- Agent Architecture & Principles: Understanding autonomous behavior, goal-oriented planning, reasoning strategies, and reflection.
- Tool Use & Function Calling: Enabling agents to use search engines, code interpreters, and APIs to interact with external applications (Gmail, Slack, CRM).
- Orchestration Frameworks: Implementing frameworks like LangChain, CrewAI, and AutoGen to manage single and multi-agent workflows.
- Memory & Context: Implementing stateful interactions where agents remember past actions and user preferences.
- Agentic RAG (Retrieval-Augmented Generation): Utilizing agents to intelligently retrieve, filter, and synthesize information from databases.
- Evaluation & Deployment: Techniques to test, benchmark, and deploy agents, including AI-specific DevOps (AgentOps).