Assalamu Alaikum future tech leaders and developers! Welcome to Day 13 of our Complete Product Development A-Z series on Codanics!

In Day 12, we discussed profitable ideas for AI agents. Today, it's time to practically implement those ideas!

In this video, I'll share 11 fully functional AI agents built using LangGraph and Python. Best of all, the source code for all these agents is available to you! We'll review these codes line-by-line, understand their architecture, and see how you can customize these pre-built stateful agents for your startup or SaaS product.

What we covered in Day 13:
11 AI Agents Overview: Each agent's specific use-case and architecture.
LangGraph Code Breakdown: Understanding the edges and nodes of stateful agents.
Customization Guide: How to modify these pre-built codes to suit your app's needs.
Running Locally: How to test and deploy these agents on your system.

Master Scientific Writing & Research:
If you're using these AI workflows in your research and want to write high-impact papers, check out our complete FREE Scientific Writing course here:
https://www.youtube.com/playlist?list=PL9XvIvvVL50FfbyuZQjpF8zcTB7HWROYY

Bioinformatics Ka Chilla:
If you want to build AI agents for NGS or genomics data, learn core concepts from our Bioinformatics course:
https://codanics.com/courses/bioinformatics-ka-chilla/

Explore Other Free Learning Resources:
Complete Free AI & Data Science Roadmap: www.codanics.com/roadmap
6-Month Mentorship Program: https://codanics.com/courses/six-months-of-ai-and-data-science-mentorship-program/

Stay Updated with Daily Tech News & Live Classes:
Follow the Codanics WhatsApp channel for daily study tips, open-source repos, and updates:
https://whatsapp.com/channel/0029Va7nRDq3QxRzGqaQvS3r

Don't forget to:
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Comment below: Which of these 11 agents is your favorite AI agent and why?

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