Unlock AI Skills to Thrive in Today’s Digital World

Applied AI for New Professionals

About the Program

L1: Corporate Foundations

Applied AI for New Professionals

This workshop will build corporate-grade AI fundamentals and workplace workflows so new professionals can deliver faster, safer, and more consistent business outputs in communication, analysis, reporting, and light automation aligned to company policies and stakeholder needs.

L2: Practitioner

Applied AI for New Professionals

This workshop will build practitioner level skills to design, operate, and measure AI assisted workflows for core corporate functions, with a focus on data handling, structured outputs, light automation, and measurable impact.

L3: Professional

Applied AI for New Professionals

This workshop will develop professional level capability to design, deploy, and govern business grade AI solutions. Participants will architect end to end workflows, use retrieval augmented generation on company knowledge, orchestrate agentic automations, evaluate quality and risk, and deliver a measurable pilot with an executive readout.

The Great people.

Meet Our Experts

Muhammad hazwan bin Azman

Razlinda
Binti Rahmat

Ts. Dr. Azlishah Bin Othman

L1: Corporate Foundations

Applied AI for New Professionals

1. PROGRAM PURPOSE

2. Learning Outcomes

By the end of Day 2, participants will be able to:

Describe core AI concepts, limits, and governance in a corporate context.
Apply prompt frameworks to produce business collateral that fits brand tone and stakeholder expectations.
Use AI with spreadsheets and documents to analyze KPIs and create decision-ready summaries.
Standardize outputs with reusable templates, SOPs, and checklists.
Build simple no-code automations that reduce repetitive work.
Run quick market or competitor scans with citations and assumptions stated.
Work ethically with confidential data, approvals, and audit trails.
Present an end-to-end AI-assisted workflow showing time saved or quality improved.

3. TEACHING AND LEARNING METHODS

Mini-demo followed by guided practice cycles.
Job aids: corporate prompt cards, email and brief templates, SOP checklist, time-saved calculator.
Group gamification: relay race and timed case tasks.
Function-specific datasets (sales, HR, operations) for relevance.

4. FULL AGENDA AND MODULE DESCRIPTIONS

5. ASSESSMENT AND CERTIFICATION

Instrument	Weight	Pass Mark Criteria
Quick quizzes (AM/PM)	20%	≥ 75% correct
Gamified scores	20%	Team score ≥ benchmark
Capstone workflow presentation	60%	Rubric: accuracy, stakeholder fit, compliance, and impact ≥ 75

Certification Threshold: ≥ 75% overall → Applied AI L1 Corporate Foundations Certificate

6. TECHNICAL REQUIREMENTS

Laptop with Chrome or Edge and stable Wi-Fi.
Accounts: Microsoft 365 or Google Workspace, ChatGPT (or equivalent), Canva or Slides.
Optional: Zapier or Make, Notion, SharePoint or Teams for demos.
Sample Excel CSV datasets provided.

7. FACILITATOR(S)

Hazwan Hassan – AI Tools Trainer

Trainer specializing in applied AI for the workplace, delivering hands-on programs that convert policy and tools into consistent business results.

L2: Practitioner

Applied AI for New Professionals

1. PROGRAM PURPOSE

2. Learning Outcomes

By the end of Day 2, participants will be able to:

Map a business process and identify AI leverage points and risks.
Design prompt chains using roles, patterns, and structured outputs such as JSON or tables.
Transform unstructured inputs into clean, structured data for reporting and analysis.
Use AI to classify, extract entities, summarize, and generate action items from real documents.
Build a starter assistant for a corporate use case such as helpdesk or document Q and A using no code tools.
Integrate AI with spreadsheets and cloud apps using connectors to automate repetitive work.
Create SOPs, checklists, and templates that standardize outputs across a team.
Evaluate quality using small test sets, error logging, and red teaming, then iterate safely.
Calculate basic ROI, time saved, and quality metrics to justify adoption.
Present a practitioner level case with artifacts, metrics, and a rollout plan.

3. TEACHING AND LEARNING METHODS

Mini demo followed by guided practice cycles.
Job aids: prompt and schema cards, SOP and checklist templates, ROI calculator.
Group gamification: speed runs and time boxed case tasks.
Function specific datasets for sales, HR, operations, and support.

4. FULL AGENDA AND MODULE DESCRIPTIONS

5. ASSESSMENT AND CERTIFICATION

Instrument	Weight	Pass Mark Criteria
Quick quizzes (AM and PM)	15%	≥ 80% correct
Gamified scores	25%	Team score ≥ benchmark
Capstone workflow presentation	60%	Rubric: accuracy, stakeholder fit, compliance, and impact ≥ 80

Certification Threshold: ≥ 80% overall → Applied AI L2 Practitioner Certificate

6. TECHNICAL REQUIREMENTS

Laptop with Chrome or Edge and stable Wi Fi.
Accounts: Microsoft 365 or Google Workspace, ChatGPT or equivalent, Canva or Slides.
Zapier or Make free accounts for automation labs, Notion or SharePoint or Teams for knowledge base demos.
Sample CSV and DOCX datasets provided, optional API keys if available.

7. FACILITATOR(S)

Hazwan Hassan – AI Tools Trainer

Trainer specializing in applied AI for corporate teams, with focus on practical workflow design, evaluation, and adoption.

L3: Professional

Applied AI for New Professionals

1. PROGRAM PURPOSE

2. Learning Outcomes

By the end of Day 2, participants will be able to:

Translate business OKRs into an AI solution blueprint with scope, risks, and success metrics.
Select appropriate models and tools balancing cost, latency, security, and capabilities.
Design prompt chains and schema based outputs that integrate with spreadsheets and apps.
Implement retrieval augmented generation (RAG) using enterprise documents with a low code vector store or workspace KB.
Build agentic, multi step automations across SaaS tools (e.g., email, CRM, docs, tickets).
Set up an evaluation harness with golden sets, error logging, and human review workflow.
Apply security, privacy, and compliance controls including PII handling and data residency notes.
Instrument monitoring dashboards for usage, quality, and ROI; run small A B tests safely.
Prepare SOPs, rollout, and change management plans for a controlled pilot.
Deliver a working demo and executive summary showing measurable impact and next steps.

3. TEACHING AND LEARNING METHODS

Mini demo followed by guided practice cycles.
Job aids: capability matrix, risk register, SOP and rollout templates, dashboard starter.
Group gamification: retrieval race and timed build tasks.
Function specific corp datasets (sales, HR, ops, policy).

4. FULL AGENDA AND MODULE DESCRIPTIONS

5. ASSESSMENT AND CERTIFICATION

Instrument	Weight	Pass Mark Criteria
Quick quizzes (AM and PM)	10%	≥ 85% correct
Gamified scores	20%	Team score ≥ benchmark
Capstone pilot and executive readout	70%	Rubric: accuracy, governance, stakeholder fit, and impact ≥ 85

Certification Threshold: ≥ 85% overall → Applied AI L3 Professional Certificate

6. TECHNICAL REQUIREMENTS

Laptop with Chrome or Edge and stable Wi Fi.
Accounts: Microsoft 365 or Google Workspace, ChatGPT or equivalent.
Knowledge base or vector store (e.g., Notion, SharePoint, or a low code vector DB).
Zapier or Make accounts for orchestration labs; optional API keys if available.
Power BI or Looker Studio or Google Sheets for monitoring dashboards.
Sample CSV, DOCX, and PDF corpora provided for RAG labs.

7. FACILITATOR(S)

Hazwan Hassan – AI Tools Trainer

Trainer specializing in applied AI for corporate teams, focusing on solution design, governance, and measurable adoption.

Contact & Enquiries

Get In Touch

+6019-9927900

coe@nmuc.edu.my

Email Us.

Time	Module Code & Title	Key Topics / Activities	Why It Matters
Day 1
09:00 – 09:30	M1 – Orientation and Pre-assessment	Goals, baseline quiz, corporate use cases	Maps expectations and measures growth.
09:30 – 10:30	M2 – Corporate AI Fundamentals	Value, risks and limits, governance and policy, hallucination controls	Builds safe, shared foundation for work outputs.
10:45 – 12:30	M3 – Business Prompting Playbook	Role, Task, Context, Constraints, Format, iteration loops, prompt clinic on emails, memos, briefs	Direct impact on daily corporate communication
13:30 – 14:30	M4 – Business Writing with AI	Executive summaries, email sequences, meeting agendas and minutes	Improves clarity and speed for stakeholder communication.
14:30 – 15:00	M5 – Stakeholder and Tone Adaptation	Adapting for manager, client, finance, legal, brand and style guides	Ensures messages land with the right audience.
15:15 – 16:30	M6 – Integrated Lab 1 (Practical)	One-page brief, stakeholder email, meeting pack using AI	Demonstrates an end-to-end communication workflow.
16:30 – 17:00	M7 – Gamified Challenge	Team prompt relay for corporate tasks	Reinforces speed, structure, and accuracy.
Day 2
09:00 – 10:15	M8 – AI + Excel/Docs for KPIs	Cleaning tables, formulating questions, trend and variance summaries, charts	Connects AI to real business metrics and reporting.
10:30 – 11:30	M9 – No-code Productivity Wins	Templates, checklists, email and calendar drafts, simple CRM or ticket updates	Reduces repetitive admin and increases throughput.
11:30 – 12:30	M10 – Risk, Compliance and IP	Confidential data handling, citations, approval flows, record keeping	Prevents misuse and supports audit readiness.
13:30 – 15:00	M11 – Capstone Lab (Practical)	Scenario: operations efficiency or market scan. Deliverables: 2-page brief, KPI table, SOP steps, 5-slide deck	Shows end-to-end value creation with measurable impact.
15:15 – 16:30	M12 – Presentations and Q&A	Teams present to a mock management panel with rubric feedback	Builds stakeholder communication confidence.
16:30 – 17:00	M13 – Post-assessment and 30/60/90 Plan	Quiz, time-saved calculator, personal adoption roadmap	Secures commitment to apply skills at work.

Time

Module Code & Title

Key Topics / Activities

Why It Matters

Day 1

09:00 – 09:30

M1 – Orientation and Pre-assessment

Goals, baseline quiz, corporate use cases

Maps expectations and measures growth.

09:30 – 10:30

M2 – Corporate AI Fundamentals

Value, risks and limits, governance and policy, hallucination controls

Builds safe, shared foundation for work outputs.

10:45 – 12:30

M3 – Business Prompting Playbook

Role, Task, Context, Constraints, Format, iteration loops, prompt clinic on emails, memos, briefs

Direct impact on daily corporate communication

13:30 – 14:30

M4 – Business Writing with AI

Executive summaries, email sequences, meeting agendas and minutes

Improves clarity and speed for stakeholder communication.

14:30 – 15:00

M5 – Stakeholder and Tone Adaptation

Adapting for manager, client, finance, legal, brand and style guides

Ensures messages land with the right audience.

15:15 – 16:30

M6 – Integrated Lab 1 (Practical)

One-page brief, stakeholder email, meeting pack using AI

Demonstrates an end-to-end communication workflow.

16:30 – 17:00

M7 – Gamified Challenge

Team prompt relay for corporate tasks

Reinforces speed, structure, and accuracy.

Day 2

09:00 – 10:15

M8 – AI + Excel/Docs for KPIs

Cleaning tables, formulating questions, trend and variance summaries, charts

Connects AI to real business metrics and reporting.

10:30 – 11:30

M9 – No-code Productivity Wins

Templates, checklists, email and calendar drafts, simple CRM or ticket updates

Reduces repetitive admin and increases throughput.

11:30 – 12:30

M10 – Risk, Compliance and IP

Confidential data handling, citations, approval flows, record keeping

Prevents misuse and supports audit readiness.

13:30 – 15:00

M11 – Capstone Lab (Practical)

Scenario: operations efficiency or market scan. Deliverables: 2-page brief, KPI table, SOP steps, 5-slide deck

Shows end-to-end value creation with measurable impact.

15:15 – 16:30

M12 – Presentations and Q&A

Teams present to a mock management panel with rubric feedback

Builds stakeholder communication confidence.

16:30 – 17:00

M13 – Post-assessment and 30/60/90 Plan

Quiz, time-saved calculator, personal adoption roadmap

Secures commitment to apply skills at work.

Time	Module Code & Title	Key Topics / Activities	Why It Matters
Day 1
09:00 – 09:30	M1 – Orientation and Baseline	Goals, baseline quiz, review of L1 skills, practitioner expectations	Aligns on outcomes and measures growth.
09:30 – 10:45	M2 – Process Discovery and Opportunity Mapping	Value stream view, pain point scan, quick win matrix, risk notes	Targets the right problems before building.
11:00 – 12:30	M3 – Advanced Prompting Patterns	Few shot examples, style sheets, schema prompts, JSON and table outputs, evaluation loop	Enables reliable, reusable outputs for business systems.
13:30 – 14:45	M4 – Data Wrangling with AI	Cleaning text, normalization, classification, sentiment, entity extraction into tables	Turns messy inputs into decision ready data.
15:00 – 16:15	M5 – Integrated Lab 1	From messy inbox to KPI table, write a short analysis and email update	Demonstrates an end to end workflow tied to KPIs.
16:15 – 17:00	M6 – Gamified Challenge	JSON to table speed run, accuracy bonus	Builds precision and speed with structured outputs.
Day 2
09:00 – 10:30	M7 – Building No Code Assistants	Use a workspace or knowledge base to create document Q and A or helpdesk assistant, retrieval tips	Shows how to package knowledge for daily use.
10:45 – 11:45	M8 – Automation Basics with Connectors	Email triage, meeting notes to tasks, CRM or sheet updates using Zapier or Make	Reduces repetitive admin and improves throughput.
11:45 – 12:30	M9 – Measuring Quality and Risk Controls	Test sets, guardrails, privacy and access, red team scripts, logging	Keeps pilots safe and auditable.
13:30 – 15:15	M10 – Capstone Lab	Choose a scenario: sales lead qualifier, HR application triage, vendor due diligence. Create workflow diagram, SOP, sample outputs, ROI estimate	Shows end to end value creation with measurable impact.
15:15 – 16:30	M11 – Presentations and Feedback	Team presentations to a mock management panel with rubric scoring	Builds stakeholder communication confidence.
16:30 – 17:00	M12 – Post Assessment and 30 60 90 Plan	Quiz, risk checklist, personal rollout plan	Secures adoption and next steps.

Time	Module Code & Title	Key Topics / Activities	Why It Matters
Day 1
09:00 – 09:30	M1 – Orientation and Baseline	Goals, baseline quiz, review of L2 skills, project teams	Aligns on outcomes and forms delivery teams
09:30 – 10:30	M2 – Strategy and OKR Framing	Map OKRs to AI opportunities, risk register starter, success metrics	Ensures solutions target outcomes that matter.
10:45 – 12:15	M3 – Model and Tool Selection	Capability matrix, cost and latency trade offs, security considerations	Choose fit for purpose tools before building.
13:30 – 14:45	M4 – RAG Fundamentals (Professional)	Document prep, chunking, embeddings, retrieval tips, grounding responses	Enables accurate answers from company knowledge.
15:00 – 16:15	M5 – Integrated Lab 1: Build a Knowledge Assistant	Create a low code RAG assistant on provided documents with citations	Shows practical knowledge enablement for teams.
16:15 – 17:00	M6 – Gamified Challenge: Retrieval Race	Teams compete on answer accuracy and citation quality	Builds discipline around grounded responses.
Day 2
09:00 – 10:15	M7 – Agentic Workflows and Orchestration	Design multi step flows, task handoffs, guardrails, failure recovery	Moves from single prompts to durable workflows.
10:30 – 11:30	M8 – Automation with Connectors	Trigger based workflows across email, docs, CRM, tickets using Zapier or Make	Reduces repetitive admin and speeds operations.
11:30 – 12:15	M9 – Evaluation, Monitoring and A B Testing	Golden sets, sampling, dashboards, drift checks, experiment basics	Keeps pilots reliable and defensible.
13:30 – 14:15	M10 – Security, Privacy and Governance	PII handling, data residency, approval flows, audit trail, exception handling	Prevents misuse and supports compliance readiness.
14:15 – 15:30	M11 – Capstone Lab: Professional Pilot	Choose scenario (policy Q and A, sales enablement, ops playbook). Build demo, metrics, and rollout plan	Demonstrates end to end value creation with controls.
15:45 – 16:30	M12 – Executive Readout Preparation	Write 1 page exec summary, ROI estimate, risk and mitigation table	Prepares stakeholders for go no go decisions.
16:30 – 17:00	M13 – Presentations, Post Assessment and Next Steps	Team presentations, quiz, adoption plan	Locks in learning and defines ownership.

Time

Module Code & Title

Key Topics / Activities

Why It Matters

Day 1

09:00 – 09:30

M1 – Orientation and Baseline

Goals, baseline quiz, review of L2 skills, project teams

Aligns on outcomes and forms delivery teams

09:30 – 10:30

M2 – Strategy and OKR Framing

Map OKRs to AI opportunities, risk register starter, success metrics

Ensures solutions target outcomes that matter.

10:45 – 12:15

M3 – Model and Tool Selection

Capability matrix, cost and latency trade offs, security considerations

Choose fit for purpose tools before building.

13:30 – 14:45

M4 – RAG Fundamentals (Professional)

Document prep, chunking, embeddings, retrieval tips, grounding responses

Enables accurate answers from company knowledge.

15:00 – 16:15

M5 – Integrated Lab 1: Build a Knowledge Assistant

Create a low code RAG assistant on provided documents with citations

Shows practical knowledge enablement for teams.

16:15 – 17:00

M6 – Gamified Challenge: Retrieval Race

Teams compete on answer accuracy and citation quality

Builds discipline around grounded responses.

Day 2

09:00 – 10:15

M7 – Agentic Workflows and Orchestration

Design multi step flows, task handoffs, guardrails, failure recovery

Moves from single prompts to durable workflows.

10:30 – 11:30

M8 – Automation with Connectors

Trigger based workflows across email, docs, CRM, tickets using Zapier or Make

Reduces repetitive admin and speeds operations.

11:30 – 12:15

M9 – Evaluation, Monitoring and A B Testing

Golden sets, sampling, dashboards, drift checks, experiment basics

Keeps pilots reliable and defensible.

13:30 – 14:15

M10 – Security, Privacy and Governance

PII handling, data residency, approval flows, audit trail, exception handling

Prevents misuse and supports compliance readiness.

14:15 – 15:30

M11 – Capstone Lab: Professional Pilot

Choose scenario (policy Q and A, sales enablement, ops playbook). Build demo, metrics, and rollout plan

Demonstrates end to end value creation with controls.

15:45 – 16:30

M12 – Executive Readout Preparation

Write 1 page exec summary, ROI estimate, risk and mitigation table

Prepares stakeholders for go no go decisions.

16:30 – 17:00

M13 – Presentations, Post Assessment and Next Steps

Team presentations, quiz, adoption plan

Locks in learning and defines ownership.

Unlock AI Skills to Thrive in Today’s Digital World

Applied AI for New Professionals

About the Program

L1: Corporate Foundations

Applied AI for New Professionals

L2: Practitioner

Applied AI for New Professionals

L3: Professional

Applied AI for New Professionals

Meet Our Experts

Muhammad hazwan bin Azman

Razlinda Binti Rahmat

Ts. Dr. Azlishah Bin Othman

L1: Corporate Foundations

Applied AI for New Professionals

1. PROGRAM PURPOSE

2. Learning Outcomes

3. TEACHING AND LEARNING METHODS

4. FULL AGENDA AND MODULE DESCRIPTIONS

5. ASSESSMENT AND CERTIFICATION

6. TECHNICAL REQUIREMENTS

7. FACILITATOR(S)

L2: Practitioner

Applied AI for New Professionals

1. PROGRAM PURPOSE

2. Learning Outcomes

3. TEACHING AND LEARNING METHODS

4. FULL AGENDA AND MODULE DESCRIPTIONS

5. ASSESSMENT AND CERTIFICATION

6. TECHNICAL REQUIREMENTS

7. FACILITATOR(S)

L3: Professional

Applied AI for New Professionals

1. PROGRAM PURPOSE

2. Learning Outcomes

3. TEACHING AND LEARNING METHODS

4. FULL AGENDA AND MODULE DESCRIPTIONS

5. ASSESSMENT AND CERTIFICATION

6. TECHNICAL REQUIREMENTS

7. FACILITATOR(S)

Contact & Enquiries

Get In Touch

+6019-9927900

+6019-9927900

coe@nmuc.edu.my

Email Us.

Meet Our Experts

MUHAMMAD HAZWAN BIN AZMAN

Meet Our Experts

RAZLINDA BINTI RAHMAT

Meet Our Experts

Ts. Dr. Azlishah Bin Othman

L1: Corporate Foundations

FULL AGENDA AND MODULE DESCRIPTIONS

L2: Practitioner

FULL AGENDA AND MODULE DESCRIPTIONS

L3: Professional

FULL AGENDA AND MODULE DESCRIPTIONS

Razlinda
Binti Rahmat