Torch Training and Certification in Jakarta

Torch Training and Certification in Jakarta, Indonesia

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 Jakarta, Indonesia. 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 Jakarta, Indonesia. 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 jakarta

Online Events

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More Upcoming Session Dates

November 2026

🌐 Online Instructor-Led

4th Nov 2026→5th Nov 2026

📍 Jakarta, Indonesia

5th Nov 2026→6th Nov 2026

📍 Jakarta, Indonesia

21st Nov 2026→22nd Nov 2026

🌐 Online Instructor-Led

28th Nov 2026→29th Nov 2026

December 2026

🌐 Online Instructor-Led

1st Dec 2026→2nd Dec 2026

📍 Jakarta, Indonesia

2nd Dec 2026→3rd Dec 2026

🌐 Online Instructor-Led

18th Dec 2026→19th Dec 2026

📍 Jakarta, Indonesia

22nd Dec 2026→23rd Dec 2026

January 2027

🌐 Online Instructor-Led

8th Jan 2027→9th Jan 2027

📍 Jakarta, Indonesia

9th Jan 2027→10th Jan 2027

📍 Jakarta, Indonesia

18th Jan 2027→19th Jan 2027

🌐 Online Instructor-Led

25th Jan 2027→26th Jan 2027

Events for other courses in Jakarta, Indonesia

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Torch Training and Certification in Jakarta