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Intermediate
2026
Deep Learning
Deep Learning
Using PyTorch
Tensors, neural networks, training loops and transfer learning with PyTorch — hands-on deep learning for practitioners who already know basic ML.
🔥
PyTorch fluency
Write clean training code
🖼️
Transfer learning
Strong results faster
📈
Debug skills
Spot overfitting early
📦
Project artefact
Portfolio-ready notebook
What this programme is
PyTorch that
actually trains.
Move from classical ML into neural networks with clean PyTorch patterns: datasets, models, optimisers, checkpoints and evaluation.
Includes GPU lab access and a mini image or text classification project.
Delivered by Nexperts Academy trainers with Malaysian enterprise examples, HRD Corp claim support available for eligible employers.
Who should take this course
💻
ML engineers
Moving into deep learning.
📊
Data scientists
Need PyTorch practice.
🎓
Graduates
Strengthen DL portfolio.
🧪
Researchers
Modern training patterns.
🏢
AI teams
Shared PyTorch standard.
📈
Bootcamp grads
Next step after scikit-learn.
Prerequisites
✓ Python proficiency
✓ Intro ML or equivalent experience
✓ 16 GB RAM recommended
→ 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
Tensors
Autograd drills.
Core
02
Train
End-to-end loop.
NN
03
Transfer
Fine-tune a model.
CNN
04
Ship
Save & evaluate.
Project
+ 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.
94% complete labs
on schedule.
We keep cohorts small enough for real feedback — not slide-only delivery.
PyTorch fluency
Transfer learning
Debug skills
94% pass
Mentors
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.
Before this
Intro to ML
Classical ML foundation.
Prep →
Recommended next
Gen AI / DP-100
LLMs or Azure ML.
Talk to us →
Path
Full deep learning career path
Intro ML
→
PyTorch DL ← You
→
AI/ML Bootcamp
Deep learning practitioners in MY typically target RM 7,000 – RM 14,000/month with production experience.
Learner feedback
What participants
say.
★★★★★
"Clear labs and practical examples — usable at work the same week."
AS
Aina S.
Analyst
✓ Completed
★★★★★
"Instructors answered real project questions, not just textbook ones."
KT
Kevin T.
Engineer
✓ Completed
★★★★
"Well paced — arrive with the prerequisites done."
LM
Li Mei
Consultant
✓ Completed
★★★★★
"HRD Corp paperwork was handled smoothly for our team cohort."
NR
Nabil R.
L&D lead
✓ Completed
Frequently Asked Questions
Deep Learning Using PyTorch
FAQs.
