In-house: | Face to Face:

AI-Powered Workplace Productivity Training

14-15 Dec, 2026, Concorde Hotel Kuala Lumpur

Register Now PDF Brochure

IPA Training is Registered with

Learn from the Best

FAKHRUL SYAHMI

Data Analytics & Data Science Consultant | Certified Trainer | AI & Automation Specialist

Master’s Degree in Data Science

 

Fakhrul Syahmi is an accomplished data analytics and AI specialist with a proven track record in helping organisations harness technology for smarter decision-making and enhanced productivity. Armed with a Master’s Degree in Data Science, he brings deep expertise in data analytics, business intelligence, automation solutions, and AI-powered workplace tools.

 

His technical proficiencies span Microsoft Excel, Power BI, Power Platform (Power Apps, Power Automate), Looker Studio, AppSheet, AI tools (Microsoft Copilot, ChatGPT), and advanced automation workflows. He has also delivered data science solutions in predictive analytics, machine learning, time series forecasting, and text mining.

 

As a certified trainer, Fakhrul is known for his dynamic, hands-on training style that blends real-world scenarios, case studies, and interactive exercises. His sessions consistently equip participants with immediately applicable skills while driving both individual capability and organisational growth.

 

Fakhrul has designed and delivered customised training programmes, data solutions, and analytics projects for a wide range of industries — including banking, manufacturing, oil & gas, and government-linked companies. His holistic approach focuses on knowledge transfer, capability development, and measurable business outcomes.

 

Training & Project Specialties

  • Data Science: Predictive Analytics, Machine Learning, Time Series, Text Mining
  • Advanced Excel & Data Analytics
  • Business Intelligence & Dashboard Development (Power BI, Looker Studio)
  • Automation Solutions (Power Platform, AppSheet)
  • AI-Powered Data Analysis for Decision-Making
  • Workplace Productivity with AI Assistants (Copilot, ChatGPT, Notion AI)

 

Notable Clients

Petronas Chemicals Bhd, AgroBank, Bank Simpanan Nasional (BSN), Al-Rajhi Bank, Shell, Teleperformance Malaysia, Berjaya Group, Menteri Besar Incorporated (MBI), Medivest, and more.

Venue Details

Concorde Hotel Kuala Lumpur
2 Jalan Sultan Ismail, 50250 Kuala Lumpur, Malaysia,

https://kualalumpur.concorde hotelsresorts.com/


Phone : 03 2144 2200

Contact us

FOR COURSE DETAILS

Juliany,

Office: 03 2283 6109

Mobile: +60 122281247

juliany@ipa.com.my

Phoebe,

Office: 03 2283 6100

Mobile: +60 193637822

phoebe@ipa.com.my

Bee Teng,

Office: 03 2282 6112

Mobile: +60 172566121

beeteng@ipa.com.my

FOR CUSTOMISED IN-HOUSE TRAINING

Jane,

Office: 03 2283 6101

Mobile: +60 129418251

jane@ipa.com.my

Keith,

Office: 03 2283 0000

Mobile: +60 162272735

keith@ipa.com.my

ADDRESS

A-28-5, 28th Floor, Menara UOA Bangsar,
No.5, Jalan Bangsar Utama 1,
59000 Kuala Lumpur

FOCUSING ON
  • Module 1: AI Landscape & Foundations
  • Module 2: Prompt Engineering Mastery
  • Module 3: Document Generation & Summarisation
  • Module 4: Email & Customer Communication Management
  • Module 5: Automated Task Tracking & Workflow Streamlining
  • Module 6: Report Generation & Data Storytelling
COURSE OBJECTIVES
This practical, two-day course equips participants with the skills to use Generative AI to improve everyday productivity, strengthen communication and support better business decisions.
AFTER ATTENDING THIS COURSE YOU WILL RETURN TO YOUR JOB…
  1. Ready to reclaim time for higher-value work by reducing effort spent on routine drafting, summarising and administrative tasks.
  2. Confident in getting better results from AI using structured prompts and practical techniques for refining responses.
  3. Equipped to produce polished documents faster, from internal memos and SOPs to proposals and management reports.
  4. Being able to handle emails more efficiently by summarising lengthy threads, identifying action items and preparing appropriate replies.
  5. Better prepared to keep tasks moving with clear meeting follow-ups, organised trackers and consistent project updates.
  6. Being able to communicate data with greater impact by translating figures and charts into concise explanations for managers and stakeholders.
  7. Equipped to research markets and competitors more efficiently, with methods for checking the reliability of AI-generated findings.
  8. Ready to apply reusable prompts, templates and workflows to everyday tasks across your department.
  9. More discerning about AI outputs, knowing what to verify before using or sharing them.
  10. Prepared to develop your own AI productivity toolkit that fits your responsibilities and existing workplace systems.
WHO SHOULD ATTEND

Ideal for professionals in businesses, MNCs, shared services centres and other organisations seeking practical ways to improve productivity with AI. Particularly suitable for:

  • Managers, Team Leaders and Department Heads seeking to improve team efficiency, reporting and coordination.
  • Administrative Professionals, Executive Assistants and Office Managers handling documents, schedules, meeting follow-ups and routine tasks.
  • Human Resources and Learning Professionals preparing policies, employee communications, training materials and internal reports.
  • Sales, Marketing and Business Development Professionals developing proposals, researching competitors and preparing customer communications.
  • Customer Service and Client Support Teams managing enquiries, response templates and consistent service communications.
  • Finance, Accounting and Reporting Professionals preparing management commentary, summarising information and explaining business performance.
  • Operations, Procurement and Project Teams coordinating workflows, tracking actions and producing progress updates.
  • Business Analysts, Strategy Teams and Knowledge Workers turning research and data into actionable recommendations.
METHODOLOGY
  • Instructor-Led Sessions Concept explanations, live demonstrations and guided walkthroughs across all three AI platforms.
  • Hands-On Practise Participants apply each module‘s skills immediately through structured exercises and mini projects.
  • Real-World Scenarios All exercises use realistic MNC workplace contexts — reports, emails, data, and decision scenarios.
DAY 1
9:00

MODULE 1: AI LANDSCAPE & FOUNDATIONS Topics Covered

  • Overview of Generative AI: Copilot, ChatGPT & Google Gemini
  • How LLMs work — practical, non-technical explanation
  • AI capabilities vs. limitations in the workplace
  • Use case mapping for MNC roles & departments
  • Responsible AI, data privacy & governance

Learning Outcomes

  • Distinguishing between major AI platforms and their strengths
  • Identifying high-impact AI use cases within their own role
  • Applying responsible AI principles in daily work
10.45

MODULE 2: PROMPT ENGINEERING MASTERY

Topics Covered

  • Anatomy of an effective prompt
  • Zero-shot, few-shot & role-based prompting techniques
  • Prompt chaining for multi-step tasks
  • Refining & iterating prompts for better outputs
  • Hands-on: Real workplace prompt scenarios

 

Learning Outcomes

  • Writing clear, structured prompts for professional outputs
  • Applying advanced prompting strategies across AI tools
  • Iterating and improving prompts with confidence
1:00 Lunch
2:00

MODULE 3: DOCUMENT GENERATION & SUMMARISATION

Topics Covered

  • • Auto-drafting reports, memos, proposals & SOPs • Summarising lengthy documents and meeting notes • Context search & AI-assisted referencing • Formatting AI outputs for professional delivery • Walkthrough: Copilot in Word, ChatGPT, Gemini Docs

 

Learning Outcomes

  • • Generating professional documents in minutes using AI • Summarising and extract key information from long texts • Using AI for context-aware search and referencing
3:45

MODULE 4: EMAIL & CUSTOMER COMMUNICATION MANAGEMENT

Topics Covered

  • AI-assisted email drafting and tone adjustment
  • Generating response templates for common scenarios
  • Summarising email threads and extracting action items
  • Managing customer communications at scale
  • Comparison: Copilot in Outlook vs. ChatGPT vs. Gemini in Gmail

Learning Outcomes

  • Drafting professional emails faster with AI assistance
  • Maintaining consistent tone across customer communications
  • Reducing email management time with smart templates
5:00 End of Day 1
DAY 2
9:00

MODULE 5: AUTOMATED TASK TRACKING & WORKFLOW STREAMLINING

Topics Covered

  • AI-generated meeting summaries and action items
  • Managing to-dos and project follow-ups with AI
  • Integrating AI into existing tools (Teams, Planner, Notion)
  • Building AI-assisted checklists and trackers
  • Reducing manual coordination overhead

Learning Outcomes

  • Automating meeting follow-up and task assignment using AI
  • Streamlining project tracking with AI- generated summaries
  • Integrating AI tools into existing team workflows
10.45

MODULE 6: REPORT GENERATION & DATA STORYTELLING

Topics Covered

  • Generating structured reports from raw inputs and data
  • AI-assisted chart narration and insights commentary
  • Translating data into executive-ready summaries
  • Combining AI with Excel and Power BI outputs
  • Hands-on: Generate a mini report from a dataset

Learning Outcomes

  • Producing data-driven reports quickly using AI
  • Narrating charts and visuals with AI- generated commentary
  • Communicating insights clearly to non- technical stakeholders
1:00 Lunch
2:00

MODULE 7: MARKET & INDUSTRY INTELLIGENCE

Topics Covered

  • Using AI for competitive landscape research
  • Trend analysis and industry monitoring with AI tools
  • Synthesising market data for strategic decisions
  • AI-generated SWOT analyses and competitor profiles
  • Fact-checking and validating AI-sourced intelligence

Learning Outcomes

  • Conducting faster competitive and market research using AI
  • Generating structured intelligence reports and SWOT analyses
  • Critically evaluating AI-sourced market information
3:45

MODULE 8: GENERAL ANALYTICS & ADMINISTRATIVE AUTOMATION

Topics Covered

  • Automating repetitive data entry and admin tasks
  • AI-assisted data cleaning and basic analysis
  • Building simple AI-powered productivity workflows
  • Integrating AI across Microsoft 365 & Google Workspace
  • Wrap-up: Building your personal AI productivity stack

Learning Outcomes

  • Identifying and automating high-frequency manual tasks
  • Using AI for lightweight data cleaning and analysis
  • Designing a personal AI workflow for sustained productivity
5:00 End of Course