Class-01: Agent-Native Cloud Development - Introduction to Cloud Architecture - Basic Components

Ready to level up your AI development skills? This playlist dives deep into building planet-scale, multi-AI agent systems using the cutting-edge Dapr Agentic Cloud Ascent (DACA) architecture and Agent-Native Cloud Technologies.

We'll guide you step-by-step, starting with the fundamentals of building agent endpoints using FastAPI and progressing to cloud-native development with Kubernetes and Dapr. You'll learn how DACA leverages Kubernetes for seamless orchestration and Dapr for robust distributed capabilities.

Discover how to architect AI agents as stateful Dapr Actors, create intuitive user interactions with FastAPI APIs, and enable scalable agent communication through Pub/Sub.

Agent-Nativ Cloud Development with Ranchers Desktop, Tilt and Helm

📚 *What Will You Learn?*
- Building agent endpoints with FastAPI: Master the basics, validation, parameters, and create a chat API for your DACA agents, with future integration with Dapr Pub/Sub.
- Cloud-native setup with Kubernetes: Get hands-on with YAML, Rancher Desktop, containers, Kubernetes, and Helm to deploy your Dapr applications.
- Introduction to Dapr: Learn to configure Pub/Sub (pubsub.yaml) and state stores (statestore.yaml) using Helm for building distributed agent logic.
- Security fundamentals and advanced techniques: Establish a strong security foundation and explore advanced methods for production-grade DACA agents.
- Building DACA agents with Dapr Virtual Actors: Unlock the power of Dapr Actors to create stateful and scalable AI agents.
- Orchestrating complex AI workflows: Learn to design and implement intricate, AI-driven workflows for long-running production systems.

👨‍💻 *Learn More* https://github.com/panaversity/learn-agentic-ai/tree/main/04_daca_agent_native_dev
📚 *What Will You Learn?*
- Understand the core concepts of the OpenAI Agents SDK for building intelligent agents.
- Learn how to use Chainlit to create interactive and user-friendly interfaces for your AI applications.
- Master prompt engineering to optimize AI outputs within the context of agents and Chainlit.
- Explore practical examples of integrating the OpenAI Agents SDK with Chainlit.
- Build interactive AI applications that can handle complex tasks and user interactions.
🛠️ *Tools & Technologies Covered:*
- Python
- OpenAI Agents SDK
- Ranchers Desktop
- Tilt
- Helm
- Kubernetes
📌 Useful Links:
- [Code Link:] (https://github.com/panaversity/learn-agentic-ai)

📣 Stay Connected:
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- **Connect with the Instructors**: Have questions? Want to connect? Find us on LinkedIn:
- [Zia Khan](https://www.linkedin.com/in/ziaukhan/)
- [Qasim Sir](https://www.linkedin.com/in/sirqasim/)

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Видео Class-01: Agent-Native Cloud Development - Introduction to Cloud Architecture - Basic Components канала Panaversity Urdu