Quick Guide & Tips

đŸ’»   Accessing Utils File and Helper Functions

In each notebook on the top menu:

1:   Click on "File"

2:   Then, click on "Open"

You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above.

🔄   Reset User Workspace

If you need to reset your workspace to its original state, follow these quick steps:

1:   Access the Menu: Look for the three-dot menu (⋼) in the top-right corner of the notebook toolbar.

2:   Restore Original Version: Click on "Restore Original Version" from the dropdown menu.

For more detailed instructions, please visit our Reset Workspace Guide.

đŸ’»   Downloading Notebooks

In each notebook on the top menu:

1:   Click on "File"

2:   Then, click on "Download as"

3:   Then, click on "Notebook (.ipynb)"

đŸ’»   Uploading Your Files

After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files.

📗   See Your Progress

Once you enroll in this course—or any other short course on the DeepLearning.AI platform—and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one.

Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view).

đŸ“±   Features to Use

🎞   Adjust Video Speed: Click on the gear icon (⚙) on the video and then from the Speed option, choose your desired video speed.

🗣   Captions (English and Spanish): Click on the gear icon (⚙) on the video and then from the Captions option, choose to see the captions either in English or Spanish.

🔅   Video Quality: If you do not have access to high-speed internet, click on the gear icon (⚙) on the video and then from Quality, choose the quality that works the best for your Internet speed.

đŸ–„   Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode.

√   Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again.

🧑   Efficient Learning Tips

The following tips can help you have an efficient learning experience with this short course and other courses.

🧑   Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency.

📅   Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention.

Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals.

☕   Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective.

💬   Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable.

✍   Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects.

📚   Enroll in Other Short Courses

Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. 👇

👉👉 🔗 DeepLearning.AI – All Short Courses [+]

🙂   Let Us Know What You Think

Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view).

Also, you are more than welcome to join our community 👉👉 🔗 DeepLearning.AI Forum

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DeepLearning.AI
Short CourseBeginner

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

Instructor: Jack Wotherspoon

Gemini CLI logo
  • Beginner
  • 11 Video Lessons
  • Instructor: Jack Wotherspoon
    • Gemini CLI
    Gemini CLI

What you'll learn

  • Use Gemini CLI’s agent with Model Context Protocol (MCP) and extensions to coordinate local files with cloud services like Google Workspace and Canva for multi-tool workflows.

  • Automate software development tasks, including building website features, creating data dashboards, and setting up code review workflows with GitHub Actions.

  • Apply Gemini CLI to tasks beyond code like generating social media content from multimedia files and organizing study materials for learning.

About this course

Join this short course on Gemini CLI, taught by Jack Wotherspoon, Developer Advocate at Google.

Gemini CLI is an open-source agentic coding assistant that works from your terminal, giving it access to your local filesystem, development tools, and cloud services. This lets you delegate complex workflows—from building web features to creating marketing materials—through high-level instructions while the agent autonomously plans and executes multiple steps.

In this course, you’ll apply Gemini CLI to software development and creative tasks by building features for an AI conference. You’ll develop a website session catalog, create a data dashboard combining local and cloud data sources, and generate social media content from recordings. You’ll master context management, integrate MCP servers, and orchestrate across multiple services with Gemini CLI extensions.

In detail, you’ll:

  • Install Gemini CLI, explore its open-source architecture, and learn how it reasons through tasks, calls tools, and leverages the command line to power complex workflows.
  • Automate coding workflows with GitHub Actions for pull request reviews and apply Gemini CLI to creative tasks like generating social media content from conference recordings and organizing multimedia study materials.
  • Manage the context window with gemini.md files and extend capabilities by connecting Model Context Protocol (MCP) servers and Gemini CLI extensions to orchestrate across local files, cloud databases, and services like GitHub, Canva and Google Workspace.
  • Build complete software features including a conference session catalog and an interactive data dashboard that combines local CSV files with cloud data sources—experiencing the full development workflow from research to testing.
  • Use Gemini CLI as a learning tool by organizing course materials on your filesystem and grounding responses with web search for accurate, cited information.

Whether you’re prototyping applications, automating development workflows, or studying topics in agentic AI, this course gives you hands-on experience coordinating multiple tools to build faster and work more efficiently.

Who should join?

Anyone looking to speed up development and knowledge work with AI assistance. Basic familiarity with using the command line and Python is helpful.

Course Outline

11 Lessons・0 Code Examples

Instructor

Jack Wotherspoon

Jack Wotherspoon

Senior Developer Advocate at Google

Additional learning features, such as quizzes and projects, are included with DeepLearning.AI Pro. Explore it today

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