--- title: "AI Bootcamp Bangkok, Thailand: 3-Day Team Program | The Agentiv" description: Learn, design and build in a three-day AI bootcamp for Bangkok teams. 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[Home](https://www.theagentiv.com/?hsLang=en) 2. [AI services in Thailand](https://www.theagentiv.com/ai-services-thailand?hsLang=en) 3. AI Bootcamp in Bangkok Pause motion AI Bootcamp · Thailand # Turn a Thailand team's AI idea into a working proof of concept. Three full days to build foundations, design a practical solution and test a focused workflow or agent. Bangkok and across Thailand · 3 full days · Guided learning + proof of concept [Discuss your project](https://www.theagentiv.com/contact?market=thailand&service=ai-bootcamp&hsLang=en)[Explore Thailand services](https://www.theagentiv.com/ai-services-thailand?hsLang=en) ![Colleagues collaborating in a workshop](https://images.unsplash.com/photo-1531482615713-2afd69097998?w=1200&q=85) 3 full days A practical path forward ## From idea to working prototype LearnBuildDemonstrate Illustrative image and workflow The Agentiv AI Bootcamp gives teams in Thailand three full days of practical learning and guided building. Participants learn AI foundations, design a business use case and develop a workflow or agent proof of concept using agreed tools. Deliverables include learning materials, reusable templates, prototype documentation and a next-step backlog. Across the AI platforms your team uses ![Gemini](https://www.theagentiv.com/hubfs/Partner%20Logos/Copy%20of%20Gemini_PrimaryLogo_FullColor_Black.png) ![Copilot](https://www.theagentiv.com/hubfs/Partner%20Logos/copilot_logo-freelogovectors.webp) ![OpenAI](https://www.theagentiv.com/hubfs/Partner%20Logos/new-ChatGPT-logo-black-png-large-size.png) ![Claude](https://www.theagentiv.com/hubfs/Partner%20Logos/Claude%20AI%20logo.png) ![Perplexity AI](https://www.theagentiv.com/hubfs/Partner%20Logos/Perplexity_AI.png) ![n8n](https://www.theagentiv.com/hubfs/Partner%20Logos/n8n-Logo.png) ![Make](https://www.theagentiv.com/hubfs/Partner%20Logos/Make%20-%20Logo%20Background%20Removed.png) [Overview](https://www.theagentiv.com/ai-bootcamp-bangkok#ag-section-overview)[Outcomes](https://www.theagentiv.com/ai-bootcamp-bangkok#ag-section-outcomes)[What you receive](https://www.theagentiv.com/ai-bootcamp-bangkok#ag-section-deliverables)[Your plan](https://www.theagentiv.com/ai-bootcamp-bangkok#ag-section-plan)[Questions](https://www.theagentiv.com/ai-bootcamp-bangkok#ag-section-faqs) Your next step ## Your team has ideas. They need a structured way to test one. Turning an AI idea into something useful requires more than an impressive prompt. Teams must understand the process, plan human review and test incomplete or incorrect answers. Your people deserve a learning experience that connects those pieces. We guide them through a focused challenge over three full days, helping them build a proof of concept they can explain and use to decide what comes next. ![Colleagues collaborating in a workshop](https://images.unsplash.com/photo-1552664730-d307ca884978?w=1200&q=85) Practical work. Shared understanding.Illustrative image ### Shared foundations Establish a common understanding of AI capabilities, limitations, prompting and responsible use. This helps the group discuss opportunities without assuming everyone has the same experience. ### A clearly designed use case Turn a business challenge into a defined process with users, inputs, outputs and review points. Decide what an initial solution should do and what can wait. ### A demonstrable proof of concept Build and test a focused workflow or agent prototype using the agreed tools. Document what works, what remains uncertain and what would be needed before operational use. ### Who this helps - Teams that want an intensive introduction to applying and building with AI. - Business and operational staff with a practical challenge they can explore together. - Organizations considering a pilot and wanting a tangible learning output before a larger development engagement. - Teams able to commit three full days and participate actively in design, building and review. What we help you do ## Leave with work you can put to use. Day 1: AI foundations and practical techniques Explore suitable AI capabilities, prompting, output evaluation and responsible use. Work through practical exercises that prepare participants to approach the chosen challenge with clearer expectations. Day 2: Business use-case and solution design Map the current process, define the intended outcome and decide where AI could help. Identify required inputs, human decisions, dependencies and an achievable proof-of-concept boundary. Day 3: Guided building and testing Build a focused workflow or agent proof of concept with the agreed platform. Test representative scenarios, inspect results and prepare a demonstration that explains both capability and limitations. Reusable learning and design materials Training materials, prompting examples and templates for describing use cases, mapping processes and recording test observations. The team can reuse these when exploring later opportunities. Prototype documentation and next-step backlog A record of the initial solution, key assumptions, test findings and improvement priorities. Recommendations identify what needs further validation or engineering before a production decision. ### Choose an operational challenge your team can understand and test. A concrete process makes the bootcamp more useful: participants can see the inputs, inspect the output and decide whether the idea addresses a real problem. We help narrow a relevant challenge to an achievable learning scope. The examples below are illustrative proof-of-concept topics, not production systems or client outcomes. ### Prototype a shift or job handover assistant Explore a workflow that turns approved sample notes into a structured handover for another team. Test missing details, ambiguous instructions and the point where a supervisor should review the result. ### Build an enquiry preparation workflow Use sample enquiries to gather key information and draft an internal preparation brief. Keep customer commitments and final responses under human review while testing a useful first workflow. ### Explore a procedure-navigation agent Build an initial agent around selected approved instructions. Test whether it can locate relevant guidance and identify questions that cannot be answered from the available material. A clear plan ## Agree the outcome. Do the work. Take the next step. 1 ### Agree a challenge worth testing Before the bootcamp, confirm the audience, selected tools and a manageable business problem. Prepare approved sample information and ensure participants can access the required environment. 2 ### Learn, design and build over three days Move through a structured sequence of foundations, use-case design and guided implementation. Keep the prototype focused so the team has time to test and understand it. 3 ### Demonstrate and decide what comes next Review the proof of concept against its intended outcome. Use the documented findings to decide whether to refine the design, run a controlled pilot or scope production development. ### What we agree before starting - Three full days of facilitated learning and guided building. Dates, cohort size and delivery format are confirmed in the quotation. - The prototype fits the learning objectives and available tools. A full production system is outside this package. - Participants need devices, platform access and permission to use the agreed sample information. - A process owner should validate the problem, expected output and practical constraints. - Subscriptions, paid API usage, production integrations, deployment hardening and maintenance are quoted separately. ### Delivery in Thailand - Agree a manageable business challenge, participant cohort and approved tools before the three full days; the objective is a focused learning prototype. - Confirm session language and the use of any Thai or English samples. Nominate someone to review local terminology and process accuracy. - Arrange devices, access and approved sample information. Production integrations, deployment hardening and ongoing operation require a separately defined scope. ### How we evaluate progress - Assess whether participants can explain the problem, describe their design choices and identify where human oversight is required. - Test the proof of concept against a small set of representative cases and document observed strengths, failures and unresolved assumptions. - Agree a realistic next decision based on the findings. Potential savings or service improvements require further validation before being treated as achieved results. Make a focused start ## Give your team three days to move an idea forward. Share the challenge you want to explore and who will take part. We will help define a focused bootcamp with a useful, achievable proof-of-concept goal. [Discuss your project](https://www.theagentiv.com/contact?market=thailand&service=ai-bootcamp&hsLang=en) Share your business goal, intended users and current tools. We will agree the scope and delivery arrangements in a proposal. [AI Solution Training](https://www.theagentiv.com/ai-solution-training-bangkok?hsLang=en)[AI Enablement Program](https://www.theagentiv.com/ai-enablement-bangkok?hsLang=en)[AI Application Development: Internal Facing](https://www.theagentiv.com/internal-ai-application-development-bangkok?hsLang=en)[Singapore version](https://www.theagentiv.com/ai-bootcamp-singapore?hsLang=en) Questions, answered ## AI Bootcamp in Thailand: frequently asked questions Can the Thailand bootcamp focus on an operational workflow? Yes. We help narrow a proposed process to a scope that participants can design, build and test during the three full days. Can we put the prototype directly into live operations? Not automatically. The team documents limitations and next steps; operational use may need further testing, permissions, monitoring and engineering. What will we have built by the end of the bootcamp? A focused workflow or agent proof of concept. Its features depend on the tools, information and scope agreed before delivery. Do participants need to know how to code? Coding is not a default prerequisite. We choose exercises and building methods appropriate to the agreed audience and starting level. Is the proof of concept ready for customers or live operations? Not automatically. Further testing, security controls, monitoring and engineering may be needed. Documentation identifies work required before deployment. Can we use one of our own business problems? Yes. We help narrow it to an achievable proof-of-concept scope and use approved or anonymized examples for exercises. How is this different from AI Solution Training? Solution Training teaches one platform in half a day. Bootcamp combines foundations, use-case design and prototype building over three full days. How is this different from the AI Enablement Program? Bootcamp is three concentrated days. Enablement allocates ten person-days across scoping, facilitated delivery and a later adoption review. [![The Agentiv](https://www.theagentiv.com/hs-fs/hubfs/Main%20Logos/The%20Agentiv%20-%20Logo%20-%20White.png?width=240&height=88&name=The%20Agentiv%20-%20Logo%20-%20White.png)](https://www.theagentiv.com?hsLang=en) The dedicated AI consulting arm of Digigen. Southeast Asia's multi-platform AI consulting firm. - - - Home - Company - Team - Careers - Work - Design Portfolio - Case Studies - Pricing - Resources - Content Marketing - Contact - Blog ©2026 Digigen Pte. Ltd. All rights reserved. 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