ai-agents-for-beginners and all-agentic-architectures

One project provides foundational educational material for building AI agents, complementing the other which offers practical implementations of various agentic architectures for different stages of AI system development.

Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 2/25
Adoption 10/25
Maturity 15/25
Community 24/25
Stars: 53,826
Forks: 18,688
Downloads:
Commits (30d): 117
Language: Jupyter Notebook
License: MIT
Stars: 2,892
Forks: 517
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
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About ai-agents-for-beginners

microsoft/ai-agents-for-beginners

12 Lessons to Get Started Building AI Agents

This course helps developers understand and implement AI Agents into their applications. It provides detailed lessons on the fundamentals of building AI Agents. The course includes written explanations and Python code samples, guiding developers from basic concepts to practical application.

AI development software engineering AI agent building Azure development application development

About all-agentic-architectures

FareedKhan-dev/all-agentic-architectures

Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.

This resource provides practical, hands-on examples for building advanced AI systems that can reason, plan, and collaborate. It translates complex AI agent concepts into working code, showing how to create intelligent automation for tasks like financial analysis, personalized assistants, or content generation. AI developers, researchers, and engineers can use these detailed implementations to build robust and sophisticated AI agents.

AI-system-development intelligent-automation AI-architecture agent-design large-language-models

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