AI Developer Certificate

Directory / Oracle

Oracle Agentic AI Foundations Associate

A free introductory exam on agents. Much of the syllabus covers non-Oracle technology such as LangChain and MCP.

What it signals

Practical assessment: Knowledge quiz, unproctored or open book (1 of 4) Practical assessment
Knowledge quiz, unproctored or open book. Proctoring unconfirmed; free online knowledge exam.
– Identity assurance
Not rated.
Depth: Foundational (1 of 4) Depth
Foundational. Foundational level.
Experience expected: None (0 of 4) Experience expected
None. Entry level.
Portability: Mostly transferable (3 of 4) Portability
Mostly transferable. Majority of modules use open frameworks (LangChain, MCP, OpenAI SDK).
Verifiability: Certificate with an ID (2 of 4) Verifiability
Certificate with an ID. Digital credential; public verification route not confirmed.

For hiring managers

  • New in 2026 and part of a four-exam Agentic AI track (also: OCI Enterprise AI Professional 1Z0-1158-26, Agentic AI for Oracle AI Database Professional 1Z0-1159-26, Agentic AI for Oracle Data Platform Professional). Unusually for Oracle, four of six modules cover non-Oracle technology (LangChain, MCP, OpenAI Agents SDK).

Verifying it

Oracle issues digital credentials/badges through Oracle University (CertView / MyLearn); exact public verification mechanism not confirmed in this research.

What it covers

By topic

GenAI apps: Touched on (under 10%) (1 of 4) GenAI apps
Touched on (under 10%). LLM basics are assumed rather than examined.
Agents: Core focus (over 35%) (4 of 4) Agents
Core focus (over 35%). All six modules are about agents.
Classical ML: Not covered (0 of 4) Classical ML
Not covered. Not covered.
Operations: Touched on (under 10%) (1 of 4) Operations
Touched on (under 10%). Enterprise hosting/operations touched in one module.
Data: Touched on (under 10%) (1 of 4) Data
Touched on (under 10%). Vector search/grounding touched in the database module.
Responsible AI: Touched on (under 10%) (1 of 4) Responsible AI
Touched on (under 10%). Safety and guardrails covered within modules.

Exam details

Who the provider says it is for. Agentic AI beginners, AI/ML engineers moving from models to agentic systems, cloud developers adding agents to applications, data scientists grounding agents on enterprise data.

Prerequisites
None formal
Recommended experience
Course assumes basic familiarity with LLM concepts, working knowledge of Python, and basic familiarity with OCI
Price notes
Oracle: 'the certification exam is free'.

Preparing

Not confirmed

These details were not available from an official source at the time of research.

  • officialUrl not loadable by automated client
  • durationMinutes
  • questionCount
  • passingScore
  • delivery/proctoring
  • section weights
  • code in exam
  • employer verification mechanism
Sources (3)