AI for Cybersecurity (Copy)

Become an AI-first security engineer in 6 weeks! A live bootcamp for security engineers who want to build, deploy and measure real AI agents and models. No ML background required. Course includes access to an active discord community, 3 industry experts as guests, github to store your code and certification! Cohort starts June 5 and ends July 10th. Classes every Tuesday and Friday 5 PM PST. Payment plans and scholarships available. Enrollment open now.

Karan Dwivedi

Taught by Karan Dwivedi

Cybersecurity Expert, 10+ years, Google, Yahoo Security, 20k+ followers

What you'll learn

✓
Learn ML/AI foundations to cut through the buzzwords
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Build and Train Your Own Models
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Build your own AI agents
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Understand how RAG and MCPs work in depth
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Engineer Prompts and Context so your models produce useful output
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Measure effectiveness of your models the right way
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Applications of AI in cybersecurity domains with examples
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Incorporate instant feedback from our AI assignment grader
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3 Industry Experts as Guest Speakers
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Network with our community of 1800+ professionals

Learn directly from the experts

Karan Dwivedi

Karan Dwivedi

Cybersecurity Expert, 10+ years, Google, Yahoo Security, 20k+ followers

10+ years at Google, Yahoo building leading cybersecurity initiatives for 1B+ users. Applying AI in cyber since 2015! 20k+ followers on Social Media

Overview

Watch the program overview

Course syllabus

39 lessons • 21+ hours of content • 4 assignments

AI/ML foundations
1
Key ML concepts every security engineer needs to know
2
AI/ML metrics to care about
3
How LLMs actually work (not the hype version)
4
AI threat landscape
Building and Training Models using Ollama
1
Why local models matter for security
2
Running open-source LLMs locally
3
Fine-tuning a model on security-specific data
4
Evaluating model quality
5
MLOps for security workflows
Prompt and Context Engineering, RAGs, MCPs
1
Prompt engineering techniques that actually work
2
Building a RAG over your own data
3
Structuring knowledge bases for security use cases
4
Model Context Protocols (MCPs) for reliable AI behavior
5
Preventing prompt injection attacks
Building your own Agents using LangFlow
1
What agents are and when to use them vs. simple LLM calls
2
Building a multi-step security automation agent
3
Tool use and function calling
4
Chaining agents for complex workflows
5
Failure modes to watch for in production agents
OWASP Top 10 for LLMs, MITRE ATLAS and Harness Engineering
1
OWASP Top 10 for LLMs
2
MITRE ATLAS Framework
3
Harness Engineering
AI Red Teaming and Adversarial Techniques
1
AI red teaming vs traditional pentesting
2
Attack Techniques and Mitigations
3
How defenders respond
Real-World AI Applications in Cybersecurity
1
Applications in Application Security (e.g. Vulnerability analysis and patch prioritization)
2
Application in Infrastructure Security (risk assessment)
3
Applications in Detection Engineering (e.g. threat and anomaly detection)
4
Applications in Digital Forensics and Incident Response (accelerate IR playbooks)
5
Applications in Pentesting (static and dynamic analysis)
Securing AI Systems You Build
1
Threat modeling AI systems before deployment
2
Hardening RAG and MCPs
3
Securing Models and AI supply chain
AI Governance and Compliance Essentials
1
NIST AI Risk Management Framework
2
EU AI Act and Responsible AI principles
Capstone Project Demos and Course Wrap Up
1
Live demos of selected student's capstone AI security tools
2
Leaderboard and winners annoucement
3
Instructor feedback on projects
4
Parting thoughts

Program Resources

See what you'll be working with

Weekly schedule

Special Guests

Guest of Honour

Zach Wilson

Zach Wilson

Founder of DataExpert.io, over 1 million followers on the internet | ex-Netflix and Airbnb |

Anish Menon

Anish Menon

Security Architect, ex-Apple, Netflix | 15+ years of experience | Platform, Identity & AI | RSAC 2026 Speaker | Pioneering AI-Driven Security

Preeti Ravindra

Preeti Ravindra

10+ years in cybersecurity, ex-IBM | AI Security and Safety, expert | Professional Speaker

Community

Volunteers

Apurv Singh Gautam

Apurv Singh Gautam

Our Course Staff | Threat Intel Expert | Creator of Robin AI tool for investigations | Over 5000+ github stars

Before you join

Prerequisites

Curiosity to learn
Cybersecurity Basics

Scholarship Available

We believe great learning shouldn't be limited by finances. Apply for a partial or full scholarship to access this program.

Apply Now

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Buy for Team

Group purchase & discounts

Buy multiple seats at $1,999 per seat. Bulk discounts apply as your team grows.

20% offMin 2 · Max 50
2 seats × $1,999$3,998.00
Group discount (20%)−$799.60
Total$3,198.40
Per seat$1,599.20

Volume tiers