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Mammoth Club All levels 21 sections 69 lectures

LLM Cybersecurity Cookbook Launch - Build Secure AI Apps in Python

LLMs are powerful—but they also introduce new security risks. This course gives you the insight and tools to protect your systems and stay ahead of emerging threats.

01
Skill level
All levels
02
Sections
21
03
Lectures
69
04
Instructor
Team Mammoth
What's inside

This course includes.

21
Sections
69
Lectures
48
Resources
12
Quizzes
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

21 sections · 69 lectures
+ Foundations of LLM Security 3 lectures
Unique characteristics of LLM security vs traditional systems Locked
The attack surface of AI models Locked
Submit a Question/Feedback Locked
+ Transformer and LLM Internals 2 lectures
Overview of transformer-based models Locked
How LLM internals influence security risks Locked
+ Prompt Injection & Model Exploits 3 lectures
Direct and indirect prompt injections Locked
Model inversion, membership inference, and shadow models Locked
Confidentiality attacks against training data Locked
+ Supply Chain Threats & Output Reliability 4 lectures
Contaminated data poisoning Locked
Backdoors in pre-trained models Locked
Use of hallucinated facts for social engineering Locked
Misalignment between model output and ground truth Locked
+ Trust Boundaries and Secure Design Principles 5 lectures
Human ↔ Model ↔ System interaction zones Locked
Separation of duties in AI workflows Locked
Validating sources, inputs, and external APIs Locked
Pattern-based validation Locked
Model response constraints Locked
+ LLM Threat Modeling Methodologies 2 lectures
STRIDE & DREAD for AI systems Locked
Red-teaming frameworks specific to LLMs Locked
+ Attack Simulation and Adversarial Testing 2 lectures
Pen-testing LLMs Locked
Creating red and blue team exercises Locked
+ Bonus: Cybersecurity for GenAI Web Apps 5 lectures
00 Course Overview Locked
01 What You'll Need Locked
01 Integration Testing With Mocha Locked
02 Test Your API With Mocha And Supertest Locked
Source files Locked
+ Install NPM and Node 3 lectures
00 What Is Node JS Locked
01 Install Node And NPM On Mac Or Windows Locked
Source files Locked
+ Build page templates with HTML and EJS 5 lectures
00 What Is EJS Locked
01 Build A Homepage Locked
02 Build Login And Sign Up Forms Locked
03 Build A Dashboard Locked
Source files Locked
+ Build a web server to render pages 4 lectures
00 What Is Express JS Locked
01 Build A Web Server To Render Pages Locked
02 Handle Routes To Other Pages Locked
Source files Locked
+ Handle form data with body-parser 2 lectures
00 Handle Form Data With Body-Parser Locked
Source Files Locked
+ Install MongoDB 3 lectures
00 What Is A MongoDB NoSQLl Database Locked
01 Install MongoDB On Mac Locked
02 Install MongoDB On Windows Locked
+ Connect to a Mongo database with Mongoose 3 lectures
00 Connect To A Mongo Database With Mongoose Locked
01 Define A User With A Mongoose Model Locked
Source files Locked
+ Authenticate and secure with passport and passport local 4 lectures
00 Use Passport And Passport Local To Authenticate A Signup Locked
01 Authenticate A Login With Passport Locked
02 Check If Logged In Before Showing Dashboard Locked
Source files Locked
+ Use OAuth 2.0 to log in users with a third party 5 lectures
00 Build A New Google Strategy In OAuth 2 Locked
01 Connect OAuth To Web Server Locked
02 Connect OAuth To Mongoose Model Locked
03 Build Routes For Sign Up Or Log In With Third Party Locked
Source files Locked
+ Use environment variables to keep secret keys secure 2 lectures
00 Use Environment Variables To Keep Secret Keys Secure Locked
Source Files Locked
+ Set up project 4 lectures
00 Build A Web Server Locked
01 Add Packages To Server Locked
02 Build Routes To Handle Client Requests Locked
Source files Locked
+ Build EJS views for web pages 3 lectures
00 Build A Homepage Locked
01 Build Signup And Login Views Locked
02 Build A Signed In User Page View Locked
+ Build a user model with bcrypt password security 2 lectures
00 Build A User Model Locked
01 Encrypt Passwords With Bcrypt Locked
+ Local signup authentication with Passport 3 lectures
00 Handle Signup With Passport Locked
01 Handle A Post Request For Signup Locked
02 Local Login Authentication With Passport Locked
Description

About this course.

Designed for security professionals, AI developers, and risk-conscious organizations, this course dives deep into the unique challenges and vulnerabilities of working with large language models.


✅ Understand the distinct security issues posed by LLMs

✅ Identify key threats, attack vectors, and systemic vulnerabilities

✅ Learn how to preserve critical trust boundaries in AI-driven systems

✅ Develop risk-handling strategies tailored to LLM environments

✅ Implement targeted defenses to mitigate high-impact threats

✅ Enforce protections that reduce exposure across the AI pipeline

✅ Build systems that balance innovation with strong security posture


📦 Get lifetime access, downloadable source files, coding interview style questions, and engaging quizzes—all included!


If you work with LLMs, securing them isn’t optional—it’s essential. Enroll now and get the knowledge to defend your systems with confidence.

Ready to start building?

LLMs are powerful—but they also introduce new security risks. This course gives you the insight and tools to protect your systems and stay ahead of emerging threats.

Buy lifetime access →