The Agentic AI Engineering Masterclass 2026 By Prof. Ryan Ahmed
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About Prof. Ryan Ahmed
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The Agentic AI Engineering Masterclass 2026 · Program
About this program
The Agentic AI Engineering Masterclass 2026
Online Course
Learning format
AI Agents
Subcategory
English
Course language
$19.99 (list $10.99)
Price
Price may change · updated within 1–2 weeks
Official program page
What you'll learn in The Agentic AI Engineering Masterclass 2026
- Build and deploy intelligent autonomous AI agents using cutting-edge frameworks like OpenAI Agents SDK, N8N, AutoGen, CrewAI, LangGraph, & MCP.
- Build AI agents that remember, reason, and collaborate using memory, tools, guardrails, and handoffs.
- Learn the foundational components of the OpenAI Agents SDK, including the Agent object and Runner class.
- Build and run AI agents and monitor their activity using traces on the OpenAI API platform.
- Build handoff mechanisms that smoothly transfer context and inputs between agents (e.g., Planner → Writer).
- Implement guardrails to enforce boundaries (e.g., preventing responses on restricted topics like politics).
- Explore CrewAI for building more advanced agentic workflows and extend agents with custom Python execution tools for analysis and modeling.
- Grasp the fundamentals of multi-model AI agents in AutoGen and build teams of agents using different LLMs (e.g., GPT, Gemini, Claude).
- Understand how to design agentic workflows in LangGraph, including connecting them to interfaces like Gradio for user interaction.
- Use n8n for low-code automation, building AI-powered flows that integrate with Google Sheets, Calendar, and Gmail.
- Learn the principles of the Model Context Protocol (MCP) for tool interoperability and build agents that interact with MCP services.
- Build manager functions to orchestrate multi-agent workflows from input to final deliverable.
- Build AI agents that integrate Tavily web search for structured, real-time search results.
- Extend agents by integrating OpenAI tools (e.g., Code Interpreter) and combining real-time search, memory, and reasoning into workflows.
- Apply memory-enabled agents to real use cases (e.g., market research assistant) for multi-turn queries.
- Develop a library of specialist agents (Planner, Writer, Analyst, Search Agent) and coordinate their interactions.
- Create collaborative agent teams for real-world tasks like marketing strategy, with the option of adding a human-in-the-loop User Proxy for oversight.
- Build domain-specific LangGraph agents (e.g., flights and hotel booking) and define custom tools for task-specific workflows.
- Create tools as agents by wrapping autonomous agents behind a function-tool interface, enabling seamless invocation by others.
- Design a multi-agent research assistant that can triage queries, delegate tasks, and generate executive-ready reports.
- Design creative multi-agent pipelines for advertising campaigns, with role-specific agents like Creative Director, Strategist, and Copywriter.
- Create and deploy Gradio-based MCP tools as standardized services accessible to agents.
- Create collaborative agent teams for real-world tasks like marketing strategy, with the option of adding a human-in-the-loop User Proxy for oversight.
What's Included in The Agentic AI Engineering Masterclass 2026
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