AI Agent Security for FDEs and AI Engineers

Eden Marco

AI Architect | LangChain Ambassador

Ship AI agents your team and your customers can trust

AI agents now read email, call tools, touch customer data and write code. Most teams ship them with the same habits they used for chatbots, and security gets looked at late, if at all.

This course is for the people building those agents. Over 8 weeks we take one real help desk agent built with LangGraph and MCP, see how it breaks, and fix it step by step: tool access, permissions, prompt injection, MCP servers and skills, memory, and the coding agents you use to build it all.

Each week has on-demand lessons, a live session with me, and a live interview with an expert working in agent security, cybersecurity or agent development. Everything is recorded.

You don't need a security background. You need to be someone who builds agents and wants to do it well.

My Udemy courses have reached 400K+ engineers. The LangChain & LangGraph AI Engineer course is rated 4.7 from 55,000+ ratings.

What you’ll learn

Become the engineer your team trusts to build and ship AI agents safely, from first line of code to production.

Start from a working LangGraph + MCP help desk agent and see exactly where it breaks under attack.
Map what your agent can touch (tools, data, memory) so you know what to protect first
Leave with a simple checklist you can run on any agent before launch

Fix the access bugs that let one user reach another’s data through the agent
Add permission checks and human approval to the tool calls that matter
Leave with tested code patterns you can drop into your own agents.

Watch a poisoned document or tool result take over the agent, then reproduce it yourself
Add layered defenses in code, including validating tool calls by intent before they run
Leave with a test set that proves your fixes hold.

how a third-party MCP server or skill can turn your agent against you
Leave with a locked-down MCP setup and a checklist for vetting new servers

Learn where AI-generated code introduces vulnerabilities and how to catch them in review
Configure permissions and managed settings so your coding agent can’t leak secrets or run risky commands
Leave with a secure setup and review workflow for your team

Learn directly from Eden

Eden Marco

Contact

AI Architect, LangChain Ambassador, Course author, 400K+ students taught

Background

See all products from Eden Marco

Who this course is for

FDEs, AI engineers and developers who build agents with LangGraph, MCP or similar tools and want them ready for real users and real data.
Forward deployed engineers and solutions architects who deliver agents to enterprise customers and needs them secured
Tech leads and engineering managers whose teams use coding agents like Claude Code and Cursor and who own the decision to launch.

Prerequisites

Comfortable with Python, APIs and basic cloud deployment
Examples and projects are in Python. You should know what an API is and roughly how apps get deployed to the cloud.
Some experience building AI agents
You’ve built or worked on an agent with LangChain, LangGraph or a similar framework, or you use coding agents like Claude
Experience using a coding agent
You’ve used Claude Code, Cursor or a similar coding agent in your own development work.

What's included

Live sessions

Learn directly from Eden Marco in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Hands-on projects

Learn by building, with practical projects throughout the course

Community of peers

Stay accountable and share insights with like-minded professionals.

Live expert interviews

I interview a subject-matter expert in agent security, cybersecurity or agent development from companies

Weekly office hours

Bring your own agent, your code or a blocker from the project. I’ll review it with you live and the group learns from every question

Checklists and templates

pre-launch agent security checklist, an MCP server vetting checklist and a secure setup guide for coding agents like Claude Code and Cursor.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

17 live sessions • 16 lessons

Week 1

Jan 4—Jan 10

Foundations of agentic coding security

Jan
4
Welcome and kickoff
Mon 1/412:00 PM—12:30 PM (EST)
Jan
5
Live session: map the attack surface of an AI agent
Tue 1/512:00 PM—1:00 PM (EST)
Jan
7
Expert interview: how attackers target AI agents
Thu 1/712:00 PM—1:00 PM (EST)

2 more items

Week 2

Jan 11—Jan 17

Securing MCP and agent skills

Jan
12
Live session: security boundaries for Claude Code, MCP and skills
Tue 1/1212:00 PM—1:00 PM (EST)
Jan
14
Expert interview: MCP and supply chain security
Thu 1/1412:00 PM—1:00 PM (EST)

2 more items

Testimonials

Outstanding course! In a class of its own. You can barely find this information anywhere, not even on youtube or reddit.
MacGuvyer
Udemy student, AI Agent Security course
AI security has always been my favorite topic to explore, and Eden, as always, breaks it down beautifully with clear, step-by-step practical examples and detailed explanations. I love the course.
Amin S.
Udemy student, AI Agent Security course
Nice practical steps provided for preventing the attacks and also the examples linked to the OWASP top 10 LLM was very useful.
Hardik T.
Udemy student, AI Agent Security course
Great course. Good to see the LLM security aspects from a proper white box perspective.
Varkey J.
Udemy student, AI Agent Security course
I have already got new ideas about how to work with my agents and the course has just started.
Mircea G.
Udemy student, AI Agent Security course
Taught exceptionally well using first principles, bridging concepts all the way to production-grade applications. One of the best courses I have taken.
Rishab A.
Udemy student, LangChain & LangGraph AI Engineer course