Beijing - Parkview Green

QiaoFu FangCaoDi , No. 9 Dongdaqiao Road, Chaoyang District, Beijing, China

Located on the west side of Dongdaqiao Road, Chaoyang District, Beijing, close to the core area of ​​Beijing CBD, with a total area of ​​200,000 square meters, it is an innovative building integrating top office buildings, fashion shopping centers, art centers and boutique hotels. Based on the rich international atmosphere and advantageous location of Fangcao Parkview Green is committed to creating a diverse business and cultural leisure complex that has become a new composite lifestyle in Beijing style and high quality. Its leading environmental design, sustainable development concept and rich and diverse artistic atmosphere constitute the unique features of Parkview Green, which brings a unique and unique experience to every visitor.

Beijing - Creative building

6/F, 15# Wanquanzhuang Str. Haidian district 6/F, Beijing, China, 100000

Creative building is located the centre of Haidian distrect. There is a direct bus to Zhong guancun and Yuanmingyuan Park. There are shoppingmalls, hosiptal and Schools. 10-15 mins from subway. We have independent office for 2 or 10 persons, and also public areas, meeting rooms ect.

New Oriental Plaza

Haidian Zhong Jie No.6, Beijing, China, 100080

New Oriental Plaza locates in the core of Zhong Guan Cun area in Beijing. The place is stationed many major educational organizations.

Beijing - Chaoyang Guomao III

15/F, 15/F China World Trade Center Tower 3, 1 Jianguomenwai Avenue, Beijing, China, 100004

The Beijing China World Trade Centre (CWTC) is in one of the most prestigious buildings in Beijing, in the middle of the central business area. Situated in CWTC Tower III, this ultra tall landmark building has 74 floors. Most of the building is taken up with offices but there is also a five-star hotel on the upper floors and retail units on the lower floors. The central business district, which is a hub for both business and culture, is home to several multinational companies working in finance, insurance, trade, telecoms and IT. Situated on the 15th floor, there are excellent views over the city from some of the centre's offices. The building's location beside East Changan Avenue is convenient for access to Tiananmen Square's government offices and to the Forbidden City, the historical home of China's emperors which is now a World Heritage Site.

Beijing Pacific Century Place

gong ren ti yu chang Bei street 2#, Beijing, China, 100027

Pacific Century Center is located in the central business district of prime locations, is favored by the major business of the popular business address. The Regus office is located on the 14th floor of this high-rise building and some rooms have views of the capital. This is an important international financial center, where many well-known domestic companies and multinational companies in information technology, consulting, telecommunications and services are located in this central business district. There are many foreign embassies nearby. You can reach museums, concert halls and theaters from the Pacific Century Center. Sanlitun bar a street is also close.

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

 14 Hours

Google Colab Pro is a cloud-based environment for scalable Python development, offering high-performance GPUs, longer runtimes, and more memory for demanding AI and data science workloads.

This instructor-led, live training (online or onsite) is aimed at intermediate-level Python users who wish to use Google Colab Pro for machine learning, data processing, and collaborative research in a powerful notebook interface.

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

  • Set up and manage cloud-based Python notebooks using Colab Pro.
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AI for Healthcare using Google Colab

 14 Hours

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

This instructor-led, live training in Beijing (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.

  • 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

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

This instructor-led, live training in Beijing (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.

  • 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

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

This instructor-led, live training in Beijing (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.

  • 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

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

This instructor-led, live training in Beijing (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.

  • 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

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

This instructor-led, live training in Beijing (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.

  • 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

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

This instructor-led, live training in Beijing (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.

  • 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

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

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

  • 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

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

This instructor-led, live training in Beijing (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.

  • 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

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

This instructor-led, live training in Beijing (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.

  • 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

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

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

  • 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

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

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

  • 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

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

This instructor-led, live training in Beijing (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.

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

Deep Learning with TensorFlow in Google Colab

2025-08-05 09:30
14 hours
Beijing Pacific Century Place

Natural Language Processing (NLP) with Google Colab

2025-08-19 09:30
14 hours
Beijing - Parkview Green

Advanced Machine Learning Models with Google Colab

2025-09-02 09:30
21 hours
Beijing - Creative building

Natural Language Processing (NLP) with Google Colab

2025-09-16 09:30
14 hours
New Oriental Plaza

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

2025-09-30 09:30
14 hours
Beijing - Chaoyang Guomao III

Data Visualization with Google Colab

2025-10-14 09:30
14 hours
Beijing Pacific Century Place

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