ai-agents-for-beginners and agents-towards-production

The first tool provides foundational lessons for beginners to start building AI agents, while the second offers more advanced, production-oriented tutorials for building and scaling GenAI agents, making them **complements** in a learning progression from basic understanding to deployment.

Maintenance 23/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 13/25
Adoption 10/25
Maturity 15/25
Community 22/25
Stars: 53,826
Forks: 18,688
Downloads:
Commits (30d): 30
Language: Jupyter Notebook
License: MIT
Stars: 18,171
Forks: 2,412
Downloads:
Commits (30d): 1
Language: Jupyter Notebook
License:
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

Structured curriculum covering agent fundamentals, reasoning patterns, and tool integration using Microsoft Agent Framework paired with Azure AI Foundry Agent Service V2. Each of the 12 lessons includes written content, Python code samples, and video walkthroughs demonstrating practical implementations. Available in 50+ languages with automated translation updates via GitHub Actions.

About agents-towards-production

NirDiamant/agents-towards-production

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

Covers stateful workflows, vector memory integration, real-time web search APIs, FastAPI deployment, security guardrails, GPU scaling, browser automation, and multi-agent orchestration using LangGraph and LangChain. Integrates with Redis for agent memory, Contextual AI for RAG, Tavily for web access, and Arcade for secure tool calling, with tutorials spanning Docker deployment, observability, evaluation frameworks, and full-stack UI development.

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