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).

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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 CourseBeginner59 mins

Event-Driven Agentic Document Workflows

Instructor: Laurie Voss

LlamaIndex logo
  • Beginner
  • 59 mins
  • 8 Video Lessons
  • 6 Code Examples
  • Instructor: Laurie Voss
    • LlamaIndex
    LlamaIndex

What you'll learn

  • Learn to build event-driven workflows with complex branching, looping logic, and concurrent executions.

  • Build an event-driven agentic workflow that parses forms, retrieves relevant information from a source document using RAG, and returns answers to the form’s fields as structured outputs.

  • Incorporate human-in-the-loop to a document workflow to provide feedback to the agent through text and voice instructions.

About this course

Learn to build Event-Driven Agentic Document Workflows, in this new course, built in partnership with LlamaIndex, and taught by Laurie Voss, VP of Developer Relations.

Manually processing complex documents can be time-consuming, and error-prone. But what if an AI agent could automate it for you? Agentic document workflows are agent-based applications that you can use to automate an end-to-end document processing workflow. This course teaches you how to build an agentic document workflow, using an event-driven architecture, a design pattern that allows the agent to perform its tasks asynchronously and in parallel.

You’ll design an event-driven agentic workflow that fills out a PDF form based on information from a source document. The agent will use RAG to retrieve relevant data from the source document, parse the form to identify the required fields, convert the blank spaces into questions, and send those questions to the RAG system. You’ll collaborate with the agent using a human-in-the-loop feedback approach through text and with your voice.

In detail, you’ll:

  • Understand the basic concepts of agentic document workflow, which consists of RAG, agents, and event-driven workflows.
  • Build a series of LlamaIndex’s workflows that increase in complexity and involve branching, looping logic, and concurrent executions.
  • Set up the agent’s RAG capability by parsing the source document, loading the extracted information into a vector store, and building a query engine on top of the store.
  • Implement workflow steps that enable the agent to parse the form to be filled, turn the parsed information into simple questions, and use the questions to query the RAG pipeline.
  • Incorporate human-in-the-loop into the workflow and ask the agent to re-answer when necessary to produce more accurate form responses.
  • Add multimodal capability to the agent, allowing it to process spoken feedback.

By the end of this course, you’ll have built an event-driven agentic workflow that fills out a document and responds to human feedback for more accurate form completion.

Who should join?

Anyone who has basic Python knowledge and basic understanding of object-oriented programming, and wants to learn to build event-driven agent workflows!

Course Outline

8 Lessons・6 Code Examples

  • Introduction

    Video・3 mins

  • What are Agentic Document Workflows

    Video・5 mins

  • Building a Workflow

    Video with Code Example・18 mins

  • Adding RAG

    Video with Code Example・9 mins

  • Form Parsing

    Video with Code Example・6 mins

  • Human in the Loop

    Video with Code Example・8 mins

  • Use your Voice

    Video with Code Example・6 mins

  • Conclusion

    Video・1 min

  • Appendix – Tips and Help

    Code Example・10 mins

Instructor

Laurie Voss

Laurie Voss

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

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