✨ New course! Enroll in Practical Multi AI Agents and Advanced Use Cases with crewAI

:arrow_forward: Enroll Now!


Join our new short course, Practical Multi AI Agents and Advanced Use Cases with crewAI , taught by João Moura, Founder of CrewAI, and learn how to build and deploy agent-based apps for advanced real applications in the industry.

In this course, you will build several practical apps like an automated project planning system, lead-scoring and engagement automation, support data analysis, and content creation at scale.

4 Likes

what is the prerequisite knowlege assumed in order to understand, participate and benefit from this course?

Hello @eemannAI ,

You can find all of the information for the course on the DeepLearning.AI page.

Hello, I am enrolled in this course but I am having trouble playing the videos. I am using Opera and have already tried refreshing the page and clearing my cache, but the videos still won’t start. The videos only display the loading circle. Can anyone help? Thanks

Perhaps a different browser may fix the problem. Opera has a lot of compatibility issues.

The videos play correctly for me using Firefox on Win10.

Hello, I am enrolled in this course. But I am unable to find the forum to post questions related to the specific course.

In case this is the correct thread, here’s my query: I am in the Support Data Insight Analysis Lab. I have set up the agents and tasks from the yaml files provided, but my Chart Generation Agent keeps running into error loops.

Error

I encountered an error while trying to use the tool. This was the error: Error while fetching server API version: (‘Connection aborted.’, FileNotFoundError(2, ‘No such file or directory’)).
Tool Code Interpreter accepts these inputs: Code Interpreter(code: ‘string’, libraries_used: ‘array’) - Interprets Python3 code strings with a final print statement. code: ‘Python3 code used to be interpreted in the Docker container. ALWAYS PRINT the final result and the output of the code’, libraries_used: ‘List of libraries used in the code with proper installing names separated by commas. Example: numpy,pandas,beautifulsoup4’

Ultimately it does get out of the loop, but no chart is generated.
A related query would be: can we as users run the codes & save the .png generated in the environment location provided? That might be a reason why I am not seeing the charts in the final report

The forums for Short Courses are in the “Short Course Q&A” area.
Click on that item in the left side menu in your browser.

L_4 and L_5 notebooks are just not running correctly. The course has been a huge disappointment for me as it has notebooks that are not in a fully usable state, sadly.