Oracle Agentic AI Foundations Associate 2026

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Oracle Agentic AI Foundations Associate 2026: A Free Certification Worth Your Time

AI agents are changing how software gets built. Instead of just responding to a single prompt, an agent works toward a goal — it reasons about what to do next, calls tools and APIs, checks the result, and decides whether to keep going or try something else. That shift from “chat” to “action” is reshaping what developers, data scientists, and cloud engineers need to know.

To help people build these skills, Oracle has launched the Oracle Agentic AI Foundations course and certification — and the best part is that the certification exam is completely free.

If you’re curious about agentic AI or considering the Become an Oracle Agentic AI Foundations Associate 2026 learning path, here’s a complete breakdown of what it covers, who it’s for, and how to get certified.

Who Is This Course For?

The course is built for anyone who wants to understand how AI agents actually work — not just use them, but build them. It’s a strong fit if you are:

  • An agentic AI beginner looking for a structured, hands-on starting point
  • An AI/ML engineer moving from traditional models into agentic systems
  • A cloud developer who wants to add agents to your applications
  • A data scientist looking to ground agents in enterprise data

No prior agentic AI experience is required, but the course does assume basic familiarity with large language model (LLM) concepts, working knowledge of Python, and some familiarity with Oracle Cloud Infrastructure (OCI). If you’re newer to AI/ML fundamentals altogether, Oracle recommends starting with the OCI AI Foundations course before diving into this one.

What You’ll Learn

By the end of the learning path, you’ll be able to:

  • Understand core AI agent concepts
  • Design AI agents using LangChain and the OpenAI Agent stack
  • Implement Model Context Protocol (MCP) concepts
  • Build agents using the OCI Enterprise AI platform
  • Apply Oracle AI Database capabilities for agentic AI

The course is structured into six modules that build on each other, moving from first principles all the way to enterprise-grade deployment.

Module 1: Introduction to AI Agents

This sets the mental model for everything that follows: an LLM-based agent is an LLM plus tools plus a loop. The module covers what makes an agent goal-directed, autonomous, tool-using, and iterative, along with core reasoning patterns like Chain-of-Thought and ReAct. You’ll build your first agent and get introduced to a layered, defense-in-depth approach to AI safety and guardrails.

Module 2: LangChain for AI Agents

Here you’ll get hands-on with LangChain and the LangChain Expression Language (LCEL). After building your first agent, you go “under the hood” to understand exactly what a single agent.invoke() call is doing — building tool schemas, parsing tool calls, executing functions, and deciding whether another model call is needed. This is the level of understanding you need to actually debug agents and move them into production.

Module 3: Introduction to MCP

The Model Context Protocol (MCP) gives agents a standardized way to connect to tools, data, and prompts. This module walks through MCP architecture and its core components, then has you add an MCP server to your agent — starting with a simple local math server and progressing to a real-world OCI Usage MCP server. The key takeaway: MCP decouples agents from tool implementations, enabling interoperability, discovery, and reuse at scale.

Module 4: OpenAI Responses API and Agents SDK

This module covers the OpenAI Agent stack and how to choose between its components — the Responses API for simpler, single-call use cases, and the Agents SDK for multi-step logic, multiple agents, guardrails, and tracing. You’ll work through tools and function calling, multi-agent systems and handoffs, and safety considerations, capping it off by building a multi-agent customer-support system that routes requests to specialized agents.

Module 5: Agentic AI for Enterprises

Building an agent is one thing; running it reliably in production is another. This module introduces the OCI Enterprise AI platform and OCI Enterprise AI Agents, explaining the division of labor: you focus on the agent’s instructions, tools, knowledge bases, and outcomes, while OCI handles hosted endpoints, scaling, memory and sessions, sandboxed tools, logging, and integrations.

Module 6: Agentic AI for Oracle AI Database

The final module brings agents to your data. It covers Oracle AI Vector Search and its workflow, the Oracle AI Database Private Agent Factory, the Select AI Agent for building agents that live inside the database, and the Oracle Autonomous AI Database MCP Server — showing how agentic capabilities can run close to your data, governed by the security you already rely on.

Earning the Certification

The learning path includes a free Foundations Associate certification exam (exam code 1Z0-1157-26) so you can validate what you’ve learned. The exam tests competencies across all six modules: agent fundamentals and reasoning patterns, building agents with LangChain and the OpenAI Agent stack, implementing MCP, building on the OCI Enterprise AI platform, and applying Oracle AI Database for agentic AI.

Exam details:

  • 40 questions
  • 60 minutes
  • 65% passing score

To help you prepare, the course includes skill checks throughout each module, dedicated exam prep material, and a free practice exam you can take before sitting for the real thing.

How to Get Started

  1. Enroll in the Oracle Agentic AI Foundations learning path on Oracle MyLearn.
  2. Complete all six learning modules, along with their skill checks.
  3. Work through the certification preparation module.
  4. Take the free practice exam to gauge your readiness.
  5. Sit for the official certification exam when you’re ready.
  6. Pass and download your Oracle credential.

Since the certification exam is free, there’s really nothing standing between you and getting started — whether you’re an Oracle DBA, cloud engineer, developer, AI enthusiast, or student.

How to Access the Course, Step by Step

Getting started takes just a few minutes. Here’s exactly how to do it.

Step 1: Create an Oracle Account (if you don’t already have one)

  1. Go to mylearn.oracle.com
  2. Click Sign In in the top right corner
  3. On the sign-in page, look for “Don’t have an Oracle Account?” and click Create Account
  4. Fill in your details — name, email address, password, and country
  5. Check your email for a verification message from Oracle and click the link to activate your account

This is a free Oracle.com account — you don’t need an existing Oracle Cloud subscription to access MyLearn’s free courses and certifications.

Step 2: Sign In

  1. Return to mylearn.oracle.com
  2. Click Sign In
  3. Enter your Oracle Account email and password

Step 3: Go to the Learning Path

  1. Open the Become an Oracle Agentic AI Foundations Associate 2026 learning path
  2. Click Enroll in this path if you haven’t already

Step 4: Start Learning

  1. You’ll see all six modules listed in order
  2. Click the first video/lesson (Module 1: Introduction to AI Agents)
  3. If prompted, click Activate or Start Learning to begin
  4. Work through each module in sequence, completing the skill checks as you go — they reinforce what you’ll need for the certification exam

A Few Tips

  • Take the skill checks at the end of each module seriously; they mirror the style of the certification questions.
  • Once you finish all six modules, take the free practice exam before attempting the real certification exam.
  • The certification exam itself is 40 questions, 60 minutes, with a 65% passing score — and since it’s free, there’s no pressure on a first attempt.

Final Thoughts

Agentic AI represents a real shift in how software gets built — from systems that simply respond, to systems that reason, plan, and act toward a goal. Oracle’s Agentic AI Foundations course does a solid job of taking that concept from theory to practice, walking through the exact tools (LangChain, MCP, the OpenAI Agent stack, OCI Enterprise AI) that are actually being used to build agents today.

Since the certification is free and the learning path is beginner-friendly, it’s a low-risk, high-value way to get up to speed on one of the most important shifts happening in AI right now. The best way to learn agentic AI is to build with it — so if this is a space you want to grow in, this is a great place to start.

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