that answers a real question
- Prompt engineering for data analysis (ChatGPT / Copilot)
One working dashboard answering a real business question.
Automation Lab
- Process mapping: find the task worth automating
- No-code patterns: form → sheet → alert → report
- AI assistants for drafts, summaries & follow-ups
- Triggers, actions & human-in-the-loop checks
Automate one recurring task in your own workflow, end to end.
Strategy, Ethics & Governance
- Responsible AI: bias, fairness, transparency, explainability
- Data security & evaluating AI vendors and tools
- Building a data-driven culture, managing change
- The business case: costs, benefits, risks
A one-page AI adoption proposal for your organization.
Capstone & Certification
- End-to-end: problem → data → AI-assisted analysis → dashboard → recommendation
- Present & defend it in the lab, instructor-led review
- Earn the Automation Specialist certificate
- Publish the project on LinkedIn — a portfolio that sells
Microsoft AI-900 / DP-900 fundamentals, if you want formal credentials beyond the program.
Choose your track.
- 4 hrs / week — in-house, on-site training
- Trained on quality free resources
- Buy paid tools your way, later — optional
- 8-week total · PKR 100,000 (2 payments)
- 6 hrs / week — in-house, on-site training
- Latest paid tools included — ChatGPT, Grok, Claude
- Practice on the exact stack you'll use at work
- 8-week total · PKR 150,000 (2 payments)
≈ Same effective hourly rate on both tracks — Pro simply adds 2 hrs/week plus the full paid tool stack.
What you walk away with.
A working BI dashboard built on real data
Three AI use-cases with ROI estimates
One workflow automated end-to-end
A data-governance checklist for your team
A one-page AI adoption proposal
Automation Specialist certificate + LinkedIn portfolio
Ready when you are.
- 01Choose Essential (PKR 50,000) or Pro (PKR 75,000) — monthly
- 02Reserve your seat — Karachi · on-site · next 8-week cohort
- 03Commit 4 or 6 hrs/week — instructor-led, in-house
- 04Bring one real workflow from work — automate it by Week 8