learn-agentic-ai

by panaversity · Jupyter Notebook · ★ 4,107

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

#a2a#agentic-ai#dapr#dapr-pub-sub#dapr-service-invocation#dapr-sidecar#dapr-workflow#docker#kafka#kubernetes#langmem#mcp#openai#openai-agents-sdk#openai-api#postgresql-database#rabbitmq#rancher-desktop#redis#serverless-containers

Install

git clone https://github.com/panaversity/learn-agentic-ai.git

Claude Desktop config

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "learn-agentic-ai": {
      "command": "npx",
      "args": [
        "-y",
        "github:panaversity/learn-agentic-ai"
      ]
    }
  }
}

From the README

This repo is part of the [Panaversity Certified Agentic & Robotic AI Engineer](https://panaversity.org/) program. You can also review the certification and course details in the [program guide](https://docs.google.com/document/d/1BygAckkfc_NFQnTfEM6qqUvPdlIHpNItmRtvfRMGp38/edit?usp=sharing). This repo provides learning material for Agentic AI and Cloud courses. Here’s a polished, professional rewrite you can use as a one-pager or slide—tight on wording, clear on stakes, and just a touch playful so it doesn’t read like it was written by a committee (no offense to committees 😄). Pakistan must…

Read full README on GitHub →