The Agentic AI Engineering Masterclass 202695% OFF Coupon

Build AI Agents Using OpenAI Agents SDK, LangGraph, N8N, CrewAI, AutoGen, CoPilot, ChatGPT Agents, & MCP!

4.7 out of 5
4,104 students
English
Updated January 2026

Quick Facts — Course Summary

Here's a comprehensive overview of The Agentic AI Engineering Masterclass 2026 — including pricing, duration, instructor credentials, curriculum highlights, and coupon validity. All data is verified against Udemy listings on May 30, 2026.

Here's a quick overview of everything you need to know about The Agentic AI Engineering Masterclass 2026 before you enroll:

Course Name: The Agentic AI Engineering Masterclass 2026
Platform: Udemy
Coupon Last Verified: January 11, 2026
Level: Advanced
Topic: IT & Software
Subtopic: AI Agents & Agentic AI
Total Time: 13h 30m of video content
Language: English
Access Type: Unlimited lifetime access + updates
Certificate: Included upon completion from Udemy
Main Skills: 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.
Requirements: You will need a laptop and an internet connection! · No programming experience required; basic Python skills are a plus.
Current Price: $9.99 (was $199.99). You save $190.00 with 95% discount.
How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By completing The Agentic AI Engineering Masterclass 2026, you'll gain practical, job-ready skills in IT & Software. The curriculum is designed by Prof. Ryan Ahmed, Ph.D., MBA, Stemplicity Inc. to ensure you develop real-world competencies that employers value.

By the end of The Agentic AI Engineering Masterclass 2026, you'll have these practical skills:

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 You Need Before Starting

Before enrolling in The Agentic AI Engineering Masterclass 2026, review the recommended prerequisites below. Meeting these requirements will help you follow the course material effectively and get the most out of your learning experience on Udemy.

Before enrolling in The Agentic AI Engineering Masterclass 2026, make sure you have:

You will need a laptop and an internet connection!
No programming experience required; basic Python skills are a plus.

About This Udemy Course

The following is the full official course description for The Agentic AI Engineering Masterclass 2026 as published on Udemy by instructor Prof. Ryan Ahmed, Ph.D., MBA, Stemplicity Inc.:

In this hands-on masterclass, you’ll learn how to design, build, and deploy next-generation AI agents that combine memory, tools, collaboration, and automation to solve real-world problems. Starting with the OpenAI Agents SDK, you’ll explore how to create simple agents and gradually extend them with advanced features such as persistent memory, guardrails, and smooth handoffs between workflows.

You’ll then dive into multi-agent systems, where specialized agents, like researchers, analysts, and writers, work together, passing context and outputs to build complex deliverables. Along the way, you’ll learn how to orchestrate these systems with manager functions, enforce ethical and domain boundaries with guardrails, and design creative pipelines for use cases from market research to advertising campaigns.

The course introduces multiple frameworks for building production-ready agentic workflows. You’ll explore AutoGen for multi-model collaboration, LangGraph for modular pipelines connected to user interfaces, and CrewAI for advanced orchestration. You’ll also learn how to extend agents with custom tools, from Python code execution for data analysis to classical machine learning models like linear regression, random forest, and XGBoost.

You’ll gain practical experience with the Model Context Protocol (MCP), enabling agents to interoperate with standardized external services, and learn how to build and deploy MCP tools using Gradio. Finally, you’ll see how low-code platforms like n8n can bring everything together into seamless automation flows, integrating Gmail, Google Sheets, Google Calendar, and AI models to create complete end-to-end systems.

By the end of the course, you’ll have the skills to:

  • Build AI agents with memory, tools, and reasoning capabilities.
  • Orchestrate multi-agent workflows for research, analysis, and creative tasks.
  • Integrate guardrails, handoffs, and oversight to ensure safe, reliable outputs.
  • Deploy advanced agentic workflows across AutoGen, LangGraph, CrewAI, and MCP.
  • Automate business processes with low-code tools like n8n connected to real-world apps.

Whether you’re a developer, data scientist, or business innovator, this course equips you with the full toolkit to design AI systems that collaborate, automate, and scale in production.

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Is the The Agentic AI Engineering Masterclass 2026 Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.Last updated: January 11, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, The Agentic AI Engineering Masterclass 2026 is a high-value resource for learners seeking to build skills inIT & Software. Taught by Prof. Ryan Ahmed, Ph.D., MBA, Stemplicity Inc. on Udemy, the 13h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 95%, from $199.99 to $9.99, removing the primary financial barrier to enrollment.

What We Like (Pros)

  • Verified 95% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.7 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 4,104 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in The Agentic AI Engineering Masterclass 2026:

  • The depth of IT & Software coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing

Course Rating Summary

The Agentic AI Engineering Masterclass 2026 has earned an aggregate rating of 4.7 out of 5 from 4,104 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.

4.7
★★★★★
4,104 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

Prof. Ryan Ahmed, Ph.D., MBA, Stemplicity Inc. is the instructor behind The Agentic AI Engineering Masterclass 2026 on Udemy. Learn about their teaching background, subject matter expertise, and instructional approach to determine if this course matches your learning style.

The Agentic AI Engineering Masterclass 2026 is taught by Prof. Ryan Ahmed, Ph.D., MBA, Stemplicity Inc., a Udemy instructor specializing in IT & Software. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

Subject Area: IT & Software
Teaching Approach: Practical, project-based instruction focused on real-world application of IT & Software skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about The Agentic AI Engineering Masterclass 2026, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

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