ai-agents-for-beginners and Agent_In_Action

These are complements: the Microsoft course provides foundational educational content for building AI agents, while the FlyAIBox project offers practical implementation examples and code patterns that learners can apply to the concepts taught in the lessons.

Agent_In_Action
53
Established
Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 9/25
Maturity 13/25
Community 21/25
Stars: 53,826
Forks: 18,688
Downloads:
Commits (30d): 117
Language: Jupyter Notebook
License: MIT
Stars: 77
Forks: 33
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
No Package No Dependents

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 Agent_In_Action

FlyAIBox/Agent_In_Action

Agentic AI 智能体开发实战

This project helps AI engineers, backend developers, and technical leaders design, build, and deploy AI agent systems for real-world business problems. It takes you from understanding core agent principles to creating complete applications, integrating tools, and deploying them with frontends and backends. You'll gain hands-on experience by building six enterprise-grade projects.

AI-application-development multi-agent-systems enterprise-AI AI-system-architecture LLM-finetuning

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