ai-agents-for-beginners and training-ai-agents
These two tools are complements, as the introductory lessons offered by A could be used to learn how to implement the self-improving training architecture described in B.
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 training-ai-agents
FareedKhan-dev/training-ai-agents
Training architecture for self-improving AI agents.
Implements a multi-agent training pipeline using LangGraph and distributed RL algorithms (SFT, PPO, contextual bandits) with real-time observability via LangSmith and Weights & Biases. Agents collaborate through shared hierarchical state, exchange knowledge in parallel, and self-improve through dynamic reward systems that adapt based on performance and task alignment. The architecture progresses through supervised fine-tuning, reinforcement learning phases, and includes tracing hooks and logging adapters for capturing every interaction and learning step.
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