What is In-House AI Training?
In-house AI training is a private programme delivered exclusively for your company, at your office or a venue of your choice. Unlike open-enrolment workshops where participants from different companies learn together, in-house training is fully customised to your industry, tools, and specific business challenges.
This is the most popular format for companies with 15 or more employees who need AI training. It offers the best balance of customisation, confidentiality, and cost-effectiveness.
Why Companies Choose In-House Over Open Enrolment
Customised Content
Every aspect of the training is tailored to your company:
- Industry examples — Exercises use scenarios from your sector, not generic examples
- Company tools — Training covers the AI tools your company has approved
- Real use cases — Participants work on actual business challenges they face daily
- Company policy — Governance modules reflect your organisation's specific policies
Confidentiality
Open workshops require participants to discuss their work in front of strangers. In-house training allows your team to:
- Discuss confidential business challenges openly
- Use actual company data (anonymised as needed) in exercises
- Share sensitive productivity pain points without concern
- Develop AI policies without exposing strategic thinking
Team Building
When an entire team goes through AI training together, they:
- Develop a shared vocabulary and understanding of AI
- Build collective confidence to experiment
- Create peer accountability for adopting new skills
- Identify AI champions within the group naturally
Cost Efficiency
In-house training is more cost-effective per person:
| Format | Cost per Person (approx.) |
|---|---|
| Open workshop | RM1,500-RM3,000 / S$800-S$2,000 |
| In-house (20 pax) | RM750-RM1,750 / S$400-S$1,000 |
| In-house (30 pax) | RM500-RM1,200 / S$250-S$700 |
The per-person cost decreases as group size increases, making in-house training significantly cheaper for groups of 15+.
How In-House AI Training Works
Step 1: Needs Assessment (1-2 weeks before)
The training provider meets with your team leaders to understand:
- Your industry and competitive context
- Current AI tool usage and skill levels
- Specific business challenges and use cases
- Learning objectives and desired outcomes
- Any regulatory or compliance considerations
Step 2: Content Customisation (1 week before)
Based on the assessment, the provider customises:
- All presentation materials and slides
- Hands-on exercises and use-case scenarios
- Prompt libraries and reference guides
- Governance framework templates
- Assessment and evaluation criteria
Step 3: Training Delivery (1-2 days)
The trainer comes to your office (or a venue of your choice) and delivers the programme:
- Interactive sessions with hands-on practice
- Small group exercises using your company's real scenarios
- Q&A and troubleshooting specific to your team's needs
- Post-training action planning
Step 4: Follow-Up Support (2-4 weeks after)
Most in-house programmes include post-training support:
- Q&A session (usually virtual, 1-2 hours)
- Email support for questions that arise during adoption
- Additional prompt library resources
- Optional coaching for AI champions
Minimum Group Size
Most providers require a minimum of 10-15 participants for in-house training. This ensures the economics work and that there is enough group interaction for collaborative exercises.
For smaller teams (5-10 people), some providers offer small-group sessions at a higher per-person rate, or you can combine teams from different departments.
Scheduling Flexibility
In-house training can be scheduled to fit your team's availability:
- Full days — The most common format (1 or 2 consecutive days)
- Half-days — Spread the training over multiple sessions to reduce disruption
- Evenings or weekends — For teams that cannot take full days away from operations
- Modular delivery — Deliver different modules to different groups based on their roles
Logistics
Venue Requirements
- A conference room or training room that seats all participants
- Projector or large screen for presentations
- Wi-Fi access (participants need internet for AI tool exercises)
- Whiteboard or flipchart for group exercises
- Breakout areas for small group work (helpful but not essential)
Participant Requirements
- Laptop with approved AI tool access
- Company email for AI tool accounts (if not already set up)
- Optional: bring real work examples for practice exercises
Funding
In-house AI training is fully eligible for government subsidies:
- Malaysia: HRDF claimable (SBL/SBL-Khas, up to 100%)
- Singapore: SSG subsidies (70-90%) + SFEC + Absentee Payroll
The process is the same as for open-enrolment courses. Your training provider will typically assist with the documentation.
Related Reading
- 1-Day AI Workshop — What a typical 1-day workshop covers and costs
- AI Training Malaysia — HRDF claimable programmes across Malaysia
- AI Training Singapore — SkillsFuture subsidised programmes in Singapore
- Copilot Workshop for Companies — Hands-on Microsoft Copilot training for M365 teams
Frequently Asked Questions
Most providers require 10-15 participants minimum. For smaller groups (5-10 people), options include combining departments or a small-group session at a higher per-person rate. The ideal group size is 15-30 for the best balance of interaction and individual attention.
In-house training costs RM15,000-RM55,000 in Malaysia or S$5,000-S$25,000 in Singapore for a group of 15-30 people (1-2 days). This is more cost-effective per person than open workshops. With HRDF or SkillsFuture funding, the net cost is typically zero.
Most providers need 2-3 weeks lead time for scheduling and content customisation. For highly customised programmes with specific industry case studies, 3-4 weeks is recommended. Rush bookings (1-2 weeks) may be possible depending on the provider.