{"repo":"panaversity/learn-agentic-ai","free":true,"listed":false,"github":"https://github.com/panaversity/learn-agentic-ai","clone":"git clone https://github.com/panaversity/learn-agentic-ai.git","description":"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.","language":"Jupyter Notebook","stars":4327,"topics":["agentic-ai","langmem","mcp","openai-api","openai","docker","kubernetes","dapr","a2a","dapr-pub-sub"],"license":"MIT","category":"deployment-docker-iac","readme_excerpt":"Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern: From Start to Scale This repo is part of the Panaversity Certified Agentic & Robotic AI Engineer program. You can also review the certification and course details in the program guide. 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 😄). Our Agentic Strategy for Pakistan: Four Working Hypotheses Pakistan must place smart, early bets on the technologies and talent that will define the agentic AI era—because we intend to train millions of agentic-AI developers across the country and abroad, and launch startups at scale (ambitious, yes—but coffee is cheaper than regret). Hypothesis 1 — Agentic AI is the trajectory We believe the future of AI is agentic : systems that plan, coordinate tools, and take actions to deliver outcomes, not just answers (aka “from chat to getting things done”—and ideally without breaking anything valuable). This hypothesis guides our curriculum design, tooling choices, and venture focus. Hypothesis 2 — Cloud-native rails: Kubernetes × Dapr × Ray Our bet for large-scale agentic systems is a cloud-native stack: Kubernetes for orchestration, Dapr (Actors, Workflows, and Agents) for reliable micro-primitives, and Ray for elastic distributed compute. Tog","default_branch":null,"files":null,"tree":[],"storefront":"/r/panaversity","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/panaversity/learn-agentic-ai/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}