learn-agentic-ai
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.
Study Agentic AI concepts and cloud technologies through provided learning materials and course details.
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Free · no card · unsubscribe anytimeLearn 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.
learn-agentic-ai has 4.3k stars on GitHub. It has been forked 996 times. learn-agentic-ai is written mainly in Jupyter Notebook. It has been in active development since 2024. learn-agentic-ai is available under the MIT license. Its main topics are a2a, agentic-ai, dapr, dapr-pub-sub.
What is learn-agentic-ai?
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.
Is learn-agentic-ai open source?
learn-agentic-ai is an open-source project. It is released under the MIT license.
Is learn-agentic-ai free?
Yes. learn-agentic-ai is free and open source — you can use, modify and self-host it.
What license does learn-agentic-ai use?
learn-agentic-ai is available under the MIT license.
What language is learn-agentic-ai written in?
learn-agentic-ai is written mainly in Jupyter Notebook.
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