Academy Course
Autonomous AI Agents
Architect autonomous agent loops. Master LangGraph nodes, CrewAI agents, AutoGen conversations, tool call integrations, and memory persistence.
Course Syllabus
Syllabus 1: Agent Basics
Single-agent loops, reasoning chains, output parsing, and dynamic tool schemas.
Syllabus 2: State & Memory
Short-term context memory, persistent storage systems, checkpoint managers, and backtracking loops.
Syllabus 3: Multi-Agent Systems
Hierarchical agent networks, peer-to-peer conversations, shared state databases, and agent communication protocols.
Syllabus 4: Production Agents
Telemetry logs, trace visualizers (LangSmith), human-in-the-loop triggers, and cost control limits.
Duration: 8 Weeks · Level: Advanced
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