Prompt engineering, RAG, fine-tuning basics, evaluation and safe deployment — build production-minded Gen AI literacy for Malaysian teams shipping copilots, assistants and content workflows.
⏱Duration: 5 days / 40 hrs
💻Format: Instructor-Led + LLM Labs
🌐Delivery: On-site · Virtual · Hybrid
✅Pass rate: 93%
📅Next intake: 14 Oct 2026
✨
Prompt systems
Structured prompts, few-shot patterns and guardrails
🔗
RAG pipelines
Embeddings, retrieval, chunking and citation UX
🎯
Evaluation
Human + automated metrics that catch regressions
🛡️
Safe deployment
PII handling, red-teaming basics, audit trails
What this programme is
From demos to dependable Gen AI.
Generative AI pilots fail when teams treat LLMs like search boxes. This programme coaches practitioners through the full loop — problem framing, retrieval design, evaluation harnesses and deployment guardrails — using Malaysian enterprise scenarios (support, HR policy, sales enablement).
Every module ends in a lab checkpoint with instructor review. You leave with a defended capstone assistant, not slide screenshots.
Graduates typically continue with Microsoft AI-102, Azure OpenAI specialisation or AWS Generative AI depending on cloud standardisation.
Who should take this course
💻
Developers & data
You ship features and need Gen AI patterns.
📊
Analysts & PMs
You sponsor copilots and need hands-on literacy.
🏢
Enterprise cohorts
Closed-team pricing with HRD Corp paperwork.
🎓
Career switchers
Portfolio-ready Gen AI artefact.
🧪
Innovation labs
Rapid prototyping before vendor PoCs.
📈
Leads & architects
Evaluation and safety vocabulary for steering.
Prerequisites
✓ Comfortable with Python or JavaScript basics
✓ Familiarity with APIs and JSON helpful
✓ Laptop with 16 GB RAM recommended
→ Optional LLM fundamentals primer available one week before start — ask enrolment.
