learn-agentic-ai

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA)

This project is an initiative from Panaversity aimed at tackling the challenges of developing agentic AI systems capable of scaling to 10 million concurrent users.

Key Features:

• Comprehensive Courses: Courses cover fundamentals to advanced concepts in Agentic AI and DACA, including AI-201, AI-202, and AI-301.
• DAPR Framework: Utilizes the Dapr Agentic Cloud Ascent design pattern for building scalable and resilient AI systems.
• OpenAI Compatibility: Integrates OpenAI Agents SDK for managing agent logic efficiently.
• Scalability Focus: Potential to handle immense user loads with Kubernetes and Dapr optimizations.

Benefits:

• Cost-Effective Training: Guides students on setting up simulations with limited budgets using open-source tools.
• State-of-the-Art Infrastructure: Explains leveraging cloud platforms and containerization for development and deployment.
• Expert Insights: Provides logical arguments backed by benchmarks and case studies demonstrating feasibility.

This framework is designed for developers aiming to create complex, cloud-native agentic AI applications that are both scalable and resilient from inception to production.