Training & Certification Division
Person in charge: Andy Febrico Bintoro, Daniel Adhinugraha W.
Work Program
Training Needs Assessment
A short survey of members on the training topics most needed. Output: top 5 themes + participant personas.
AI Literacy Workshop for Educators
A one-day online workshop (4 hours) for 50–100 participants; content: prompt engineering and AI tools in the classroom.
Digital Pedagogy Module
One self-paced module (5–6 short videos + PDF handout) on a free Google Classroom/LMS, accessible to members at any time.
Training: INOPI's First Concrete Step
INOPI's training curriculum and materials blueprint for improving work productivity and employability — 10 programs across 3 launch time horizons, mapped onto a Proficiency Level × Job Grade matrix, covering 10 hard skills and 12 soft skills, with 12 industries as case study sources.
Mass AI Adoption, Lagging Workforce Readiness
Companies and educational institutions are adopting AI quickly, but workforce competency has not caught up. The need for structured training is very large and has not been served systematically. The association needs to step in to fill this gap as a provider of standards and competency development.
The Association's Launch Needs a Flagship Program
The launch momentum is effective only when accompanied by a real program, not just a declaration. Training is the fastest program to execute and the one whose benefits members feel immediately. It marks INOPI's identity and credibility from day one.
Conclusion: Training is the first concrete step — immediate impact, fast to execute, and INOPI's flagship program at launch.
Which Program Is Right for Me?
A program placement matrix based on Proficiency Level × Job Grade.
| Proficiency ↓ / Job Grade → | Staff | Manager | Executive |
|---|---|---|---|
| BASICNot yet familiar with digital/AI tools | P4 | P4 | P3 (½-day Awareness) |
| INTERMEDIATEAlready uses digital tools, wants to optimize | P1 (Practitioner Track) | P1 (Practitioner Track)P2 | P2P3 |
| ADVANCEDPower user, ready to lead transformation | P10 | P2 + SpecializationP7 (ToT) | P3P6 (B2B Advisory) |
Catalog of 10 Training Programs
Industry Use Cases — Materials & Customization
12 industries as sources of real case studies for customizing training materials.
| Industry | Priority | Use Case for Materials | Related Experts |
|---|---|---|---|
| Banking | Priority 1 | Fraud detection, AI credit scoring, customer-service chatbots, AI governance & POJK compliance, AML monitoring | Idha Kristiana (16 years in banking AI), Daniel Adhinugraha |
| Finance & Fintech | Priority 1 | Robo-advisory, risk analytics, digital lending, RegTech, decision intelligence | Idha Kristiana, Subchan Gatot |
| Education | Priority 1 | Adaptive learning, AI tutor, automated assessment, LMS, distance learning (PJJ) | Gogot Suharwoto, Prof. Meyliana, Paulina Pannen, Nunik Afriliana, Bobi Kurniawan |
| Manufacturing | Priority 1 | Predictive maintenance, QC computer vision, smart factory, IoT monitoring, digital twin | Subchan Gatot, Jahja, Bambang Yapri, Nita Felia Pambudi |
| Technology | Priority 1 | AI copilot development, MLOps, product analytics, SaaS growth | 12 founders from the technology sector — the largest pool |
| Government & SOEs (BUMN) | Priority 1 | Public service chatbots, document automation, smart city, civil servant (ASN) digital literacy | Boni Pudjianto, Gogot Suharwoto, Yasser Syaiful |
| Healthcare | Priority 2 | AI diagnostic support, patient triage, admin automation, telemedicine, health data privacy | Nunik Afriliana |
| Retail & E-Commerce | Priority 2 | Recommendation engine, dynamic pricing, inventory AI, customer analytics | Siti Elda Hiererra |
| FMCG | Priority 2 | Trade promo optimization, consumer insights, demand forecasting, route-to-market analytics | — |
| F&B | Priority 3 | Demand forecasting, menu engineering AI, supply chain optimization, food safety monitoring | — |
| Mining & Gas | Priority 3 | Predictive safety (HSE), geological analysis AI, equipment monitoring IoT, ESG reporting | — |
| Creative Industry | Priority 3 | GenAI content production, design automation, IP & copyright era AI, media analytics | Siti Elda Hiererra |
Learning Path — Participant Development Track
A staged funnel from the ecosystem's entry point to becoming a multiplier for INOPI.
P4 · AI Literacy for Everyone
Entry point to the ecosystem, high volume, affordable price
P1 · AI for Business (Flagship)
Flagship program & main revenue source
P2 · Digital Leadership
For P1 alumni who have been promoted
P3 · AI Governance Executive
The summit of the individual track — directors & C-level
P7 · Certified Trainer (ToT)
Top alumni become certified facilitators
INOPI Skills Cube
A 4-dimensional framework for analyzing training needs — Proficiency × Job Grade × Skill (Hard/Soft) × Industry. One-size-fits-all training is no longer enough: skill needs differ by level, role, type of skill, and industry. The INOPI Skills Cube maps all of them so that training hits the mark.
One Cube, Four Dimensions
Proficiency Level
Basic (L1) · Intermediate (L2) · Advanced (L3)
Job Grade
Staff (G1) · Manager (G2) · Executive (G3)
Skill
Hard Skill (H) · Soft Skill (S)
Industry
Banking, Healthcare, Manufacturing, Tech, etc.
Proficiency Level
Job Grade
Assessment · Coaching · Delivery Layers
Two thin layers wrap every cube cell — determining how skills are measured, trained, and delivered.
Assessment
Measure & map competencies
- Skill gap assessment
- Pre-test & post-test
- Competency mapping (L1→L3)
- Tiered certification
- Work-impact evaluation
Coaching
Guide skill improvement
- Mentoring 1-on-1
- On-the-job coaching
- Regular feedback & review
- Peer & group learning
- Support on real projects
Delivery
Deliver the learning
- Blended learning
- Workshops & industry case studies
- Project-based learning
- Microlearning
- e-Learning + in-person classes
Code System
Format: [INDUSTRY] · [H/S + DOMAIN] · [G#L#]
Industry · Skill Type + Domain · Grade + Level
BANK · H-AI · G1L1Basic AI for Staff in Banking ("Basic Staff")EDU · S-CREA · G1L1Basic Creative Thinking for Education StaffMFG · H-IOT · G2L3Advanced-level IoT for Manufacturing ManagersG1L1Staff · Basic → "Foundation"G2L2"Manager"G3L3"Visionary"A larger number = more senior & deeper.
Hard Skill Priority Matrix by Industry
High = urgent & widespread · Medium = important/growing · Emerging = becoming relevant
| Emerging Tech \ Industry | Banking/Finance | Healthcare | Education | Manufacturing | Mining/Energy | Technology | Retail/FMCG |
|---|---|---|---|---|---|---|---|
| AI & Machine Learning | High | High | Medium | High | Medium | High | High |
| Big Data & Analytics | High | High | Medium | High | High | High | High |
| Cloud Computing | High | Medium | Medium | Medium | Medium | High | High |
| Cyber Security | High | High | Medium | Medium | Medium | High | Medium |
| Internet of Things (IoT) | Emerging | Medium | Emerging | High | High | Medium | Medium |
| Blockchain | High | Emerging | Emerging | Emerging | Medium | Medium | Medium |
| Immersive Tech (AR/VR) | Emerging | Medium | High | Medium | Medium | Medium | Medium |
| Robotics / RPA | High | Medium | Emerging | High | Medium | Medium | Medium |
Soft Skill Priority Matrix by Level
Analytical thinking, creative thinking & resilience = high priority at all levels (WEF 2025).
| Soft Skill \ Job Grade | Staff (G1) | Manager (G2) | Executive (G3) |
|---|---|---|---|
| Analytical Thinking | High | High | High |
| Creative Thinking | High | High | High |
| Problem Solving & Decision Making | Medium | High | High |
| Communication | High | High | High |
| Leadership & Social Influence | Medium | High | High |
| Negotiation | Emerging | High | High |
| Change Management | Medium | High | High |
| Resilience & Adaptability | High | High | High |
| Public Speaking | Medium | Medium | High |
| Lifelong Learning & Curiosity | High | High | Medium |
Data-Driven Recommendations
Top 5 Most Needed Hard Skills
Top 5 Most Needed Soft Skills
Priority Combinations by Industry Group
Banking & Finance
Hard Skill: AI/ML, Big Data, Cyber Security
Soft Skill: Analytical Thinking, Decision Making
Use Case: Fraud detection, credit scoring, compliance
Healthcare & Education
Hard Skill: AI, Big Data, Immersive Tech
Soft Skill: Communication, Creative Thinking
Use Case: Telemedicine, adaptive & VR learning
Manufacturing, Mining & Energy
Hard Skill: IoT, Automation/RPA, Big Data
Soft Skill: Problem Solving, Adaptability
Use Case: Industry 4.0, predictive maintenance, HSE
Technology, Retail & FMCG
Hard Skill: AI, Cloud, Data Analytics
Soft Skill: Creative Thinking, Agility
Use Case: Personalization, forecasting, supply chain
Application Flow — 6 Stages
Success Metrics
Productivity
Task time ↓, errors ↓, output per worker ↑, tool adoption
Employability
Level gains, certification, promotions & career mobility
Organization
Cost efficiency, speed of transformation, talent retention