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Gemini CLI: Code & Create with an Open-Source Agent

This repository contains resources for the DeepLearning.AI short course on Gemini CLI.

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Course Overview

The course teaches Gemini CLI best practices with practical examples:

  • Conference planning: research & design (Lessons 3-6)
  • Conference planning: implementation (Lessons 7-9)
  • Bonus use case: Studying course materials (Lesson 10)

Course Structure

  • Lesson 1: Introduction
  • Lesson 2: What is Gemini CLI?
  • Lesson 3: A Tour of Gemini CLI
  • Lesson 4: Context is Key: GEMINI.md
  • Lesson 5: Workflows with Model Context Protocol (MCP)
  • Lesson 6: Customization with Gemini CLI Extensions
  • Lesson 7: Gemini CLI for Software Development
  • Lesson 8: Gemini CLI for Data Analysis
  • Lesson 9: Gemini CLI for Content Creation
  • Lesson 10: Gemini CLI for Learning
  • Lesson 11: Conclusion

Structure

  • starter_files/Initial starter files as they would exist at the start of the course, before any changes have been made.
  • final_files/ - Completed final files as they would exist at the end of the course, after all changes have been made.
  • prompts/ - Prompt templates and files from each lesson, plus bonus tips and commands.
  • materials/ - Additional materials such as Google Docs, Google Sheets, and Canva resources used in the course.

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Code, prompts, and resources for Gemini CLI: Code & Create with an Open-Source Agent

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