Deep Learning Fundamentals

Dates: 4 Dec, 5 Dec 2023 | 9am-5.30pm | Online

Duration: 2 Days

Course Overview

Deep learning is the most important breakthrough in the history of Artificial Intelligence (AI). We easily can divide the history of AI into before and after deep learning eras. Apart from its technical value, Deep Learning (DL) has facilitated many new applications for AI and machine learning. Thanks to deep learning, we can implement high-performance and robust intelligent systems in daily life, the health sector, prediction, surveillance, decision making, and business analytics. DL also allows us to handle semi-structured and unstructured data efficiently. Therefore, it can effectively be used in customers opinion mining, chatbot design, and social media analytics. In this course we are going to introduce deep learning and its applications, then focus on the design and development of deep convolutional neural network models mostly for natural language processing, sentiment analysis, and opinion mining based on a few hands-on that will be carried out by learners.

This course is part of Professional Certificate in Text Processing.

Course Objectives

At the completion of the course, the participants will be able to:

  • Acquire basic knowledge of deep neural networks and how they work
  • Understand the applications of deep learning
  • Use popular software tools and applications for deep learning implementation
  • Acquire basic skills on how to design and implement text classification and opinion mining systems using deep learning
  • Acquire basic skills on how to implement convolutional neural networks in Python using Tensorflow and Keras packages

Who Should Attend

ICT executives, managers, engineers and analysts.


  • Basic AI and Machine Learning knowledge
  • Basic Python programming skills (Click to view the course detail of Python Programming)

Course Convener 

(Click photo to view biography)

ddddd Ai Xin

Dr Ai XinDr Ai Xin

What Our Participants Say

“Dr Ai Xin provides a very clear explanation on how the ML algorithms of different neural networks work under the hood, with straightforward and relatable examples and calculations that are accessible to students without much coding and computing background.”
– Tan Zhi Han

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email

To register, click Register

Course Codes
TGS-2022012786 (Classroom Learning)
TGS-2022012789 (Synchronous e-learning)

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

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