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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🙂   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 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 CourseBeginner

Governing AI Agents

Instructor: Amber Roberts

Databricks logo
  • Beginner
  • 9 Video Lessons
  • Instructor: Amber Roberts
    • Databricks
    Databricks

What you'll learn

  • Explore the four pillars of agent governance: lifecycle management, risk management, security, and observability.

  • Apply governance to a data analysis agent: restrict the agent’s access to sensitive data and grant it access to only the data it needs.

  • Add observability to track the agent’s inputs, outputs, and decisions to ensure transparency and enable debugging.

About this course

Introducing Governing AI Agents, a short course built in collaboration with Databricks and taught by Amber Roberts.

As AI agents autonomously access larger and more sensitive data, governance becomes essential. Without proper controls, an agent can accidentally expose personal information, modify sensitive records, or operate beyond its intended scope. As a developer, you need to design agents that are not only capable but also safe, compliant, and observable in production.

In this course, you’ll learn how to integrate governance into every stage of your agent’s lifecycle, from defining access control to monitoring runtime behavior.

Explore what it means to govern an agent, how to apply governance policies to a real dataset in Databricks, and how to add observability to track and debug performance. Through this course, you’ll know how to build agents that handle data responsibly while maintaining visibility, and safety.

Skills you will build:

  • Apply the four pillars of agent governance (lifecycle management, risk management, security, and observability) to build safer, production-ready agents.
  • Use Unity Catalog, Databricks’ centralized governance layer, to organize data, manage permissions, and enforce least-privilege data access for your agents.
  • Manage data permissions for Databricks identities and assign your agent an identity with appropriate access.
  • Apply governance to an agent analyzing an HR dataset: create anonymized views, mask personal information, and build tools that provide only the data needed.
  • Build, evaluate, and prepare your agent for production using MLflow to log, version, and deploy it with proper governance.
  • Deploy your governed agent with a secure, traceable endpoint in Databricks.

By applying these governance practices to your own agents, you’ll build observable systems that handle data securely!

Who should join?

Any AI Builder who wants to ensure their agents handle data safely and transparently. Basic familiarity with Python is recommended to make the most of this course.

Course Outline

9 Lessons・0 Code Examples

  • Introduction

    Video・3 mins

  • What is AI Agent Governance?

    Video・6 mins

  • Establishing Governance in Catalogs

    Video・5 mins

  • Adding Identity to an Agent

    Video・4 mins

  • Links & Resources

    Reading・1 min

  • Lab 1: Building the Governance Foundation

    Video・22 mins

  • Building, Evaluating & Deploying Agents

    Video・8 mins

  • Lab 2: Building the HR Analytics Agent

    Video・8 mins

  • Lab 3: Evaluating and Deploying the HR Analytics Agent

    Video・15 mins

  • Conclusion

    Video・3 mins

  • Quiz

    Graded・Quiz

    ・10 mins

Instructor

Amber Roberts

Amber Roberts

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

Want to learn more about Generative AI?

Keep learning with updates on curated AI news, courses, and events, as well as Andrew’s thoughts from DeepLearning.AI!