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NotebookLM Mastery · Corporate AI Training
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HRDCorp SBL-Khas Claimable20 seats per sessionNo prior AI experience needed

Transform Documents into Actionable Business Intelligence with AI

NotebookLM Mastery: Learn how to use Google NotebookLM to analyse, compare, and extract insights from business documents—then turn them into accurate reports, presentations, dashboards, and other workplace deliverables in a fraction of the time.

Reserve seat
Date25 July 2026
Time9:00 AM – 5:00 PM8 hrs (420 min instruction)
FormatMS Teams (Live Online)
Registration Fee
RM299RM349⏳ Early Bird Price
Standard rate applies
https://notebooklm.google.com/workspace
Migi-te Sandbox
Sources (4)Active
Leave_Policy.pdf24 KB
Q1_Strategy.docx48 KB
Marketing_v2.txt12 KB
https://migi-te.comLive URL
Select documents to ground the AI answers in real-time.
Grounded Mode
Summarise key manager requirements for leave carry-forward.
Based on your selected sources, here is the manager SLA summary for leave carry-forward: • **Rollover Limit**: Employees can carry forward a maximum of **5 unused leave days** . • **Expiration Timeline**: These carried-over days must be utilized strictly within **Q1 of the following year** . • **Unused Forfeiture**: Any remaining carried-forward balance is automatically forfeited on April 1st .
Suggested prompts (Click to ask):
Selected Model: gemini-2.5-pro
01 — PROMPT PRECISION

Same tool. Same source document. Two very different outputs.

The gap between a vague prompt and a precisely instructed one is the entire premise of the day. Participants learn the Role–Format–Goal (RFG) framework in Module 03, then spend the rest of the workshop applying it to real department work.

❌ Vague PromptInput
Summarise the leave policy.
Output
“A generic paragraph restating the policy in general terms — accurate, but unusable in a manager briefing without further editing.”
Result: Wasted time & substantial manual rewriting required.
✅ RFG-Instructed PromptInput
Role:HR business partner preparing a manager briefing.
Format:Five-bullet summary, each with a source citation.
Goal:A manager can answer employee leave questions without escalating to HR.
Output
Annual leave accrues at 1.75 days/month, capped at 21 dayscl. 4.2
Unused leave carries forward up to 5 days into Q1cl. 4.5
Emergency leave requires same-day notification to line managercl. 4.8
Result: Done, formatted, and ready for deployment.

“Every response stays grounded in the source document with a clickable citation — so participants learn to verify AI output, not just trust it.”

02 — Audience

Six department tracks. One shared method.

Different business functions have different documentation types, but they all benefit from structured AI analysis. Choose the department track that matches your role:

01

HR & People

Policy Q&A, then candidate re-ranking against a live-edited job description.

Use Case Track
02

Finance

Variance analysis, then a branded expense dashboard built from statement data.

Use Case Track
03

Operations

SOP gap analysis, escalating to a full stretch deliverable in Round 2.

Use Case Track
04

Marketing

Competitive intelligence, then a positioning brief built from Data Tables.

Use Case Track
05

Product Development

Requirements synthesis across scattered source documents.

Use Case Track
06

Training & L&D

Learner FAQ building from existing course and policy material.

Use Case Track
03 — Learning Outcomes

Walk in with zero experience. Walk out with a finished deliverable.

This is not a general lecture session. By the end of this highly engaging, full-day training, you will be equipped to:

Source & System Navigation

Set up and navigate NotebookLM with full confidence, including source management and the Studio panel.

RFG Framework Application

Apply the Role-Format-Goal framework to generate precise, immediately usable professional output.

Unstructured to Structured

Convert unstructured documents into structured Data Tables using explicit field instructions.

The Data-to-Visual Workflow

Run the Data Table → Sheets → Infographic method to ground polished visuals in clean data.

Multi-Format Studio Generation

Generate every Studio format — Audio Overview, Mind Map, Slide Deck, Deep Research.

Gemini Direct Hand-Off

Hand off structured output to Gemini with constraint-based prompts for custom deliverables.

Two-Tier Lab Exercises

Complete department-relevant use cases at two escalating difficulty tiers.

Capstone Realization

Independently plan and execute one end-to-end deliverable during the capstone.

04 — Agenda & Roadmap

Ten modules. 420 minutes of instruction. One capstone.

Schedule Note: Two 15-minute breaks and a 60-minute lunch are built in — after Module 4, after Module 6, and after Module 7.

01
The AI Landscape
Live side-by-side comparison of ChatGPT, Claude, Gemini and Perplexity — and why NotebookLM's refusal to answer without sources is its most important feature.
Demo + Discussion
02
NotebookLM Fundamentals
First notebook, first source upload, the three-panel interface — culminating in clicking a citation and verifying it against the exact source passage.
Guided Hands-On
03
Prompting for Results
The Role-Format-Goal framework, applied immediately in a live Prompt Upgrade Challenge.
Hands-On Practice
04
Department Lab — Round 1
Each track completes its foundational use case. Direct answers and summaries — the baseline before Module 5 raises the bar.
Hands-On Lab
Break
Take a 15-minute screen rest. Refreshments recommended.
05
Instructing Studio Outputs
The turning point of the day: explicit fields for Data Tables, the Sheets-to-Infographic method, and briefing a Slide Deck with audience, tone and length constraints.
Demo + Hands-On
06
Department Lab — Round 2
Harder, more ambiguous source documents and a deliverable requirement — a polished output, not just a correct one.
Hands-On Lab
Lunch Break
One hour to step away, eat, recharge and relax.
07
Studio Formats & Integration
Audio Overview, Mind Map and Deep Research — then exporting structured output to Gemini with a constraint-based prompt to build what NotebookLM's own Studio can't.
Demo + Extended
Break
Take a quick 15-minute rest before the capstone.
08
Advanced Techniques
Multi-source synthesis with checkboxes, the Critique Loop, and persistent custom instructions for consistent output style.
Guided Practice
09
Capstone: End-to-End Deliverable
Working independently, each participant carries one real use case from raw source documents to a single presentation-ready deliverable, coached one-on-one.
Independent Lab
10
Wrap-Up & Application Plan
Three concrete ways each participant will apply this workflow within five working days, closing with a capstone share-out.
Guided Discussion
Total instructional time (excl. breaks & lunch) — 420 min · 8 hrs total
05 — Deliverables

What's included in your session registration

We believe in providing exhaustive take-away resources so the day's training becomes a permanent upgrade to your department's operating standard.

Full facilitator delivery for the 8-hour session, live online

Pre-prepared source documents across all six department tracks, at two difficulty tiers

The Instructing Studio Outputs playbook — field-design guidance, the Sheets-to-Infographic method, and Slide Deck templates

The Workflow Integration guide for handing off NotebookLM output to external AI tools

The complete RFG Prompt Library — ready-to-use prompts for every use case

Facilitator feedback on each participant's capstone deliverable

Post-session reference card: NotebookLM Quick Guide

Optional add-on: 30-minute group Q&A, two weeks post-delivery

06 — ROI & Impact

“Most AI training stops at 'here's a useful tool.' This one goes a layer deeper — it teaches participants to instruct that tool precisely enough that the output is finished, not draft-quality.”

01

Action-Oriented Capstones

Two escalating rounds of real use cases culminate in one full deliverable — not a hypothetical exercise, but something each participant can present the same day.

02

Targeting the Accuracy Failure Mode

The Instructing Studio Outputs module directly addresses the most common failure mode in AI training: vague instructions producing generic, unusable output.

03

Transferable Prompt Discipline

The Workflow Integration module extends the same precision-instruction discipline beyond NotebookLM, so the skill travels to every AI tool participants use afterward.

Anusuya Krishnan
07 — YOUR FACILITATOR

Meet Anusuya

Lead AI Strategy Consultant & HRDCorp Accredited Trainer

Anusuya Krishnan is the Founder of Migite Sdn Bhd, and a veteran digital transformation consultant with over a decade of experience helping organisations improve productivity through technology. She has trained and coached more than 1,000 business owners, corporate professionals, and educators in applying AI to solve real workplace challenges.

Drawing on her experience, Anusuya specialises in helping professionals move beyond basic chatbot interactions to build practical, reliable AI workflows that deliver measurable business value.

In this hands-on masterclass, she provides step-by-step guidance through every exercise, department lab, and capstone project, ensuring participants gain the confidence and practical skills to transform business documents into accurate, presentation-ready deliverables that can be applied immediately in the workplace.

10+ YearsEnterprise Consulting
1,000+Professionals Trained
QUESTIONS

Frequently Asked Questions

25 July 2026 · 9AM–5PM · Live on MS Teams

Reserve your seat

20 seats per session, kept deliberately small for one-on-one coaching during the labs and the capstone review. HRDCorp SBL-Khas claimable for eligible employers.

Active Offer
Early Bird Rate
RM299RM349

Register before 15 July 2026 to secure the promotional corporate rate.

Discount actively available
Standard Rate
RM349

Standard admission rate for registrations submitted from 15 July 2026 onwards.

Will activate after 15 July

⏳ Early-bird pricing expires in 0 days, 0 hours. Reserve today to lock in your discount.

Questions on scheduling, invoicing, or group bookings — email anusuya@migi-te.com