Fundamentals of Agentic AI

Level 1 Certification Exam - L1:P4-FAI

Exam Overview

L1:P4-FAI

Introduction to agentic AI concepts, covering prompt engineering, Markdown, Pydantic, and OpenAI Agents SDK fundamentals.

Exam Content

Topics covered in this exam

1
Prompt Engineering

Temperature, top_k, and top_p effects
Safe system messages for sensitive data
Chain of Thought prompting
Tree of Thoughts prompting

2
Markdown

Clickable images with tooltips
Numbered and bulleted list formatting

3
Pydantic

@pydantic.dataclasses.dataclass vs BaseModel
Type hints for validation and schema definition
Using dataclasses as output_type in agents

4
OpenAI Agents SDK

General concepts & defaults
Handoffs (concept, usage, parameters, callbacks)
Tool calls & error handling during execution
Dynamic instructions & context objects
Guardrails (purpose, timing, tripwires)
Tracing (traces vs spans, multi-run traces)
Hooks (RunHooks, AgentHooks)
Exception handling (MaxTurnsExceeded, ModelBehaviorError, etc.)
Runner methods (run, run_sync, run_streamed) and use cases
ModelSettings and resolve() method
output_type behavior and schema strictness

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Exams are conducted online with proctoring.