Back to AI DashboardModule 8: Agentic AI
AI Engineer Track
Module 8: Agentic AI
Design autonomous loops combining function call registrations, multi-step planners, and reflection cycles.
Syllabus Modules
Agent ReAct LoopsComing Soon
Examine basic prompt reflection cycles and action gates.
Total Lessons: 0Explore Module
Task DecompositionComing Soon
Learn checklists planning loops and recursive subtask execution maps.
Total Lessons: 0Explore Module
Tool Calling MechanicsComing Soon
Register schema signatures exposing API resources to models.
Total Lessons: 0Explore Module
Agent MemoryComing Soon
Store history threads using local states and vector database query histories.
Total Lessons: 0Explore Module
State Graph FlowsComing Soon
Manage complex execution branches using stateful node graphs.
Total Lessons: 0Explore Module
Track Progress
0 / 6Projects Verified
Learning Outcomes
- Construct robust agent loop engines with exception backoffs
- Map system functions to JSON schemas for reliable LLM tool calls
- Manage conversational state using sliding context history windows
Interview Defense
- Defend sequential agent loops vs parallel routing topologies in high-error scopes
- Analyze cost-latency profiles of multi-step agent reasoning steps