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Generative AI Certification Course - Overview

Welcome to the Generative AI Certification Course repository! This repository is organized by weeks, with each week focusing on different aspects of Generative AI. The content is presented and created by Vansh Sood.

Course Structure

The course is divided into four weeks, each containing specific materials, including Jupyter notebooks, resources, and instructions. As you progress through the course, you'll find the content for each week updated in its respective folder.

Weekly Breakdown:

  • Week 1: Introduction to Generative AI
    • Overview of large language models, the Transformer architecture, and hands-on work with Hugging Face.
    • Folder: week_1
    • Files:
      • README.md: Overview and instructions for Week 1.
      • Lab1_GenAI_ShiftKey.ipynb: Jupyter notebook for the hands-on lab.
      • RESOURCES.md: Additional resources for Week 1.
  • Week 2: Prompt Engineering
    • Learn how to refine and optimize prompts to improve model outputs.
    • Folder: week_2
    • Files: To be added during Week 2.
  • Week 3: Fine-Tuning Models
    • Explore techniques for fine-tuning pre-trained models to better suit specific tasks.
    • Folder: week_3
    • Files: To be added during Week 3.
  • Week 4: Ethical Considerations and Advanced Techniques
    • Discuss ethical concerns in AI and explore advanced techniques for deploying AI models.
    • Folder: week_4
    • Files: To be added during Week 4.

Instructions for Forking or Cloning the Repository

Forking the Repository

  1. Navigate to the repository page.
  2. Click the "Fork" button in the top-right corner.
  3. This will create a copy of the repository under your GitHub account.

Cloning the Repository

  1. Open your terminal or command prompt.

  2. Use the following command to clone the repository to your local machine:

    git clone https://github.com/shiftkey-labs/GenAI-Course
  3. Navigate to the repository directory:

    cd GenAI-Course

Using the Colab Notebooks

All the hands-on labs are provided as Jupyter notebooks that can be run in Google Colab. Here’s how to use them:

  1. Navigate to the appropriate week folder (e.g., week_1) and locate the .ipynb file (e.g., Lab1_GenAI_ShitKey.ipynb).
  2. Open the notebook in Google Colab by following these steps:
    • Navigate to Google Colab at colab.research.google.com.
    • Click on File > Open Notebook.
    • Select the GitHub tab and enter your repository's URL.
    • Browse to the notebook file you want to open and click on it.
  3. Run each cell by clicking on the play button next to it.

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Base for the Generative AI certification course with resources and references for fine-tuning LLMs

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