Core ML concepts, supervised workflows, evaluation basics and a first model lab — the practical starting point before deeper AI or cloud ML certifications.
⏱Duration: 3 days / 24 hrs
💻Format: Instructor-Led + Labs
🌐Delivery: On-site · Virtual · Hybrid
✅Pass rate: 94%
📅Next intake: 12 Oct 2026
🧠
ML vocabulary
Speak confidently with data teams
📊
First model
Train and evaluate a real dataset
🧭
Path clarity
Know what to learn next
🛡️
Pitfalls
Avoid leakage and vanity metrics
What this programme is
ML without the fog.
Learn how machine learning problems are framed, how data becomes features, and how to train and evaluate simple models with confidence.
Ideal before AI/ML Bootcamp, DP-100 or cloud ML specialty tracks.
Delivered by Nexperts Academy trainers with Malaysian enterprise examples, HRD Corp claim support available for eligible employers.
Who should take this course
📊
Analysts
Excel/SQL users exploring ML.
💻
Developers
New to model workflows.
🎓
Students
Foundation before bootcamps.
📈
Managers
Literacy for AI initiatives.
🏢
Teams
Shared vocabulary for pilots.
🧪
Career switchers
Portfolio-ready first project.
Prerequisites
✓ Basic Python helpful but not mandatory
✓ Comfort with spreadsheets
→ Ask enrolment for a free readiness checklist before class.
Curriculum
Structured modules. Lab checkpoints.
Concept briefings, guided labs and a practical deliverable you can show at work.
Hands-on Labs
Practice. Reviewed.
Labs run on managed environments — minimal local setup required.
01
Baseline
First model in under 90 minutes.
ML
02
Features
Clean and encode.
Data
03
Compare
Pick a winner with evidence.
Eval
04
Present
Stakeholder-ready summary.
Story
+ Mentor office hours for sticky blockers.
Assessment
Practical checkpoint. Certificate.
Complete the guided labs and final mini-project to earn your Nexperts Academy certificate.
Completion rubric
LabsCore labs completed with tutor sign-off
ProjectMini-project meets the published checklist
AttendanceMinimum attendance threshold met
PassingCertificate issued
ResitOne remediation session included
Our 3-Mock Exam Programme
01
Concept check
Quick quiz after each module.
02
Lab review
Peer + tutor feedback.
03
Project dry-run
Present before final submit.
0%
Pass Rate
94% complete labs on schedule.
We keep cohorts small enough for real feedback — not slide-only delivery.
ML vocabularyFirst modelPath clarity94% passMentors
Why our pass rate is 94%
Self-paced video only
No reviewed artefact.
Nexperts
Lab sign-off + mentor feedback.
Your next step
Keep building the pathway.
Stack related AI and data programmes once foundations are solid.
