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Agentic AI

This repository serves as a comprehensive knowledge hub, curating cutting-edge research papers and developments across 24 specialized domains

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Here are some resources to help you get started with building your own agentic AI systems:

A practical guide to building agents:(https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf)) - This comprehensive PDF guide from OpenAI offers practical insights and methodologies for designing and constructing intelligent agents. It likely covers key concepts, architectures, and considerations for building effective agentic systems.
Future of AI: Perspectives for Startups:(https://services.google.com/fh/files/misc/google_cloud_future_of_ai_perspectives_for_startups_2025.pdf) - This is a comprehensive guide aimed at helping startups navigate the rapidly evolving AI landscape in 2025. It offers strategic insights into leveraging AI technologies, particularly those provided by Google Cloud, to drive innovation and growth.
MCP: Build Rich-Context AI Apps with Anthropic (https://learn.deeplearning.ai/courses/mcp-build-rich-context-ai-apps-with-anthropic) - This DeepLearning.AI course teaches how to use the Model Context Protocol (MCP), an open standard by Anthropic, to build agentic AI systems that seamlessly integrate with external tools and data. Learn to create MCP servers and clients to enable LLMs like Claude to perform complex tasks, such as fetching real-time data or executing actions.