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💻   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.


💻   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)"


💻   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).


📱   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.

🖥   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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Welcome to Build Apps with Windsurf AI Coding Agents, built in partnership with Windsurf and taught by Anshul Ramachandran. Windsurf is a collaborative agentic IDE that provides a workspace where you can work with an AI agent. In this course, you'll learn how to use Windsurf to build several cool applications and also peer under the hood to deeply understand how a coding agent is built on top of large language models. I know many people are using AI in their coding workflow, say for autocomplete as a basic feature, but many users even at AI as a coding, are not yet using AI anywhere near to the full extent of what's possible. This course will make you highly skilled in today's cutting-edge best practices, and I hope will transform how you code. The instructor, Anshul Ramachandran, is a founding team member of Windsurf and a world expert in AI coding agents. Welcome. Thanks, Andrew. Windsurf makes coding with AI more fun and a lot easier. There is a wide spectrum of AI coding tools available to developers. On one end, there are simple coding assist tools that generally make a single call to a large language model. On the other end, there are autonomous agents that aim to fully automate the coding experience. We would built windsurf to serve as a collaborative agent that bridges the gap between simple coding assistants and fully autonomous agents. I always feel that when I know how a tool is built, I make a much better and more powerful use of it. That is what makes me especially excited about this course. You will learn what goes on under the hood of an agentic AI tool like Windsurf, all while using it to build games, fix unit tests, update large repositories and build an entire Wikipedia topic analysis app from scratch. A major difference between different AI coding tools is how they use LLMs in their flow to plan and execute actions. Having a coding agent that is effective at maintaining context of the code base and track what you, the developer does and then calls the right tools is what gives it the feel of a good, peer program working alongside you. One of the main factors that make Windsurf a successful AI coding agents its robust search and discovery capabilities that lets it take multiple steps to scan multiple files and even search online for documentation, then identify the most relevant code or docs for a task, and then come over a sequence of code editor to execute the program as intended. This is much more context in the typical RAG pipeline, and Anshul will be going over all of these details. Many people have worked to create this course. I'd like to thank the whole Windsurf team and from DeepLearning.AI, Esmaeil Gargari and Geoff Ladwig also contributed to this course. This course is going to be a lot of fun. I think so. Let's go on to the next video to get started.
course detail
Next Lesson
Build Apps with Windsurf’s AI Coding Agents
  • Introduction
    Video
    ・
    2 mins
  • Getting Started & First App
    Video
    ・
    5 mins
  • AI Code Assistants 101
    Video
    ・
    6 mins
  • Fixing Tests Automatically
    Video
    ・
    3 mins
  • How a Collaborative AI Code Agent Works
    Video
    ・
    9 mins
  • Search & Discovery for AI Agents
    Video
    ・
    9 mins
  • Understanding Large Codebases
    Video
    ・
    4 mins
  • Wikipedia Analysis App – Data Analysis
    Video
    ・
    8 mins
  • Wikipedia Analysis App – Caching
    Video
    ・
    4 mins
  • Wikipedia Analysis App – Fullstack App
    Video
    ・
    10 mins
  • Wikipedia Analysis App – Polish
    Video
    ・
    5 mins
  • Conclusion
    Video
    ・
    1 min
  • Appendix – Prompts and Repos
    Code Example
    ・
    10 mins
  • Course Feedback
  • Community