Use AI tools responsibly for analysis, automation, and productivity.
Explore AI-assisted workflows for research, data tasks, reporting, prompt design, and business problem solving. Learn through live guidance, practical code labs, instructor feedback, and an industry-tested curriculum.
This course focuses on practical application, guided work, and subject-specific projects.
Learning Outcomes
Explain core LLM concepts
Write structured prompts
Validate AI-generated work
Design repeatable AI workflows
Improve business writing
Support research and analysis
Document responsible AI use
Build an AI-enabled process
Practical Skills
Project-Based Learning
Every major skill is connected to realistic practice. Expand a project to see the subject-specific workflow, sample output, and deliverable.
Create a verifiable research workflow with source checks.
Output: Research brief + source log
Prompt Workflow
Turn a rough brief into polished business communication.
Output: Writing workflow + final copy
Prompt Workflow
Use AI to support analytical questions while checking every result.
Output: Validated analysis workflow
Prompt Workflow
Design an assistant for a repeatable team task.
Output: Assistant instructions + test cases
Prompt Workflow
Build reusable prompts for several business scenarios.
Output: Documented prompt library
Prompt Workflow
Course output 01
Course output 02
Course output 03
Course output 04
Course output 05
Design, test, and document a responsible AI workflow for a real business process.
Course Tools
Guided generation.
Reusable instructions.
Process design.
Quality control.
Work with subject-appropriate business scenarios.
Create outputs yourself with instructor guidance.
Connect technical work to a useful conclusion.
Finish with work you can demonstrate.
Next Live Cohort
Join the next live cohort, practice with realistic work, and complete a course-specific capstone.
Prerequisites
A laptop for in-class practice and project coding labs.
Basic computer confidence with files, web tools, and spreadsheets.
Commitment to attend live interactive sessions and complete homework.
No advanced mathematics or coding required for foundation tracks.
Target Audience
Cohort Logistics
Practical workshops
4 weeks
Khmer and English
Contact an advisor on Telegram to confirm specific cohort start dates, schedule choices, and seat availability.
Faculty
Courses are prepared with bilingual Khmer and English explanations, guided code examples, and supportive feedback.
Certification
Credentials reflect live attendance, code assignments, project capstone submission, and instructor rubric review.
Live program attendance
Weekly assignment labs
Final project capstone
Instructor rubric evaluation
Enrollment Process
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Curriculum Structure
Interactive live sessions where concepts are coded live and reviewed with students.
Build demonstrable outputs: notebooks, dashboards, SQL warehouses, and ML models.
24/7 access to cohort recordings, datasets, assignments, and rubric grading.
Course Questions
No. Data Insight Cambodia programs are live instructor-led cohorts. Recordings and portal resources are provided to help students review between sessions.
Beginner programs start from scratch. Intermediate programs outline their recommended preparation during the 1-on-1 advisor consultation.
Students receive an official verifiable digital credential after completing the required live sessions, assignments, and final capstone review.
We support students with practical capstones, portfolio reviews, career consultation, and partner introductions.
Admissions Desk
Connect with Data Insight Cambodia on Telegram to verify schedule options, curriculum questions, and enrollment details.