panaversity/learn-agentic-ai
Educational course material for learning agentic AI systems using OpenAI Agents SDK, MCP, A2A protocols, and cloud-native infrastructure.
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This repository provides learning material for the Panaversity Agentic AI certification program. It teaches the DACA (Dapr Agentic Cloud Ascent) design pattern for building multi-agent systems. The curriculum covers OpenAI Agents SDK, Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, distributed workflows, and agent-native cloud deployment using Kubernetes and Dapr.
Frequently asked
- What is panaversity/learn-agentic-ai?
- Educational course material for learning agentic AI systems using OpenAI Agents SDK, MCP, A2A protocols, and cloud-native infrastructure.
- Is learn-agentic-ai open source?
- Yes — panaversity/learn-agentic-ai is open source, released under the MIT license.
- What language is learn-agentic-ai written in?
- panaversity/learn-agentic-ai is primarily written in Jupyter Notebook.
- How popular is learn-agentic-ai?
- panaversity/learn-agentic-ai has 4.3k stars on GitHub.
- Where can I find learn-agentic-ai?
- panaversity/learn-agentic-ai is on GitHub at https://github.com/panaversity/learn-agentic-ai.