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.

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. 👇

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Welcome back!

Hi ,

We'd like to know you better so we can create more relevant courses. What do you do for work?

DeepLearning.AI
Short CourseIntermediate1 hour 50 mins

Claude Code: A Highly Agentic Coding Assistant

Instructor: Elie Schoppik

Anthropic logo
  • Intermediate
  • 1 hour 50 mins
  • 10 Video Lessons
  • Instructor: Elie Schoppik
    • Anthropic
    Anthropic

What you'll learn

  • Use Claude code to explore, develop, test, refactor, and debug codebases.

  • Extend the capabilities of Claude Code with MCP servers such as Playwright and Figma MCP servers.

  • Apply Claude Code best practices to three projects: exploring and developing the codebase of a RAG chatbot, refactoring a Jupyter notebook for e-commerce data and transforming it into a dashboard, and building a web app from a Figma mockup.

About this course

Learn the best practices for agentic coding with Claude Code in this new short course, Claude Code: A Highly Agentic Coding Assistant, built in partnership with Anthropic, and taught by Elie Schoppik, Head of Technical Education.

AI coding assistants have evolved rapidly, from tools that help with occasional coding questions and code completion to tools that can autonomously generate code. Claude Code pushed the degree of autonomy by acting as a highly agentic assistant that can plan, execute, and improve code with minimal human input, for more than a few minutes. You and your teammates can now run multiple instances of Claude code and work in parallel on different parts of the codebase. However, coordinating all this involves a set of best practices that can significantly boost your productivity.

In this course, you’ll learn best practices for using Claude Code to improve your coding workflow. You’ll learn key tips on how to provide Claude Code with clear context, such as specifying the relevant files, clearly defining the features and functionality, and connecting Claude Code to MCP servers.

You’ll apply these best practices to three examples: exploring a RAG chatbot codebase, analyzing ecommerce data in a Jupyter notebook, and creating a web app based on a Figma mockup.

In detail, using Claude Code, you’ll:

  • Understand the underlying architecture of Claude Code, the tools it uses to navigate your codebase, and how it stores memory across sessions.
  • Explore and understand the codebase of a RAG chatbot and how information flows between the frontend and the backend.
  • Initiate a CLAUDE.md file inside your project directory containing information and guidelines about your codebase that Claude Code can remember across sessions.
  • Get context into Claude Code by mentioning the relevant files and providing screenshots or images, and control the context using escape, clear, and compact commands.
  • Add features to the frontend and backend of the RAG chatbot: ask Claude Code to plan first to improve its performance, use thinking mode for harder tasks, and brainstorm ideas using Claude Code’s subagents.
  • Write tests to evaluate the RAG chatbot functionalities, and refactor parts of the chatbot.
  • Use git worktrees to run multiple Claude sessions simultaneously, each focused on adding an independent feature to the chatbot.
  • Fix Github issues, and create, review and merge Github pull requests using Claude Code’s Github integration.
  • Execute code before and after using tools through Claude Code hooks.
  • Refactor a Jupyter notebook for e-commerce data analysis and transform it into a dashboard.
  • Connect Claude to the Figma MCP server to import a design mockup to Claude Code, and develop a web interface showing economic data from the Federal Reserve Economic Data.
  • Use Playwright MCP server to automatically open a web browser, take screenshots, and guide Claude Code to improve the UI design of an application.

By the end of this course, you’ll have a set of best practices you can apply to speed up and improve your coding workflow.

Who should join?

This course is ideal for anyone who wants to explore how AI coding assistant tools like Claude Code can enhance their development process. Whether you’re building applications, debugging code, or exploring unfamiliar codebases, you’ll gain practical skills to work more efficiently with AI-assisted workflows. You can make the best of the course if you’re familiar with Python and Git.

Course Outline

10 Lessons・0 Code Examples

  • Introduction

    Video・4 mins

  • What is Claude Code?

    Video・8 mins

  • Course Notes

    Reading・1 min

  • Setup & Codebase Understanding

    Video・14 mins

  • Adding Features

    Video・17 mins

  • Testing, Error Debugging and Code Refactoring

    Video・12 mins

  • Adding Multiple Features Simultaneously

    Video・11 mins

  • Exploring Github Integration & Hooks

    Video・10 mins

  • Refactoring a Jupyter Notebook & Creating a Dashboard

    Video・12 mins

  • Creating Web App based on a Figma Mockup

    Video・9 mins

  • Conclusion

    Video・1 min

  • Quiz

    Graded・Quiz

    ・7 mins

  • Prompts & Summaries of Lessons

    Reading・10 mins

Instructor

Elie Schoppik

Elie Schoppik

Course access is free for a limited time during the DeepLearning.AI learning platform beta!

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