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The Agentic AI Engineering Masterclass 2026
Build AI Agents Using OpenAI Agents SDK, LangGraph, N8N, CrewAI, AutoGen, CoPilot, ChatGPT Agents, & MCP!. This is applicable to AI Agents & Agentic AI Udemy discount offers.
by Prof. Ryan Ahmed, Stemplicity Inc. · ⭐ 4.4 via Udemy · 27,935 students · English
$11.99$159.9993% OFF
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✓ 93% discount manually re-verified, not an estimate.
✓ Certificate + lifetime access included by Udemy.
⚠ Redemption-limited — can run out without notice.
Price history First-party data
Tracked since September 3, 2025 to July 20, 2026. Red dot = current price ($11.99) — CoursesWyn records the price on each sync.
Current price
$11.99
Original price
$159.99
Tracked since
September 3, 2025
Last checked
Jul 20
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on July 20, 2026. Prices are always confirmed at checkout on the provider’s site.
Deal score Computed, methodology below
8.9
/ 10
Discount depth
93%
Udemy rating
4.4 / 5
Popularity
27,935 students
Tracking length
340 days
Score = weighted average of discount depth, how often CoursesWyn re-checks this code, historical price volatility, and how fast past redemptions were claimed. Not an editorial opinion on the course itself.
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Sep 3, 2025Listed by CoursesWyn — price recorded at $11.99Listed
Jul 20, 2026Coupon checked — checkout price $11.99 · listed until Jul 22Working
Course details Synced from Udemy
Fields below are pulled from Udemy’s public catalog and recorded when CoursesWyn syncs — they are catalog data, not editorial description.
| Last checked | July 20, 2026 |
| Level | All Levels |
| Content | 13 hours 30 minutes |
| Language | English |
| Requirements | You will need a laptop and an internet connection! · No programming experience required; basic Python skills are a plus. |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
What you'll learn From the course description
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.
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Coupon & redemption FAQ
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