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.
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 foundation with four intensive modules that transform knowledge into organizational capability.
This module takes participants well beyond basic prompting into techniques that produce consistently professional-grade AI outputs. Participants learn chain-of-thought prompting, which breaks complex tasks into sequential steps the AI follows methodically. They practice role and persona prompts to get AI responding as a specific expert, and constraint-based prompting to control output format, length, and tone with precision. The session also covers few-shot prompting, where participants teach AI through carefully constructed examples, and evaluation prompts that get AI to critique and improve its own output before delivery.
Participants work in small groups to identify the highest-impact AI use case for their department and design the complete workflow, from inputs through AI processing, human review, and final output. Each group builds a working prototype using the AI tools introduced on Day 1, then tests that prototype with real or realistic data. The session concludes with each group presenting their prototype to the wider cohort for structured feedback and refinement.
This collaborative session produces a draft AI usage policy tailored to your organization. Participants work through the critical governance areas together: approved AI tools and platforms, data classification rules defining what can and cannot be used with AI, quality assurance requirements for AI outputs, disclosure requirements specifying when to indicate AI involvement, and incident reporting procedures for when AI produces errors. The output is a practical policy document ready for leadership review.
The final module translates workshop learning into a concrete 90-day AI adoption plan. Participants identify quick wins to implement in Week 1, define department-specific rollout priorities, and establish success metrics and KPIs to track progress. The plan also includes a training cascade strategy so attendees can effectively train their broader teams, along with a check-in schedule to maintain accountability through the critical first quarter of adoption.
| 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 |
| 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 |
The 2-day format delivers the greatest value for four organizational profiles. AI champion teams, employees selected to lead AI adoption in their departments, benefit from the extended practice time and policy development experience they will need to guide colleagues. Innovation teams tasked with identifying and implementing AI use cases gain hands-on prototyping skills that accelerate their evaluation cycles. Management teams who need both strategic understanding and practical proficiency use the second day to bridge the gap between conceptual knowledge and applied capability. Finally, departments with clearly defined use cases that already know what they want to achieve with AI use the prototyping and planning sessions to build working solutions they can deploy immediately.
| 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 |
Organizations in Malaysia typically invest RM25,000 to RM55,000 for a cohort of 15 to 30 participants. This investment is fully claimable under the HRDF SBL scheme at up to 100% reimbursement, bringing the net cost to zero for most qualifying organizations.
Singapore-based organizations face a typical investment of S$8,000 to S$25,000 for 15 to 30 participants. SkillsFuture Singapore (SSG) subsidies cover 70 to 90 percent of per-participant fees, and remaining costs are typically offset through SFEC and AP funding. The net cost for most qualifying organizations is zero or negative after all subsidies are applied.
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.
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.
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.
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.
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.
