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HRDF Approved Training Provider in Malaysia - Modular Fast Track Skill-Based Trainings

Deep Learning with PyTorch

Pytorch is one of the most powerful Artificial Intelligence and Deep Learning framework in the World. Deep learning is now a new "electricity" and "superpower" that will let you build AI systems that just weren't possible a few years ago. Deep learning engineers are also highly sought after, and mastering deep learning will give you numerous new career opportunities. This course will show you how to build deep learning applications using Pytorch.

The topics include

  • Installing Pytorch
  • Math Operations with Pytorch
  • Neural Networks with Pytorch
  • Deep Learning with Pytorch
  • Image Recognition with Convolutional Neural Network (CNN)
  • Reinforcement Learning with Pytorch

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M551

Course Booking


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Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details


Day 1

Module 1 Getting Started

  • What is Pytorch
  • Install and Run Pytorch

Module 2 Basic Pytorch Operations

  • Pytorch Tensors
  • Numpy Bridge
  • Variables
  • Autograd 

Module 3 Linear Regression with Pytorch

  • Linear Regression Model
  • Loss Function 
  • Optimizer
  • Training

Module 4 Neural Network (NN)

  • What is Neural Network 
  • Cross Entropy Loss
  • Load Datasets with Torchvision
  • Create Deep Neural Network with Pytorch
  • Load and Save Mode

Day 2

Module 5 Convolutional Neural Network (CNN)

  • What is CNN?
  • CNN Architecture
  • Convolution and Pooling
  • Dropout
  • CNN Classification
  • Transfer Learning

Module 6 Recurrent Neural Network (RNN)

  • What is RNN?
  • RNN Architecture 
  • Long Term Dependencies
  • LSTM and GRU
  • RNN Classification

Module 7 Reinforcement Learning (RL)

  • What is Reinforcement Learning?
  • Q-Learning
  • OpenAI Gym
  • Deep-Q Network (DQN)

Who Should Attend

  • Data Scientists
  • Data Analysts
  • Engineers



This is a intermediate course. The following knowledge is asumed:

  • Basic Python

Software Requirement

Please install the following software prior to the class

1. Pycharm : - Install Pycharm (

2 . Install Pytorch 

Please follow this guide to install Pytorch


Data Science TrainerDr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

TensorFlow TrainerDr. Nouar Dah is an experienced Lab Instructor at YPU. He has experience has a software engineer and senior hardware engineer. He has a PhD in Mechatronics Engineering from IIUM. He is well-versed in microcontrollers, FPGA, Matlab and VHDL.

Machine Learning TrainerAmir Othman is a software engineer by profession. Being educated in Bauhaus Universität Weimar and Hochschule Ulm, he brings experiences from different facades of the world.

With expertise in web technology, natural language processing and machine learning, he is a freelance data scientist. Some of his works include two international news aggregator and

He also holds an impressive port folio for data visualizations, primarily focusing on web based techniques.

Customer Reviews (1)

Will RecommendReview by Gopinath A/L Muruti
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Nil (Posted on 4/2/2018)

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