The Agentic AI Engineering Masterclass 2026 — 95% Off Coupon

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

4.7 4,104 students enrolledCreated by Prof. Ryan Ahmed, Ph.D., MBA, Stemplicity Inc.Last updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: The Agentic AI Engineering Masterclass 2026
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Prof. Ryan Ahmed, Ph.D., MBA, Stemplicity Inc.
•Coupon Verified On: January 11, 2026
•Difficulty Level: Advanced
•Category: IT & Software
•Subcategory: AI Agents & Agentic AI
•Duration: 13h 30m of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: 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.
•Prerequisites: You will need a laptop and an internet connection! · No programming experience required; basic Python skills are a plus.
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓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.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

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

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Prof. Ryan Ahmed, Ph.D., MBA, Stemplicity Inc.. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Prof. Ryan Ahmed, Ph.D., MBA, Stemplicity Inc.
•Field: IT & Software
•Teaching Style: Practical, project-based learning (as described in course curriculum)

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

The Agentic AI Engineering Masterclass 2026 is a it & software course offered on Udemy by instructor Prof. Ryan Ahmed, Ph.D., MBA, Stemplicity Inc., spanning 13h 30m of on-demand content. It holds a 4.7/5 rating from over 4,104 enrolled students.

Through CourseSpeak, you can access this course with a 95% discount coupon. The coupon was last verified on January 11, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.7/5) and enrollment numbers (4,104 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of January 2026. For individual student reviews, visit the course page directly.

4.7
4,104 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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