Conversation engineering
Design dialogue flows, craft prompts, implement context management strategies, and test conversational behaviours against measurable criteria.
See full syllabusStructured courses and hands-on workshops designed to teach prompt design, conversation engineering, model evaluation, and safe deployment practices. Content tailored for teams, managers, and practitioners seeking practical competence with AI-driven conversational systems.
aitlawex is an educational platform focused on practical, professional training in working with AI conversational systems. We combine instructor-led sessions, hands-on labs, and documented workflows so learners can integrate chat-based AI responsibly into business processes. Our curriculum covers prompt design, intent handling, fallback strategies, evaluation metrics, data governance basics, and operational considerations such as monitoring and escalation paths. Content is developed by practitioners with applied experience and is updated to reflect current industry practices and regulatory expectations relevant in Thailand and international contexts. We prioritise measurable skill development and practical deliverables — templates, playbooks, and sample integrations — rather than abstract theory.
Our courses are organised into progressive tracks: fundamentals for non-technical stakeholders, practitioner training for implementers, and leadership briefings for strategy and governance. Each track includes assessment checkpoints and artifacts learners can apply directly to pilot projects.
Design dialogue flows, craft prompts, implement context management strategies, and test conversational behaviours against measurable criteria.
See full syllabusOperational practices for roll-out: logging, monitoring response quality, human-in-the-loop escalation, and maintaining data privacy.
See full syllabusFrameworks for risk assessment, vendor selection criteria, and policy controls to align AI use with organisational and regulatory expectations.
See full syllabus