Learn AI with practical cases and applied scenarios
cybrixfy delivers short, scenario-driven courses on chatbot design, prompt strategies, and workflow automation. Each lesson centers on a real use case so you leave with tools and templates to apply immediately.
Describe the scenario you want to solve and preferred dates
Meet the team
Instructors and practitioners focused on real scenarios
Alex Mercer
Head of Curriculum
Alex develops case-driven modules and oversees practical labs. Background includes product management and operational deployments where he led projects that turned generic AI features into usable workflows for frontline teams.
Sophie Hart
Lead Learning Designer
Sophie designs workshop experiences that prioritize hands-on exercises, stepwise debugging practices, and reuseable prompt templates. Her work emphasizes measurable improvements in task completion time and error reduction through iterative classroom pilots.
Niran Phanich
Industry Partnerships Manager
Our instructors combine classroom experience with hands-on deployments. Each module includes a case study from Thai SMEs and regional teams in Phuket, showing step-by-step workflows, prompt engineering scenarios, and integration blueprints. Learners work through realistic datasets, simulated customer queries, and iterative evaluation cycles to build practical skills rather than abstract theory.
Practical AI skills
Applied Learning
Courses Focused on Real-world AI Workflows
Scenario-driven modules, tangible outcomes for teams and individuals
cybrixfy delivers course sequences designed around concrete scenarios: customer support automation for a small hotel, knowledge base augmentation for an e-commerce boutique, and internal productivity agents for marketing teams. Each course breaks the scenario into milestones: analysis of needs, prompt and conversation design, safety and privacy checks, evaluation metrics, and deployment steps. Students follow sample datasets, adapt templates to their use case, and complete a capstone that maps a deployment plan to their own organization.
A sequence of hands-on sessions that start with conversation design and end with testing on live-like transcripts. Includes real examples from hospitality and retail businesses in Thailand so learners can see direct relevance.
Focuses on multi-turn interactions, context management, and routing strategies. Learners implement a small agent that handles bookings and hands off complex tasks to humans.
Courses emphasize stepwise improvement: prototype, evaluate with user scenarios, iterate based on metrics, and prepare an integration plan. Each feature below maps to specific exercises used in our capstone projects.
Prototype with real transcripts
Import anonymized chat logs, set objectives, and build a prototype conversational flow that addresses the most frequent user intents identified in the data.
Use scenario-based evaluation: create test scripts, collect failure examples, and tune prompts and routing logic to reduce friction in the user journey.