DeepLearning.AI
AI is the new electricity and will transform and improve nearly all areas of human lives.

💻   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


Sign in

Create Your Account

Or, sign up with your email
Email Address

Already have an account? Sign in here!

By signing up, you agree to our Terms Of Use and Privacy Policy

Choose Your Learning Path

Enjoy 30% Off Now. Cancel Anytime!

MonthlyYearly

Change Your Plan

Your subscription plan will change at the end of your current billing period. You’ll continue to have access to your current plan until then.

View All Plans and Features

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
  • Explore Courses
  • Community
    • Forum
    • Events
    • Ambassadors
    • Ambassador Spotlight
  • My Learnings
  • daily streak fire

    You've achieved today's streak!

    Complete one lesson every day to keep the streak going.

    Su

    Mo

    Tu

    We

    Th

    Fr

    Sa

    free pass got

    You earned a Free Pass!

    Free Passes help protect your daily streak. Complete more lessons to earn up to 3 Free Passes.

    Free PassFree PassFree Pass
Welcome to Multi AI agent systems with CrewAI, built in partnership with CrewAI and taught by its founder and CEO, João Moura. I think AI agent workflows will be a key driver of AI progress in the near term. Multi agent workflows let you break down the complex tasks into subtasks that can be executed by agents, each of which plays a particular defined role. For example, if your goal is get a research report written, the roles might be researcher, writer, and fact checker. Or if you want to get a website built, perhaps the roles could be a web designer, software engineer and testing engineer. I've really enjoyed using crewAI myself, and I'm delighted that its creator João, is teaching this course. João had created crewAI when he needed a tool to build better agents, to help him write LinkedIn posts, and he has a lot of experience designing workflows to collections of agents. Execute. Thanks, Andrew. Really, I'm excited to work with you and your team and this is and has the potential to enable engineers to build great things. In this course, you learn the major building blocks for agentic systems with an emphasis on multi-agent systems. Building blocks you learn include: role-playing, tool use, memory, guardrails, and collaboration. And you use these components to build a collection of agents, to customize a resume, to job description, and to perform financial analysis, and also to perform event planning. As part of assembling your agentic workflow, you also define how these agents cooperate, which ones are able to delegate to other agents to perform certain tasks like research, and whether certain agents should execute their tasks in parallel or in series, or in a hierarchical fashion, with a manager agent delegating to a number of worker agents. João will go through these concepts using the crewAI Open Source library. Yes, this course will help engineers trying to understand how to build AI agentic applications and how they differ from regular applications that we have been building up to this point. After watching this, you will be equipped with everything you need to build multi-agent systems and reap all the benefits from it. I like to think of good multi-agent systems designs like being a manager. You are now promoted into this manager of agents and get to identify the goals and the various roles that will work together to achieve those goals, and also define clear expectations for what success looks like. It's a very interesting mental shift from regular engineering. Yes, indeed, many people have worked to create this course. I'd like to thank the whole CrewAI team and from DeepLearning.AI, Eddy Shyu, also contributed to this course. The first lesson will give you an overview of AI agents, and also an overview of the rest of the course. So make sure to stick around. So let's go on to the next video and dive into the key building blocks of AI agents.
course detail
Next Lesson
Multi AI Agent Systems with crewAI
  • Introduction
    Video
    ・
    3 mins
  • Overview
    Video
    ・
    11 mins
  • AI Agents
    Video
    ・
    8 mins
  • Create agents to research and write an article
    Video with Code Example
    ・
    15 mins
  • Key elements of AI agents
    Video
    ・
    11 mins
  • Multi agent customer support automation
    Video with Code Example
    ・
    18 mins
  • Mental framework for agent creation
    Video
    ・
    3 mins
  • Key elements of agent tools
    Video
    ・
    7 mins
  • Tools for a customer outreach campaign
    Video with Code Example
    ・
    16 mins
  • Recap of tools
    Video
    ・
    1 min
  • Key elements of well defined tasks
    Video
    ・
    4 mins
  • Automate event planning
    Video with Code Example
    ・
    15 mins
  • Recap on tasks
    Video
    ・
    1 min
  • Multi agent collaboration
    Video
    ・
    5 mins
  • Mutli agent collaboration for financial analysis
    Video with Code Example
    ・
    12 mins
  • Build a crew to tailor job applications
    Video with Code Example
    ・
    17 mins
  • Next steps with AI agent systems
    Video
    ・
    5 mins
  • Conclusion
    Video
    ・
    1 min
  • Next Step: Build Advanced Multi AI Agent
    Code Example
    ・
    10 mins
  • Course Feedback
  • Community