AI Agents
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Foundations
Core agentic AI concepts, agent loop design, token economics, and the engineering fundamentals for building autonomous systems.
Architecture & Patterns
ReAct, Plan-and-Execute, state machines, event-driven pipelines, GraphRAG, and topology patterns for multi-agent systems.
Open Protocols
Model Context Protocol (MCP), Agent-to-Agent (A2A), OAuth 2.1, Kubernetes deployment, and inter-agent communication standards.
Memory & Context
Working memory, episodic and semantic storage, knowledge graphs, hybrid retrieval, and context window engineering for agents.
Frameworks & Ecosystem
LangGraph, CrewAI, Smolagents, PydanticAI, OpenAI Agents SDK, Semantic Kernel, and the broader agentic framework landscape.
Production Engineering
Observability with OpenTelemetry, evaluation pipelines, CI/CD, cost attribution, fallback strategies, and deployment hardening.
Security & Governance
OWASP Top 10 for agentic AI, prompt injection defense, RBAC, EU AI Act compliance, red teaming, and governance patterns.
Future Horizons
Self-improving agents, RLVR, world models, computer use, autonomous software engineering, and multimodal agent systems.
Projects
End-to-end build guides for real AI agent systems, from research assistants to production-grade autonomous coding agents.