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Frasers Tower

Level 17, 182 Cecil Street, Singapore 069547, Singapore, 069547

Frasers Tower is a 38-storey Grade A office development with a three-storey cascading retail podium strategically located at the gateway to the dynamic Central Business District.

Only U Space

10 Anson Rd, #31-06 International Plaza , Singapore 079903, Singapore, 079903

International Plaza is a 50-storey office cum residential complex situated in Singapore’s CBD. The construction was part of a grand redevelopment plan for the central area of Singapore.
NobleProg Training Place, City Signature Asia Square

Signature Asia Square

8 Marina View, #42-01 & #43-01 Asia Square Tower 1, Singapore , 018960

Easiest: MRT

The closest MRT station is Downtown (DT17) on the Downtown Line. It is about a 2–3 minute walk from Asia Square Tower 1.

  • Take the Downtown Line to Downtown MRT (DT17).
  • Use Exit G (the building's official site lists Exit G).
  • Walk toward Asia Square Tower 1 / 8 Marina View.
  • Enter Tower 1 and take the lift to Level 42 or 43

Other convenient stations:

  • Shenton Way (TE19) — about 2–5 min walk.
  • Marina Bay (NS27/CE2/TE20) — about 4–6 min walk.
  • Raffles Place (NS26/EW14) — about 6 min walk.

By bus

There are several nearby bus stops. The closest are around Downtown MRT / Central Boulevard and are about a 4-minute walk away. Services include 97, 106, 133, 502 and 646 at Central Blvd – Downtown Stn Exit E.

Another nearby stop is One Raffles Quay, served by buses including 10, 57, 70, 75, 100, 107, 130, 131, 162, 167, 186 and 196.

Explore Our Courses

Google Colab Pro: Scalable Python and AI Workflows in the Cloud

 14 Hours
This instructor-led, live training in Central covers the core concepts and hands-on fundamentals of Google Colab Pro, helping participants build practical skills in scalable Python and AI workflows that apply directly to real-world work environments and modern business needs.
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AI for Healthcare using Google Colab

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level data scientists and healthcare professionals who wish to leverage AI for advanced healthcare applications using Google Colab.

By the end of this training, participants will be able to:

  • Implement AI models for healthcare using Google Colab.
  • Use AI for predictive modeling in healthcare data.
  • Analyze medical images with AI-driven techniques.
  • Explore ethical considerations in AI-based healthcare solutions.
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Big Data Analytics with Google Colab and Apache Spark

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level data scientists and engineers who wish to use Google Colab and Apache Spark for big data processing and analytics.

By the end of this training, participants will be able to:

  • Set up a big data environment using Google Colab and Spark.
  • Process and analyze large datasets efficiently with Apache Spark.
  • Visualize big data in a collaborative environment.
  • Integrate Apache Spark with cloud-based tools.
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Time Series Analysis with Google Colab

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level data professionals who wish to apply time series forecasting techniques to real-world data using Google Colab.

By the end of this training, participants will be able to:

  • Understand the fundamentals of time series analysis.
  • Use Google Colab to work with time series data.
  • Apply ARIMA models to forecast data trends.
  • Utilize Facebook’s Prophet library for flexible forecasting.
  • Visualize time series data and forecasting results.
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Reinforcement Learning with Google Colab

 28 Hours

This instructor-led, live training in Central (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of reinforcement learning and its practical applications in AI development using Google Colab.

By the end of this training, participants will be able to:

  • Understand the core concepts of reinforcement learning algorithms.
  • Implement reinforcement learning models using TensorFlow and OpenAI Gym.
  • Develop intelligent agents that learn through trial and error.
  • Optimize agents' performance using advanced techniques such as Q-learning and deep Q-networks (DQNs).
  • Train agents in simulated environments using OpenAI Gym.
  • Deploy reinforcement learning models for real-world applications.
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Computer Vision with Google Colab and TensorFlow

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of computer vision and explore TensorFlow's capabilities for developing sophisticated vision models using Google Colab.

By the end of this training, participants will be able to:

  • Build and train convolutional neural networks (CNNs) using TensorFlow.
  • Leverage Google Colab for scalable and efficient cloud-based model development.
  • Implement image preprocessing techniques for computer vision tasks.
  • Deploy computer vision models for real-world applications.
  • Use transfer learning to enhance the performance of CNN models.
  • Visualize and interpret the results of image classification models.
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Advanced Machine Learning Models with Google Colab

 21 Hours

This instructor-led, live training in Central (online or onsite) is aimed at advanced-level professionals who wish to enhance their knowledge of machine learning models, improve their skills in hyperparameter tuning, and learn how to deploy models effectively using Google Colab.

By the end of this training, participants will be able to:

  • Implement advanced machine learning models using popular frameworks like Scikit-learn and TensorFlow.
  • Optimize model performance through hyperparameter tuning.
  • Deploy machine learning models in real-world applications using Google Colab.
  • Collaborate and manage large-scale machine learning projects in Google Colab.
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Natural Language Processing (NLP) with Google Colab

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level data scientists and developers who wish to apply NLP techniques using Python in Google Colab.

By the end of this training, participants will be able to:

  • Understand the core concepts of natural language processing.
  • Preprocess and clean text data for NLP tasks.
  • Perform sentiment analysis using NLTK and SpaCy libraries.
  • Work with text data using Google Colab for scalable and collaborative development.
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Deep Learning with TensorFlow in Google Colab

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level data scientists and developers who wish to understand and apply deep learning techniques using the Google Colab environment.

By the end of this training, participants will be able to:

  • Set up and navigate Google Colab for deep learning projects.
  • Understand the fundamentals of neural networks.
  • Implement deep learning models using TensorFlow.
  • Train and evaluate deep learning models.
  • Utilize advanced features of TensorFlow for deep learning.
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Machine Learning with Google Colab

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at intermediate-level data scientists and developers who wish to apply machine learning algorithms efficiently using the Google Colab environment.

By the end of this training, participants will be able to:

  • Set up and navigate Google Colab for machine learning projects.
  • Understand and apply various machine learning algorithms.
  • Use libraries like Scikit-learn to analyze and predict data.
  • Implement supervised and unsupervised learning models.
  • Optimize and evaluate machine learning models effectively.
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Data Visualization with Google Colab

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at beginner-level data scientists who wish to learn how to create meaningful and visually appealing data visualizations.

By the end of this training, participants will be able to:

  • Set up and navigate Google Colab for data visualization.
  • Create various types of plots using Matplotlib.
  • Utilize Seaborn for advanced visualization techniques.
  • Customize plots for better presentation and clarity.
  • Interpret and present data effectively using visual tools.
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Python Programming Fundamentals using Google Colab

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab.

By the end of this training, participants will be able to:

  • Understand the basics of Python programming language.
  • Implement Python code in Google Colab environment.
  • Utilize control structures to manage the flow of a Python program.
  • Create functions to organize and reuse code effectively.
  • Explore and use basic libraries for Python programming.
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Introduction to Google Colab for Data Science

 14 Hours

This instructor-led, live training in Central (online or onsite) is aimed at beginner-level data scientists and IT professionals who wish to learn the basics of data science using Google Colab.

By the end of this training, participants will be able to:

  • Set up and navigate Google Colab.
  • Write and execute basic Python code.
  • Import and handle datasets.
  • Create visualizations using Python libraries.
Read more...

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Upcoming Courses

Machine Learning with Google Colab

2026-11-16 09:30
14 hours
Signature Asia Square
4030 SGD (Online)
9484 SGD (Classroom)

Python Programming Fundamentals using Google Colab

2026-11-30 09:30
14 hours
Frasers Tower
4030 SGD (Online)
9484 SGD (Classroom)

Introduction to Google Colab for Data Science

2026-12-14 09:30
14 hours
Only U Space
4030 SGD (Online)
9484 SGD (Classroom)

Time Series Analysis with Google Colab

2026-12-28 09:30
21 hours
Signature Asia Square
6045 SGD (Online)
14226 SGD (Classroom)

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These courses are also available in other countries

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