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Join BotLabLearn for focused, case-based training that leads to tangible chatbot components and documented scenario outcomes.

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Case Study Approach

From Workshop to Working Bot: a Kuala Lumpur SME Scenario

We present a step-by-step case where a local SME engaged BotLabLearn for a focused 6-week cohort. The team completed customer intent mapping, built a small intent classifier, and deployed a tested chatbot on their website. Each week included a scenario-driven lab tied to business metrics, such as reduced first-response time and a documented handover pack for internal IT.

The case study highlights pragmatic decisions: using pre-trained components to shorten build time, prioritizing a limited set of high-impact intents, and scheduling short retrospectives to align stakeholders. BotLabLearn documents all artifacts so the SME could continue iteration after the cohort.

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Scenario

Support chatbot for retail SME

Focus on common queries, returns handling, and escalations to human agents; built in lab 3 and tested with sample traffic patterns.

Outcome

Working prototype

Delivered a tested prototype with monitoring scripts and a 2-week handover plan for the SME's IT staff.

Format

Blended cohort

Evening lectures, weekend labs, and dedicated deployment support sessions tailored to team schedules.

Course highlights

Practical labs, project deliverables, and local case scenarios designed to make skills transferable to workplace needs. BotLabLearn focuses on reproducible workflows and integration readiness.

Hands-on labs

Laboratory exercises that mirror common business scenarios, from FAQ bots to transactional assistants.

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Project deliverables

Each course culminates in a documented chatbot prototype and test plan ready for handover.

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Local scenarios

Examples and datasets reflecting Malaysian business contexts to ensure relevance and applicability.

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Contact information

Reach BotLabLearn in Kuala Lumpur

Address

20, Jalan Tun Mohammed Fuad 1, Taman Tun Doctor Ismail, 60000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Phone

+60127135334

[email protected]