Why Choose a 2-Day AI Workshop?
A 1-day workshop gives your team AI literacy. A 2-day workshop gives them AI capability — the ability to apply AI independently, build new workflows, and drive adoption within their departments.
The extra day allows for deeper practice, use-case prototyping, policy development, and implementation planning. Teams leave Day 2 not just with skills, but with a concrete plan for how they will use AI in their daily work.
What Day 2 Adds to the Foundation
Day 1 covers the same fundamentals as a 1-day workshop: AI overview, tool practice, basic prompt engineering, and governance. Day 2 builds on this with:
Advanced Prompt Engineering (2.5 hours)
- Chain-of-thought prompting — Breaking complex tasks into sequential steps
- Role and persona prompts — Getting AI to respond as a specific expert
- Constraint-based prompting — Controlling output format, length, and tone
- Few-shot prompting — Teaching AI through examples
- Evaluation prompts — Getting AI to critique and improve its own output
Use-Case Prototyping (2.5 hours)
Participants work in small groups to:
- Identify the highest-impact AI use case for their department
- Design the workflow (inputs, AI processing, human review, output)
- Build a working prototype using the AI tools from Day 1
- Test the prototype with real or realistic data
- Present their prototype to the group for feedback
AI Policy Workshop (1.5 hours)
Collaborative development of your company's AI usage policy:
- Approved AI tools and platforms
- Data classification: what can/cannot be used with AI
- Quality assurance requirements for AI outputs
- Disclosure requirements: when to indicate AI was used
- Incident reporting: what to do when AI produces errors
Implementation Planning (1.5 hours)
Creating a concrete 90-day AI adoption plan:
- Quick wins to implement in Week 1
- Department-specific rollout priorities
- Success metrics and KPIs
- Training cascade: how attendees will train their teams
- Check-in schedule for accountability
2-Day Workshop Schedule
Day 1
| Time | Session |
|---|---|
| 09:00 - 10:30 | AI Landscape & Tool Overview |
| 10:45 - 12:15 | Hands-On: AI Tools for Business |
| 13:15 - 14:45 | Prompt Engineering Fundamentals |
| 15:00 - 16:30 | Department Use Cases |
| 16:30 - 17:00 | Day 1 Wrap-Up |
Day 2
| Time | Session |
|---|---|
| 09:00 - 11:30 | Advanced Prompt Engineering |
| 11:45 - 12:15 | Use-Case Prototyping: Planning |
| 13:15 - 14:45 | Use-Case Prototyping: Building |
| 15:00 - 16:00 | AI Policy Workshop |
| 16:00 - 16:45 | Implementation Planning |
| 16:45 - 17:00 | Presentations & Next Steps |
Who Benefits Most from 2 Days
A 2-day workshop is recommended for:
- AI champion teams — Employees selected to lead AI adoption in their departments
- Innovation teams — Groups tasked with identifying and implementing AI use cases
- Management teams — Leaders who need both strategic understanding and practical skills
- Departments with clear use cases — Teams that know what they want to achieve with AI and need help implementing it
Outcomes: What Teams Leave With
| Deliverable | Description |
|---|---|
| AI skills certification | Completion certificate for all participants |
| Prompt library | 50+ curated prompts for their specific roles |
| Use-case prototype | Working prototype of at least one AI workflow |
| AI usage policy (draft) | Company-specific policy ready for review |
| 90-day implementation plan | Concrete action plan with timeline and owners |
| Reference materials | Guide covering all topics from both days |
Cost and Funding
Malaysia
- Typical cost: RM25,000-RM55,000 for 15-30 participants
- HRDF claimable: Up to 100% under SBL scheme
- Net cost: Usually zero after reimbursement
Singapore
- Typical cost: S$8,000-S$25,000 for 15-30 participants
- SSG subsidy: 70-90% of per-participant fees
- SFEC + AP funding covers remaining costs
- Net cost: Usually zero or negative
Related Reading
- 1-Day AI Workshop — A focused introduction for teams new to AI
- In-House AI Training — Private programmes at your office with customised content
- AI Champions Program — Build an internal team of AI champions to sustain adoption
Why the Two-Day Format Outperforms Alternatives for Enterprise Skill Development
Extended immersion formats consistently demonstrate superior learning outcomes compared to compressed single-day or distributed multi-week alternatives. Neuroscience research published by the Learning and Performance Institute in September 2025 confirmed that spaced practice distributed across two consecutive days with overnight consolidation produced forty-two percent higher skill retention at sixty-day measurement compared to equivalent content delivered in a single intensive session. Simultaneously, the concentrated timeframe avoids the momentum decay and context-switching costs associated with programs distributed across four to eight weekly sessions.
Pertama Partners refined its two-day workshop architecture through over one hundred fifty deliveries across Singapore, Malaysia, Thailand, Indonesia, Vietnam, the Philippines, Australia, and Hong Kong between January 2025 and February 2026, incorporating structured feedback from more than three thousand participants representing financial services, healthcare, manufacturing, professional services, technology, and government sectors.
Detailed Session Architecture for Maximum Retention
Day 1 Morning (09:00-12:30) — Foundation Building and Platform Orientation. Sessions establish conceptual vocabulary, demonstrate capabilities and limitations through live examples, and guide participants through supervised account configuration for ChatGPT Enterprise, Microsoft Copilot, Claude Teams, Google Gemini Advanced, or Perplexity Pro depending on organizational technology selections. Facilitators address common misconceptions identified through pre-workshop surveys distributed via Typeform or Microsoft Forms fourteen days before delivery.
Day 1 Afternoon (13:30-17:00) — Department-Specific Application Workshops. Participants separate into functional breakout groups — finance, marketing, operations, human resources, legal, and technology — each led by specialist facilitators with domain expertise. Exercises utilize authentic business scenarios sourced from pre-workshop discovery interviews with departmental managers. Participants produce tangible workflow artifacts including prompt libraries, automation blueprints, and standard operating procedure drafts they retain for immediate workplace application.
Day 1 Evening (Optional 18:00-19:30) — Innovation Showcase and Networking. Organizations hosting participants from multiple offices or business units benefit from structured networking sessions where teams present their afternoon artifacts. This cross-pollination mechanism frequently generates unexpected application ideas as participants observe how colleagues in different departments approach similar challenges using different methodological frameworks.
Day 2 Morning (09:00-12:30) — Advanced Techniques and Workflow Integration. Content escalates to multi-step prompt chaining, retrieval-augmented generation concepts, and platform automation using Zapier, Make.com, Microsoft Power Automate, or Workato connectors. Participants build end-to-end workflows connecting generative assistants to existing enterprise systems including Salesforce, SAP, Oracle, ServiceNow, Jira, Confluence, Notion, and Monday.com. Sessions also introduce evaluation methodologies for assessing output quality using rubric-based scoring frameworks adapted from machine learning operations practices documented by Google DeepMind researchers.
Day 2 Afternoon (13:30-17:00) — Governance Framework, Action Planning, and Capstone Exercise. Final sessions address responsible usage policies aligned to organizational data classification requirements and regional regulatory frameworks. Participants complete a capstone exercise solving a complex cross-departmental challenge requiring collaboration between functional groups, simulating realistic organizational deployment dynamics. The session concludes with individual action plan construction specifying five measurable commitments for the subsequent sixty days.
How Two-Day Workshops Differ From Bootcamp and Certificate Programs
Two-day workshops target immediate practical application rather than comprehensive theoretical coverage. University certificate programs offered by institutions including the National University of Singapore, Nanyang Technological University, INSEAD, Melbourne Business School, and Hong Kong University of Science and Technology typically span eight to twelve weeks and emphasize algorithmic understanding and strategic leadership concepts. Bootcamp formats from General Assembly, Le Wagon, or Hyper Island focus on technical implementation skills for developers and data scientists.
The Pertama Partners two-day workshop occupies a distinct position — delivering practical workflow competency for business professionals who need to leverage existing enterprise platforms without requiring programming proficiency or algorithmic theory knowledge. This positioning makes the format particularly suitable for organizations seeking rapid capability uplift across non-technical departments while maintaining ongoing operations without extended employee absence from productive work.
Post-Workshop Reinforcement Architecture
Sustained behavioral change requires structured follow-up mechanisms. Pertama Partners recommends implementing four reinforcement elements: weekly fifteen-minute peer accountability conversations between paired participants; monthly virtual masterclass sessions introducing newly released platform capabilities; quarterly competency assessment surveys measuring confidence progression and documented productivity improvements; and dedicated collaboration channels on Slack or Microsoft Teams where participants share successful applications, troubleshoot challenges, and celebrate workflow transformation milestones tracked through organizational productivity dashboards.
Common Questions
A 1-day workshop covers AI fundamentals, basic tool use, and prompt engineering. A 2-day workshop adds advanced prompt engineering, use-case prototyping, AI policy development, and implementation planning. Teams leave Day 2 with a working prototype and a 90-day adoption plan.
In Malaysia, a 2-day workshop costs RM25,000-RM55,000 for 15-30 participants, fully HRDF claimable. In Singapore, costs range from S$8,000-S$25,000 with 70-90% SSG subsidies plus SFEC and AP funding. Most companies pay zero net cost.
Choose 1 day if your goal is AI literacy and basic skills. Choose 2 days if you want teams to build AI workflows, create company AI policies, and leave with a concrete implementation plan. Teams selected as AI champions should always do 2 days.
References
- AI Risk Management Framework (AI RMF 1.0). National Institute of Standards and Technology (NIST) (2023). View source
- ISO/IEC 42001:2023 — Artificial Intelligence Management System. International Organization for Standardization (2023). View source
- Model AI Governance Framework (Second Edition). PDPC and IMDA Singapore (2020). View source
- Training Subsidies for Employers — SkillsFuture for Business. SkillsFuture Singapore (2024). View source
- HRD Corp — Employer Training Programs & Grants. Human Resources Development Fund (HRDF) Malaysia (2024). View source
- OWASP Top 10 for Large Language Model Applications 2025. OWASP Foundation (2025). View source
- Enterprise Development Grant (EDG) — Enterprise Singapore. Enterprise Singapore (2024). View source
