Colab is a Notebook Environment that runs entirely on the cloud. Avoid the hassles of installing Python on your system and directly run your Python programs in a Web Browser.
In this course, learn how to harness the full potential of Colab for Python programming and AI workflows. Begin with the basics, creating your first notebook and exploring Colab’s powerful features. Discover how to leverage TPU and GPU runtimes for accelerated computation. Customize your environment with settings like line numbers, dark theme, and font adjustments. Master importing and exporting notebooks, and run essential libraries such as NumPy, Pandas, and Matplotlib seamlessly.
Share your work effortlessly on Google Drive and GitHub, while diving deeper into cell operations and notebook management. Explore advanced integrations with Hugging Face for sentiment analysis, text classification, summarization, translation, and even text-to-image or video synthesis.
Finally, step into cutting-edge AI with LangChain and Retrieval-Augmented Generation (RAG) implementations; all within Colab’s collaborative ecosystem.
Let’s start the journey.
Course Lessons:
Section 1: Google Colab Introduction
- Google Colab Introduction & Features
Section 2: Google Colab – Setup and run the first Python Program
- Create the first Notebook on Colab
Section 3: Colab Runtime Type – TPU and GPU
- Understanding TPU and GPU
Section 4: Colab – Settings
- Show Line numbers on Colab Notebook
- Enable Dark Theme on Colab
- Increase the font size on Colab Notebook
Section 5: Colab – Import and Export
- Download Python Notebook (.ipynb) from Colab
- Import a Python Notebook into Colab
Section 6: Colab – Run NumPy, Pandas & Matplotlib
- Run the Pandas program on Colab
- Run the NumPy program on Colab
- Run the Matplotlib program on Colab
Section 7: Colab – Share Notebook to Google Drive & GitHub
- Share Colab Notebook on Drive
- Share Colab Notebook on GitHub
Section 8: Colab – Working on Cells
- Deep Dive into Cells (Text + Code)
- Perform Find and Replace on a Notebook
Section 9: Open Notebook from GitHub and Google Drive
- Open Colab Notebook from Google Drive
- Open Colab Notebook from GitHub
Section 10: Hugging Face on Colab
- Hugging Face – Intro and Features
- Sentiment Analysis using Hugging Face in Google Colab
- Text Classification using Hugging Face in Google Colab
- Text Summarizations using Hugging Face in Google Colab
- Text to Text (Translate) using Hugging Face in Google Colab
- Question Answering using Hugging Face in Google Colab
- Text to Image using Hugging Face in Google Colab
- Text to Video Synthesis using Hugging Face in Google Colab
Section 11: LangChain with RAG on Google Colab
- LangChain with RAG Example and Implementation in Google Colab
