1Z0-1157-26 Agentic AI Foundations Associate Practice Exam

About this course

Prepare with confidence for the exam through this comprehensive, exam-focused course designed for IT professionals, Oracle Cloud practitioners, developers, architects, data professionals, students, and AI enthusiasts. Whether you are beginning your journey into Generative AI or expanding your Oracle Cloud expertise, this course provides a structured learning path aligned with the official Oracle certification objectives.

The course begins with a solid introduction to Artificial Intelligence Agents, explaining how modern AI agents differ from traditional chatbots and rule-based automation. You'll understand the architecture of intelligent agents, including Large Language Models (LLMs), tools, orchestration loops, reasoning patterns such as Chain-of-Thought (CoT) and ReAct, memory, planning, reflection, and enterprise guardrails used to build reliable AI solutions.

Next, you'll explore LangChain for AI Agents, one of the most widely adopted frameworks for building agentic AI applications. You'll learn how prompts, chat models, chains, tools, output parsers, and agents work together to create intelligent workflows while understanding how LangChain manages reasoning, tool execution, and orchestration behind the scenes.

The course then covers the Model Context Protocol (MCP), a modern standard for connecting AI agents with enterprise systems and external tools. You'll gain a thorough understanding of MCP architecture, including Hosts, Clients, Servers, Resources, Prompts, Tools, JSON-RPC 2.0 messaging, STDIO and Streamable HTTP transports, and secure enterprise integration patterns.

A major focus is placed on the OpenAI Responses API and OpenAI Agents SDK, where you'll learn how enterprise AI applications communicate with foundation models, perform function calling, execute tools, manage runners, implement multi-agent workflows using handoffs, and secure AI applications with input and output guardrails.

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