Lilly Tech Systems
Learn Google Colab
Master Google Colaboratory — the free, cloud-based Jupyter notebook environment with GPU and TPU access. Write, run, and share Python code directly from your browser with zero setup required.
What You'll Learn
By the end of this course, you'll be confident using Google Colab for data science and machine learning workflows.
Cloud Notebooks
Run Jupyter notebooks in the cloud with zero setup. No installation, no configuration — just open your browser and start coding.
Free GPU & TPU
Access NVIDIA GPUs (T4, A100, V100) and Google TPUs for free to train machine learning models at scale.
Data Integration
Mount Google Drive, import Kaggle datasets, connect to BigQuery, and work with data from any source seamlessly.
Collaboration
Share notebooks like Google Docs. Real-time collaboration, version history, and easy publishing for teams.
Course Lessons
Follow the lessons in order or jump to any topic you need.
1. Introduction
What is Google Colab? Free cloud Jupyter notebooks by Google with GPU/TPU access. Colab vs Jupyter vs Kaggle comparison.
2. Getting Started
Access Colab, explore the interface, create your first notebook, run code cells, and learn essential keyboard shortcuts.
3. Notebooks
Master code and text cells, magic commands, package installation, Google Drive mounting, sharing, and collaboration.
4. GPU & TPU
Enable GPU/TPU acceleration, check hardware with nvidia-smi, and train PyTorch and TensorFlow models on free GPUs.
5. Data & Files
Upload files, mount Google Drive, read from URLs, integrate Kaggle datasets, and manage data persistence.
6. Best Practices
Session management, memory optimization, avoiding disconnections, collaboration tips, and free tier strategies.
Prerequisites
What you need before starting this course.
- A Google account (free)
- Basic Python knowledge (helpful but not required)
- A web browser (Chrome recommended)
- No software installation needed