Torch Training and Certification in Kuala Lumpur

Torch Training and Certification in Kuala Lumpur, Malaysia

Participants will learn how to build, train, optimize, and deploy deep learning models using Torch.

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Torch Training and Certification is a professional training program delivered by ProgNXT in Kuala Lumpur, Malaysia. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Torch Training and Certification course with hands-on, instructor-led sessions. This course provides an in-depth introduction to Torch, a powerful deep learning framework known for its flexibility and ease of use in training...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: PPI87
14 Hrs
Last Updated: April 2026

Course Rating5/5

This course provides an in-depth introduction to Torch, a powerful deep learning framework known for its flexibility and ease of use in training neural networks. Participants will learn how to build, train, optimize, and deploy deep learning models using Torch, covering key topics like tensor operations, automatic differentiation, neural network design, and model deployment.

Welcome to the official Torch Training and Certification certification program in Kuala Lumpur, Malaysia. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic proficiency in Python or Lua (Torch's primary language)
Understanding of machine learning and deep learning concepts
Familiarity with Neural Networks (CNNs, RNNs, LSTMs, etc.)
Experience with basic linear algebra and matrix operations

By the end of the course, participants will be able to:

Understand Torch’s architecture and core libraries
Perform efficient tensor operations and automatic differentiation
Build and train deep learning models using Torch
Optimize model performance using loss functions and optimizers
Deploy trained models for real-world applications

Hands-on experience with Torch tensor operations
Building and training neural networks using Torch’s NN package
Implementing backpropagation and automatic differentiation
Optimizing models using Torch optimizers and learning rate scheduling
Deploying models using Torch’s scripting and serialization tools

Understanding Torch tensors and automatic differentiation
Implementing deep learning models using Torch’s NN package
Model optimization techniques and hyperparameter tuning
Deploying trained models for real-world applications

Participants who complete the training and actively engage in exercises will receive a ProgNXT Certificate of Completion.

Introduction to Torch and Tensors

Overview of Torch and deep learning frameworks
Installing and setting up Torch environment
Working with Torch Tensors and tensor operations
Introduction to automatic differentiation with Autograd

Building and Training Deep Learning Models

Understanding Neural Networks (NN) package in Torch
Implementing feedforward networks and activation functions
Training models using loss functions and gradient descent
Optimizing deep learning models with SGD, Adam, and RMSprop

Advanced Topics and Model Deployment

Working with Recurrent Neural Networks (RNNs) and LSTMs
Transfer learning and fine-tuning pre-trained models
Deploying models using TorchScript for inference
Hands-on: Deploying a deep learning model using Torch

Lecture slides and official Torch documentation
Jupyter Notebooks for Torch deep learning exercises
Sample datasets for image and text-based deep learning tasks

Participants will be evaluated through a hands-on project and a final quiz.
ProgNXT Certificate of completion will be awarded to participants who successfully complete the assessments.

Torch Training and Certification Events in kuala-lumpur

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

25th Oct 2026→26th Oct 2026

📍 Kuala Lumpur, Malaysia

26th Oct 2026→27th Oct 2026

November 2026

📍 Kuala Lumpur, Malaysia

1st Nov 2026→2nd Nov 2026

🌐 Online Instructor-Led

11th Nov 2026→12th Nov 2026

🌐 Online Instructor-Led

26th Nov 2026→27th Nov 2026

📍 Kuala Lumpur, Malaysia

27th Nov 2026→28th Nov 2026

December 2026

🌐 Online Instructor-Led

8th Dec 2026→9th Dec 2026

📍 Kuala Lumpur, Malaysia

10th Dec 2026→11th Dec 2026

🌐 Online Instructor-Led

27th Dec 2026→28th Dec 2026

📍 Kuala Lumpur, Malaysia

28th Dec 2026→29th Dec 2026

Events for other courses in Kuala Lumpur, Malaysia

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Torch Training and Certification in Kuala Lumpur