panaversity/learn-agentic-ai resource
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. observed · 2026-08-28
Health v2 · maintenance only
45/100
- Activity 48
- Release rhythm 35
- Longevity 58
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 812
- days_rel: n/a
- days_push: 312
- n_releases_24m: 0
Adoption not part of the score
4347 stars · 1008 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
An open-source curriculum teaching Agentic AI development using the Dapr Agentic Cloud Ascent (DACA) design pattern, covering OpenAI Agents SDK, MCP, A2A, knowledge graphs, Dapr, and Kubernetes. It is part of the Panaversity Certified Agentic & Robotic AI Engineer program and is delivered as Jupyter Notebook learning material.
Use cases
- learn agentic ai from scratch
- study the dapr agentic cloud ascent design pattern
- learn openai agents sdk with tutorials
- understand mcp and a2a protocols for agents
- learn to scale ai agents on kubernetes and dapr
- follow a certified agentic ai engineer curriculum
- learn agent-native cloud technologies like dapr and kafka
When to choose
- you want structured, hands-on course material for building and scaling AI agents
- you want to learn the OpenAI Agents SDK alongside cloud-native tooling like Dapr and Kubernetes
- you are following the Panaversity certification program
- you prefer learning via Jupyter notebooks with an MIT license
When to avoid
- you need production-ready agent framework code rather than educational material
- you want a framework-agnostic course that avoids the OpenAI ecosystem
- you are looking for a deployable application rather than a curriculum
Facets
learning-resource · maturity active
agent-framework mcp llm-inference container-orchestration developer-tools large-language-models tutorials cloud-computing python cloud daca-design-pattern openai-agents-sdk dapr a2a agentic-ai course-material jupyter-notebooks rancher-desktop ai-agents containers kubernetes docker
1 source
- readme: https://github.com/panaversity/learn-agentic-ai · fetched 2026-08-28 · a09635bef6ca
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| panaversity/learn-agentic-ai | main | 45 |
For agents
markdown · JSON · MCP: product_card(name="panaversity/learn-agentic-ai")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem