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🎉 Congratulations on Reaching the Mastering AI Agents project Submission!

Here's everything you need to know to complete your project and submit successfully.

In this project, you'll apply everything you've learned in Mastering AI Agents program to build a Multi-Agent System. Your submission should demonstrate your ability to design and implement a modular, composable team of agents that can collaborate effectively to solve a problem.

📋 Technical Requirements

Required Components:

1. Multi-Agent System (minimum 3 agents)

At least 3 agents with distinct roles working together

Clear communication or coordination between agents

Use an orchestration framework (LangGraph, CrewAI, AutoGen, or similar)

2. Tool Integration

Your system should integrate at least 3 different tools

Tools can be built-in (LangChain tools) or custom implementations

Tools should extend capabilities beyond basic LLM responses (e.g., web search, math calculations, file processing, API calls, etc.)

Optional Enhancements:

Human-in-the-loop interactions
Use of communication protocol such as MCP
Formal evaluation metrics and benchmarking against baselines

For more information on Mastering AI Agents project requirements, see here.

Submission Deadline ⏰

Your Mastering AI Agents project will be reviewed in the month that matches your submission date. Submit your project by any one of the following deadlines:

 🔴 January 05, 2026,11:59 PM UTC
 🔴 February 02, 2026, 11:59 PM UTC
 🔴 March 02, 2026, 11:59 PM UTC
 🔴 April 06, 2026, 11:59 PM UTC
 🔴 May 04, 2026, 11:59 PM UTC

If you miss a date, just submit before the next one — your project will be reviewed in that month's review cycle.

🚀 Step-by-Step Submission Process

Before You Begin

Make sure you’ve done the following:

Have a Ready Tensor account – If you’re not already registered, sign up here.
Be enrolled in the program – If you haven’t joined yet:
- Go to the Certifications page
- Click “Join Now” near the top (next to the page title)
- You’ll be enrolled immediately.
  (If you don’t see the Join Now link, you’re already enrolled.)

Step 1: Create Your Publication

The **team lead** creates a new publication on the Ready Tensor platform describing your multi-agent system project. Use the team lead’s personal hub for the publication.

⚠️ Create the publication in the team lead's personal hub (not in the hub named `Ready Tensor Certifications`).

Step 2: Select the program

In the Create Publication form, choose the correct program from the dropdown (i.e., Multi-Agent System for this project).

If you don’t see the dropdown, you’re not enrolled — see the instruction on how to enroll above.

Step 3: Add Co-Authors

Include all teammates as co-authors. The team lead will be listed as the first author.

Step 4: Link Your Code Repository

Upload your GitHub repository URL in the "Code" section of the publication. Ensure your repository contains all code, configurations, and documentation needed to run the multi-agent system.

Step 5: Follow Best Practices

Adhere to Ready Tensor’s best practices for AI/ML project documentation and code repository management.

Step 6: Upload Supplementary Files

Optionally upload any additional files (e.g., diagrams, datasets, documentation) that support your submission.

Step 7: Final Review and Submit

Complete your submission before the deadline. Including a video demo of your multi-agent system is highly recommended to showcase its functionality and improve your portfolio.

You are encouraged to include a video demo of your app in your publication to enhance clarity and showcase your work more effectively. While not required, this is strongly recommended as videos serve as valuable portfolio additions. Record your application's workflow, optionally include a brief presentation, upload to YouTube, and attach the link to your Ready Tensor publication to improve readability and overall impact.

📝 Publication Requirements Checklist

Published on Ready Tensor platform
Correct program selected in the dropdown
Created by the team lead
All teammates added as co-authors
GitHub repository linked under the "Code" section
Repository follows AI/ML best practices
Documentation clearly explains system design, agent roles, communication, and orchestration

💻 Code Repository Requirements

Follow AI/ML code development best practices
Ensure the code is reproducible and runnable locally by evaluators
Provide clear setup instructions, sample inputs, and expected outputs
Securely handle API keys and sensitive data using .env and .env_example files
Aim to score 70% or higher on the repository evaluation rubric

Please ensure that API keys and other sensitive information are not exposed in your main GitHub repository or shared publicly. Instead, store such data in a .env file and make sure it is included in your .gitignore to prevent accidental uploads. For reproducibility, you should provide a .env_example file that outlines the required environment variables without revealing any real values. This practice helps maintain security while allowing others to understand how to set up the project properly. Thank you for following secure development practices.

🔍 Evaluation Process

Review of your Ready Tensor publication
Cloning and local execution of your GitHub repository
Testing of multi-agent communication, memory sharing, and LangGraph orchestration
Assessment against technical and documentation rubrics
Feedback and certification status provided

💡 Key Reminders

program selection is mandatory: Pick Multi-Agent System from the dropdown when creating your project.
Team lead submits: Only the team lead creates the publication
Code must run: Ensure your repository is fully functional and reproducible
Meet quality standards: Both publication and code must meet minimum quality thresholds

For questions or technical support, reach out to the Ready Tensor team on Discord. We are here to help you succeed!

📚 Additional Resources

Good luck with your Mastering AI Agents submission! We look forward to reviewing your innovative multi-agent system.

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Project Submission Guidelines: Mastering AI Agents Certification

Project Submission Guidelines: Mastering AI Agents Certification

Table of contents

🎉 Congratulations on Reaching the Mastering AI Agents project Submission!

📋 Technical Requirements

Required Components:

Optional Enhancements:

Submission Deadline ⏰

🚀 Step-by-Step Submission Process

Before You Begin

Step 1: Create Your Publication

Step 2: Select the program

Step 3: Add Co-Authors

Step 4: Link Your Code Repository

Step 5: Follow Best Practices

Step 6: Upload Supplementary Files

Step 7: Final Review and Submit

📝 Publication Requirements Checklist

💻 Code Repository Requirements

🔍 Evaluation Process

💡 Key Reminders

📚 Additional Resources

Table of contents