Quick Guide & Tips

💻   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.

💻   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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DeepLearning.AI
Short CourseIntermediate

Building Coding Agents with Tool Execution

Instructors: Tereza Tizkova, Francesco Zuppichini

E2B logo
  • Intermediate
  • 9 Video Lessons
  • 5 Code Examples
  • Instructors: Tereza Tizkova, Francesco Zuppichini
    • E2B
    E2B

What you'll learn

  • Build coding agents that write and execute Python code, manage files, and handle errors through iterative feedback loops.

  • Run agent code safely in isolated E2B cloud sandboxes and understand the tradeoffs between local, containerized, and cloud execution environments.

  • Create specialized agents: a data analyst that explores datasets and visualizes insights, and a full-stack agent that builds complete web applications.

About this course

Join our new short course, Building Coding Agents with Tool Execution! Learn from Tereza Tizkova, Growth, and Francesco Zuppichini, Machine Learning Engineer at E2B.

In this course, you’ll build agents that write and execute code to accomplish tasks, going far beyond predefined function calls. Instead of limiting your agent to a fixed set of tools, you’ll let it access Python’s entire ecosystem, and write multi-step code sequences. Plus, you’ll learn to run this generated code safely in sandboxed cloud environments, protecting your systems from potentially harmful operations.

In detail, you’ll:

  • Understand coding agents and build your first one – Learn what makes coding agents different from other AI agents, then build an agent that executes Python code, manages files, and handles errors through feedback loops.
  • Choose and configure safe execution environments – Compare local execution, containers, and sandboxed microVMs, then run your agent’s code in secure E2B cloud environments with built-in isolation and resource controls.
  • Build a data analyst agent – Create an agent that explores CSV datasets, generates summaries and visualizations with Pandas, and answers questions through a Gradio chat interface.
  • Deploy a full-stack coding agent – Build an agent that edits multiple files and generates complete Next.js web applications in a sandbox, while managing long contexts through runtime summarization.

Start building agents that can code their way through complex tasks safely and efficiently.

Who should join?

AI builders familiar with Python and LLMs who want to build agents that can write and execute code. Basic understanding of AI agents is helpful but not required.

Course Outline

9 Lessons・5 Code Examples

Instructors

Tereza Tizkova

Tereza Tizkova

Francesco Zuppichini

Francesco Zuppichini

Machine Learning Engineer at E2B

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

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