Udemy
Master AI Agent Development: LangChain, OpenAI, Ollama, MCP
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
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Hi All,Prepare confidently for the Oracle Maintenance Cloud 2026 Implementation Professional 1Z0-1095-26 certification with all latest/updated MCQS covering 2026 pattern.
Exam format:
Describe the core components of an AI agent and their role in agent execution: LLM, Tools, Orchestration (Loop)Describe agent reasoning patterns: Chain-of-Thought (CoT) and ReAct (Reasoning and Acting)Explain safety considerations and guardrail techniques for AI agents
LangChain for AI AgentsDescribe LangChain core abstractions: chat models, prompts, tools, and agents and the role each plays in agent construction
Apply LangChain tools, prompts, and chains to build an AI agent
Explain the reasoning and tool execution flow within a LangChain agent
Model Context Protocol (MCP) Fundamentals
Explain the role of the Model Context Protocol (MCP) in standardizing integration between AI agents and external tools
Explain MCP core components: hosts, clients, servers, tools, resources, and prompts and the role each plays in agent-tool integration
Describe the MCP message format (JSON-RPC 2.0) and transport options (stdio and Streamable HTTP)Integrate MCP capabilities into an Agentic AI workflow
OpenAI Responses API and Agents SDKExplain how the OpenAI Responses API supports agentic applications
Explain how the core primitives of the OpenAI Agents SDK: Agent, Runner, Tool, Handoffs, and Guardrails support building ag
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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