Practical instructor-led Deep Learning Using PyTorch for professionals in Malaysia — workplace scenarios, guided labs and reusable workflows.
⏱Duration: Enquire for schedule
💻Format: Instructor-Led + Labs
🌐Delivery: Classroom · Virtual · Hybrid
✅Pass rate: 94%
📅Next intake: Enquire
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Practical skills
Hands-on techniques you can use at work
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Guided labs
Instructor-led practice with realistic scenarios
🛡️
Responsible use
Accuracy, privacy and human oversight habits
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Portfolio output
Finish with a demonstrable work product
AI & Automation
Practical training for Malaysia.
Deep learning powers image recognition, language applications, recommendation systems and many modern AI products. This hands-on course teaches the core principles of neural networks using PyTorch. Learners progress from tensors and automatic differentiation to model training, evaluation, convolutional networks, transfer learning and practical deployment considerations. Emphasis is placed on reproducible experiments, responsible use of data and explaining model limitations—not simply running pre-written notebooks.
Delivered by Nexperts Academy with Malaysian workplace examples. Exact duration, delivery dates and fees are confirmed at enrolment. HRD Corp claim support is available for eligible employers.
Practical skills course — Deep Learning Using PyTorch.
This programme focuses on applied capability rather than an external vendor examination voucher unless separately arranged.
Who should take this course
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Python developers exploring deep learning and AI
Python developers exploring deep learning and AI engineering.
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Data analysts and data scientists ready to advan
Data analysts and data scientists ready to advance beyond introductory machine learning.
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Software engineers who want to integrate trained
Software engineers who want to integrate trained models into applications.
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IT professionals transitioning toward machine le
IT professionals transitioning toward machine learning engineering.
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University students and graduates seeking a prac
University students and graduates seeking a practical neural network portfolio.
Prerequisites
✓ Working understanding of computers and common business applications
✓ Role-specific courses may require Python, spreadsheets or prior tool exposure
✓ Review your experience with a Nexperts training adviser before enrolling
→ Ask enrolment for a free readiness check before class.
Curriculum
Structured modules. Practical checkpoints.
Instructor explanation, guided labs and knowledge checks aligned to workplace outcomes.
Hands-on Practice
Apply. Review.
Guided scenarios reinforce concepts with realistic workplace examples.
01
Scenario labs
Apply concepts to practical workplace situations.
Labs
02
Knowledge checks
Confirm understanding before the next module.
Check
03
Project checkpoint
Build a demonstrable work product.
Project
+ Enrolment confirms lab environment details for your cohort.
Assessment
Practical checkpoint. Certificate.
Complete guided labs and the mini-project to earn your Nexperts Academy certificate of completion.
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 checks
Short knowledge checks after key modules.
02
Lab review
Tutor feedback on practical work.
03
Project dry-run
Present before final submit.
0%
Pass Rate
94% cohort completion with mentor support.
We keep cohorts practical — applied scenarios, not slide-only delivery.
Mentor-ledLab-drivenMalaysia cohortsAI 2026
Why our pass rate is 94%
Self-paced video only
Limited feedback and weak workplace transfer.
Nexperts
Instructor-led pathway with guided scenarios.
Your next step
Continue the pathway.
Stack related AI, automation or analytics programmes once foundations are solid.
