Think of Google Colab as your AI-powered lab notebook — one that runs code, saves progress in the cloud, and never complains about package conflicts.
In these instructor-led courses, participants explore Colab’s full potential: building ML models, visualizing data, sharing notebooks, and collaborating across teams.
You can join an online live training session via interactive remote desktop, or meet us onsite in Berlin, where hands-on labs dive straight into real-world Python workflows.
Onsite live training can happen right at your organization’s location in Berlin, or in a NobleProg training center, with practical projects designed for both individual developers and cross-functional teams.
Also known as Google Colaboratory or simply “Colab”, this training is perfect for anyone who wants the power of Python, Jupyter, and cloud computing — without the setup headache.
Our training facilities are located at Brückenstr. 4 in Berlin. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Berlin, within walking distance of the Jannowitzbrücke station.
Directions
The NobleProg training facilities are located in the heart of Berlin's Mitte district, just one underground station from Alexanderplatz, one of the centres of this vibrant city. By public transport you can reach us either by underground line U8 to Jannowitzbrücke station, followed by about 100 meters on foot.
Parking
Cars can be parked in the area along Brückenstr. and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rosenthaler Platz there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
Our training facilities are located at Dianastrasse 46 in Potsdam-Babelsberg.
Our spacious training rooms are located directly opposite the Filmstudios Babelsberg and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Medienstadt Babelsberg railway station,
and the A115 motorway is also easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
Potsdam offers numerous hotels and restaurants and is easily accessible thanks to its well-developed public transport system.
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.
Access GPUs and TPUs for accelerated computation.
Streamline machine learning workflows using popular libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Integrate with Google Drive and external data sources for collaborative projects.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
By the end of this training, participants will be able to:
This instructor-led, live training in Berlin (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.
By the end of this training, participants will be able to:
This instructor-led, live training in Berlin (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.
By the end of this training, participants will be able to:
This instructor-led, live training in Berlin (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.
By the end of this training, participants will be able to:
This instructor-led, live training in Berlin (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.
By the end of this training, participants will be able to:
This instructor-led, live training in Berlin (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.
By the end of this training, participants will be able to:
This instructor-led, live training in Berlin (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.
By the end of this training, participants will be able to:
This instructor-led, live training in Berlin (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.
By the end of this training, participants will be able to:
This instructor-led, live training in Berlin (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.
By the end of this training, participants will be able to:
This instructor-led, live training in Berlin (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.
By the end of this training, participants will be able to:
This instructor-led, live training in Berlin (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.
By the end of this training, participants will be able to:
This instructor-led, live training in Berlin (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.
By the end of this training, participants will be able to:
This instructor-led, live training in Berlin (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.
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