Regard Google Colab as your AI-enabled laboratory notebook—a platform that executes code, retains progress in the cloud, and eliminates issues with package dependencies.
In these instructor-led sessions, attendees will uncover the full scope of Colab’s capabilities, including constructing ML models, creating data visualizations, distributing notebooks, and facilitating team-based collaboration.
You may participate in a live online training session through an interactive remote desktop, or join us for onsite workshops in Prague, where practical labs focus on real-world Python workflows.
In-person training can be conducted at your organization’s site in Prague or within a NobleProg training center, featuring practical projects tailored for both individual developers and multidisciplinary teams.
Recognized as Google Colaboratory or simply “Colab,” this course is ideal for those seeking the benefits of Python, Jupyter, and cloud computing—without the complexity of environment setup.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This live, instructor-led training in Prague focuses on the essential principles and practical techniques of Google Colab Pro. It empowers learners to develop hands-on capabilities in scalable Python and AI workflows, skills that are immediately applicable to professional environments and contemporary business objectives.
This instructor-led live training, available online or on-site, is designed for intermediate-level data scientists and healthcare professionals seeking to harness AI for advanced healthcare applications using Google Colab.
By the conclusion of this training, participants will be able to:
Deploy AI models for healthcare using Google Colab.
Apply AI for predictive modeling in healthcare data.
Analyze medical images with AI-driven techniques.
Examine ethical considerations in AI-based healthcare solutions.
This instructor-led live training in Prague (online or onsite) targets intermediate-level data scientists and engineers who wish to employ 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.
This instructor-led live training in Prague (online or onsite) is designed for intermediate-level data professionals who want 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 basics 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.
This instructor-led, live training in Prague (online or on-site) is tailored for advanced professionals aiming to deepen their understanding of reinforcement learning and its practical applications in AI development using Google Colab.
Upon completion of this training, participants will be able to:
Grasp the fundamental concepts behind reinforcement learning algorithms.
Build reinforcement learning models using TensorFlow and OpenAI Gym.
Create intelligent agents that learn via trial and error.
Enhance agent performance through advanced techniques like Q-learning and deep Q-networks (DQNs).
Train agents within simulated environments provided by OpenAI Gym.
Deploy reinforcement learning models for real-world use cases.
This instructor-led, live training in Prague (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.
This instructor-led, live training in Prague (online or onsite) targets advanced professionals aiming to deepen their understanding of machine learning models, refine their hyperparameter tuning skills, and master effective model deployment via Google Colab.
Upon completion of this training, participants will be able to:
Build advanced machine learning models using widely adopted frameworks such as Scikit-learn and TensorFlow.
Enhance model performance through systematic hyperparameter tuning.
Deploy machine learning models into real-world applications utilizing Google Colab.
Collaborate on and manage large-scale machine learning projects within Google Colab.
This instructor-led, live training in Prague (online or on-site) is designed for intermediate-level data scientists and developers who wish to apply NLP techniques using Python in Google Colab.
Upon completion of this training, participants will be able to:
Comprehend the fundamental concepts of natural language processing.
Preprocess and clean text data specifically for NLP applications.
Conduct sentiment analysis utilizing NLTK and SpaCy libraries.
Manage text data in Google Colab to facilitate scalable and collaborative development workflows.
This instructor-led, live training in Prague (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.
This instructor-led, live training in Prague (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.
This instructor-led, live training in Prague (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.
This instructor-led, live training in Prague (online or on-site) targets beginner-level developers and data analysts interested in learning Python programming from scratch via Google Colab.
By the conclusion of this training, participants will be able to:
Understand the foundational concepts of the Python programming language.
Implement Python code within the Google Colab environment.
Employ control structures to direct the flow of a Python program.
Build functions to organize and reuse code effectively.
Explore and apply essential libraries for Python programming.
This instructor-led, live training session in Prague (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:
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